1.
Eitan Flor, Ramazan Aygun, Suat Mercan, Kemal Akkaya
Prnu-based source camera identification for multimedia forensics Proceedings Article
In: 2021 IEEE 22nd International Conference on Information Reuse and Integration for Data Science (IRI), pp. 168–175, IEEE, 2021.
Abstract | Links | BibTeX | Tags: Multimedia
@inproceedings{nokey,
title = {Prnu-based source camera identification for multimedia forensics},
author = {Eitan Flor and Ramazan Aygun and Suat Mercan and Kemal Akkaya},
url = {https://ieeexplore.ieee.org/abstract/document/9599116/},
year = {2021},
date = {2021-08-10},
booktitle = {2021 IEEE 22nd International Conference on Information Reuse and Integration for Data Science (IRI)},
pages = {168–175},
publisher = {IEEE},
school = {Florida International University},
abstract = {With the increased development and reliance on multimedia data, the importance of attributing the device or camera of origin in the form of source camera identification (SCI) has gained traction in cybersecurity, specifically within digital multimedia forensics. Photo-Response Non-Uniformity (PRNU) is a popular and widely used method for extracting a unique and reliable sensor pattern fingerprint for SCI purposes. The usage of PRNU in distinguishing cameras across different manufacturers and models has proven to be successful; however, we demonstrate that current approaches fail to distinguish cameras amongst the same manufacturers and models. As such, in this paper, we propose a new algorithm that focuses on emphasizing the pixels that contribute to the sensor noise in the PRNU pattern to distinguish cameras of the same type. Unlike other similarity metrics used in the process of SCI, we utilize the},
keywords = {Multimedia},
pubstate = {published},
tppubtype = {inproceedings}
}
With the increased development and reliance on multimedia data, the importance of attributing the device or camera of origin in the form of source camera identification (SCI) has gained traction in cybersecurity, specifically within digital multimedia forensics. Photo-Response Non-Uniformity (PRNU) is a popular and widely used method for extracting a unique and reliable sensor pattern fingerprint for SCI purposes. The usage of PRNU in distinguishing cameras across different manufacturers and models has proven to be successful; however, we demonstrate that current approaches fail to distinguish cameras amongst the same manufacturers and models. As such, in this paper, we propose a new algorithm that focuses on emphasizing the pixels that contribute to the sensor noise in the PRNU pattern to distinguish cameras of the same type. Unlike other similarity metrics used in the process of SCI, we utilize the
2.
Khaled Rabieh, Suat Mercan, Kemal Akkaya, Vashish Baboolal, Ramazan S Aygun
Privacy-preserving and efficient sharing of drone videos in public safety scenarios using proxy re-encryption Proceedings Article
In: 2020 IEEE 21st International Conference on Information Reuse and Integration for Data Science (IRI), pp. 45–52, IEEE, 2020.
Abstract | Links | BibTeX | Tags: Multimedia
@inproceedings{nokey,
title = {Privacy-preserving and efficient sharing of drone videos in public safety scenarios using proxy re-encryption},
author = {Khaled Rabieh and Suat Mercan and Kemal Akkaya and Vashish Baboolal and Ramazan S Aygun},
url = {https://ieeexplore.ieee.org/abstract/document/9191397/},
year = {2020},
date = {2020-08-11},
booktitle = {2020 IEEE 21st International Conference on Information Reuse and Integration for Data Science (IRI)},
pages = {45–52},
publisher = {IEEE},
school = {Florida International University},
abstract = {Unmanned Aerial Vehicles (UAVs) also known as drones are being used in many applications where they can record or stream videos. One interesting application is the Intelligent Transportation Systems (ITS) and public safety applications where drones record videos and send them to a control center for further analysis. These videos are shared by various clients such as law enforcement or emergency personnel. In such cases, the recording might include faces of civilians or other sensitive information that might pose privacy concerns. While the video can be encrypted and stored in the cloud that way, it can still be accessed once the keys are exposed to third parties which is completely insecure. To prevent such insecurity, in this paper, we propose proxy re-encryption based sharing scheme to enable third parties to access only limited videos without having the original encryption key. The costly pairing},
keywords = {Multimedia},
pubstate = {published},
tppubtype = {inproceedings}
}
Unmanned Aerial Vehicles (UAVs) also known as drones are being used in many applications where they can record or stream videos. One interesting application is the Intelligent Transportation Systems (ITS) and public safety applications where drones record videos and send them to a control center for further analysis. These videos are shared by various clients such as law enforcement or emergency personnel. In such cases, the recording might include faces of civilians or other sensitive information that might pose privacy concerns. While the video can be encrypted and stored in the cloud that way, it can still be accessed once the keys are exposed to third parties which is completely insecure. To prevent such insecurity, in this paper, we propose proxy re-encryption based sharing scheme to enable third parties to access only limited videos without having the original encryption key. The costly pairing
3.
Dominik Danko, Suat Mercan, Mumin Cebe, Kemal Akkaya
Assuring the integrity of videos from wireless-based IoT devices using blockchain Proceedings Article
In: 2019 IEEE 16th International Conference on Mobile Ad Hoc and Sensor Systems Workshops (MASSW), pp. 48–52, IEEE, 2019.
Abstract | Links | BibTeX | Tags: Multimedia
@inproceedings{nokey,
title = {Assuring the integrity of videos from wireless-based IoT devices using blockchain},
author = {Dominik Danko and Suat Mercan and Mumin Cebe and Kemal Akkaya},
url = {https://ieeexplore.ieee.org/abstract/document/9059515/},
year = {2019},
date = {2019-11-04},
booktitle = {2019 IEEE 16th International Conference on Mobile Ad Hoc and Sensor Systems Workshops (MASSW)},
pages = {48–52},
publisher = {IEEE},
school = {Florida International University},
abstract = {Blockchain technology has drawn attention from various communities. The underlying consensus mechanism in Blockchain enables a myriad of applications for the integrity assurance of stored data. In this paper, we utilize Blockchain technology to verify the authenticity of a video captured by a streaming IoT device for forensic investigation purposes. The proposed approach computes the hash of video frames before they leave the IoT device and are transferred to a remote base station. To guarantee the transmission, we ensure that this hash is sent through a TCP-based connection. The hash is then stored on multiple nodes on a permissioned blockchain platform. In case the video is modified, the discrepancy will be detected by investigating the previously stored hash on the blockchain and comparing it with the hash of the existing frame in question. In this work, we present the prototype as proof-of-concept with},
keywords = {Multimedia},
pubstate = {published},
tppubtype = {inproceedings}
}
Blockchain technology has drawn attention from various communities. The underlying consensus mechanism in Blockchain enables a myriad of applications for the integrity assurance of stored data. In this paper, we utilize Blockchain technology to verify the authenticity of a video captured by a streaming IoT device for forensic investigation purposes. The proposed approach computes the hash of video frames before they leave the IoT device and are transferred to a remote base station. To guarantee the transmission, we ensure that this hash is sent through a TCP-based connection. The hash is then stored on multiple nodes on a permissioned blockchain platform. In case the video is modified, the discrepancy will be detected by investigating the previously stored hash on the blockchain and comparing it with the hash of the existing frame in question. In this work, we present the prototype as proof-of-concept with
4.
Hakan Oztarak, Kemal Akkaya, Adnan Yazici, Pinar Sarisaray-Boluk
Efficient active rule processing in wireless multimedia sensor networks Journal Article
In: International Journal of Ad Hoc and Ubiquitous Computing, vol. 21, iss. 1, no. 1, pp. 64–77, 2016.
Abstract | Links | BibTeX | Tags: Multimedia
@article{nokey,
title = {Efficient active rule processing in wireless multimedia sensor networks},
author = {Hakan Oztarak and Kemal Akkaya and Adnan Yazici and Pinar Sarisaray-Boluk},
url = {https://www.inderscienceonline.com/doi/abs/10.1504/IJAHUC.2016.074390},
year = {2016},
date = {2016-00-00},
journal = {International Journal of Ad Hoc and Ubiquitous Computing},
volume = {21},
number = {1},
issue = {1},
pages = {64–77},
publisher = {Inderscience Publishers (IEL)},
school = {Florida International University},
abstract = {Due to limited energy resources in wireless multimedia sensor networks (WMSNs), there is a need to perform data reduction and elimination over raw video data at the camera sensors before transmission. Nonetheless, this data reduction and elimination may create imprecision and uncertainty in the data, reducing the quality of decision making. In this paper, we propose a reactive mechanism for not only fusing uncertain data at the sink but also for automated processing of data using active rules, extending the classical event-condition-action structure. In this mechanism, data fusion is performed using fuzzy logic to handle uncertainty in the received data. The fused data is then processed to infer certain predefined actions. These actions are triggered based on both the predefined event definitions and temporal and spatial data about the detected objects. Through experimentation, the proposed mechanism is shown},
keywords = {Multimedia},
pubstate = {published},
tppubtype = {article}
}
Due to limited energy resources in wireless multimedia sensor networks (WMSNs), there is a need to perform data reduction and elimination over raw video data at the camera sensors before transmission. Nonetheless, this data reduction and elimination may create imprecision and uncertainty in the data, reducing the quality of decision making. In this paper, we propose a reactive mechanism for not only fusing uncertain data at the sink but also for automated processing of data using active rules, extending the classical event-condition-action structure. In this mechanism, data fusion is performed using fuzzy logic to handle uncertainty in the received data. The fused data is then processed to infer certain predefined actions. These actions are triggered based on both the predefined event definitions and temporal and spatial data about the detected objects. Through experimentation, the proposed mechanism is shown
5.
Bilal Gonen, Kemal Akkaya, Fatih Senel
Efficient camera selection for maximized target coverage in underwater acoustic sensor networks Proceedings Article
In: 2015 IEEE 40th Conference on Local Computer Networks (LCN), pp. 470–473, IEEE, 2015.
Abstract | Links | BibTeX | Tags: Multimedia
@inproceedings{nokey,
title = {Efficient camera selection for maximized target coverage in underwater acoustic sensor networks},
author = {Bilal Gonen and Kemal Akkaya and Fatih Senel},
url = {https://ieeexplore.ieee.org/abstract/document/7366355/},
year = {2015},
date = {2015-10-26},
booktitle = {2015 IEEE 40th Conference on Local Computer Networks (LCN)},
pages = {470–473},
publisher = {IEEE},
school = {Florida International University},
abstract = {In addition to sensors, cameras have started to be deployed in underwater acoustic sensor networks (UWASNs) for improved monitoring. However, since cameras already consume a lot of energy, they are kept in sleep mode most of the time and only activated when sensors detect a target. Due to random deployment and lack of cameras, there may not be any cameras within the vicinity of a detected target. A possible solution to this problem is to relocate remote cameras via vertical movements to certain locations to capture the target. In this paper, we propose a distributed camera selection and relocation scheme in UWASNs to maximize the coverage of the detected targets with the least vertical movement of cameras. The problem is modeled as a weighted set covering problem and solved using a greedy heuristic. The performance of the proposed approach is assessed through extensive simulations under a},
keywords = {Multimedia},
pubstate = {published},
tppubtype = {inproceedings}
}
In addition to sensors, cameras have started to be deployed in underwater acoustic sensor networks (UWASNs) for improved monitoring. However, since cameras already consume a lot of energy, they are kept in sleep mode most of the time and only activated when sensors detect a target. Due to random deployment and lack of cameras, there may not be any cameras within the vicinity of a detected target. A possible solution to this problem is to relocate remote cameras via vertical movements to certain locations to capture the target. In this paper, we propose a distributed camera selection and relocation scheme in UWASNs to maximize the coverage of the detected targets with the least vertical movement of cameras. The problem is modeled as a weighted set covering problem and solved using a greedy heuristic. The performance of the proposed approach is assessed through extensive simulations under a
6.
Pinar Sarisaray-Boluk, Kemal Akkaya
Performance comparison of data reduction techniques for wireless multimedia sensor network applications Journal Article
In: International Journal of Distributed Sensor Networks, vol. 11, iss. 8, no. 8, pp. 873495, 2015.
Abstract | Links | BibTeX | Tags: Multimedia
@article{nokey,
title = {Performance comparison of data reduction techniques for wireless multimedia sensor network applications},
author = {Pinar Sarisaray-Boluk and Kemal Akkaya},
url = {https://journals.sagepub.com/doi/abs/10.1155/2015/873495},
year = {2015},
date = {2015-08-24},
journal = {International Journal of Distributed Sensor Networks},
volume = {11},
number = {8},
issue = {8},
pages = {873495},
publisher = {SAGE Publications},
school = {Florida International University},
abstract = {With the increased use of smart phones, Wireless Multimedia Sensor Networks (WMSNs) will have opportunities to deploy such devices in several contexts for data collection and processing. While smart phones come with richer resources and can do complex processing, their battery is still limited. Background subtraction (BS) and compression techniques are common data reduction schemes, which have been used for camera sensors to reduce energy consumption in WMSNs. In this paper, we investigate the performance of various BS algorithms and compression techniques in terms of computation and communication energy, time, and quality. We have picked five different BS algorithms and two compression techniques and implemented them in an Android platform. Considering the fact that these BS algorithms will be run within the context of WMSNs where the data is subject to packet losses and errors, we},
keywords = {Multimedia},
pubstate = {published},
tppubtype = {article}
}
With the increased use of smart phones, Wireless Multimedia Sensor Networks (WMSNs) will have opportunities to deploy such devices in several contexts for data collection and processing. While smart phones come with richer resources and can do complex processing, their battery is still limited. Background subtraction (BS) and compression techniques are common data reduction schemes, which have been used for camera sensors to reduce energy consumption in WMSNs. In this paper, we investigate the performance of various BS algorithms and compression techniques in terms of computation and communication energy, time, and quality. We have picked five different BS algorithms and two compression techniques and implemented them in an Android platform. Considering the fact that these BS algorithms will be run within the context of WMSNs where the data is subject to packet losses and errors, we
7.
Pinar Sarisaray-Boluk, Kemal Akkaya
Performance evaluation of background subtraction algorithms for android devices deployed in Wireless Multimedia Sensor Networks Proceedings Article
In: 2014 International Wireless Communications and Mobile Computing Conference (IWCMC), pp. 779–784, IEEE, 2014.
Abstract | Links | BibTeX | Tags: Multimedia
@inproceedings{nokey,
title = {Performance evaluation of background subtraction algorithms for android devices deployed in Wireless Multimedia Sensor Networks},
author = {Pinar Sarisaray-Boluk and Kemal Akkaya},
url = {https://ieeexplore.ieee.org/abstract/document/6906455/},
year = {2014},
date = {2014-08-04},
booktitle = {2014 International Wireless Communications and Mobile Computing Conference (IWCMC)},
pages = {779–784},
publisher = {IEEE},
school = {Florida International University},
abstract = {With the increased use of smart phones, Wireless Multimedia Sensor Networks (WMSNs) will have opportunities to deploy such devices in several contexts for data collection and processing. While smart phones come with richer resources and can do complex processing, their battery is still limited. Therefore, data reduction techniques can be used on these devices to reduce energy consumption. One of the common techniques for energy reduction is background subtraction, which has been used for camera sensors in WMSNs. In this paper, we investigate the performance of various BS algorithms on Android devices in terms of computation and communication energy, time and quality. To this end, we picked five different BS algorithms and implemented them in an Android platform. Considering the fact that these BS algorithms will be run within the context of WMSNs where the data is subject to packet losses and},
keywords = {Multimedia},
pubstate = {published},
tppubtype = {inproceedings}
}
With the increased use of smart phones, Wireless Multimedia Sensor Networks (WMSNs) will have opportunities to deploy such devices in several contexts for data collection and processing. While smart phones come with richer resources and can do complex processing, their battery is still limited. Therefore, data reduction techniques can be used on these devices to reduce energy consumption. One of the common techniques for energy reduction is background subtraction, which has been used for camera sensors in WMSNs. In this paper, we investigate the performance of various BS algorithms on Android devices in terms of computation and communication energy, time and quality. To this end, we picked five different BS algorithms and implemented them in an Android platform. Considering the fact that these BS algorithms will be run within the context of WMSNs where the data is subject to packet losses and
8.
Hakan Oztarak, Kemal Akkaya
Efficient tracking of multiple objects in wireless multimedia sensor networks Journal Article
In: 2013.
Abstract | Links | BibTeX | Tags: Multimedia
@article{nokey,
title = {Efficient tracking of multiple objects in wireless multimedia sensor networks},
author = {Hakan Oztarak and Kemal Akkaya},
url = {https://open.metu.edu.tr/handle/11511/55806},
year = {2013},
date = {2013-01-01},
school = {Florida International University},
abstract = {Wireless Multimedia Sensor Networks (WMSNs) are characterized by large number of resource constrained camera sensors. In remote surveillance applications, such resource constraints necessitate the design of lightweight solutions for traditional problems such as object localization and real-time tracking. In this paper, we propose an energy-efficient object localization and multiple object tracking scheme for WMSNs. The object localization is performed by individual camera sensors. For that purpose, the approach first extracts the detected object from the video frame and finds its boundary using frame differencing. The location of the object is then estimated with the help of the camera sensor's location, distance of the object to the camera and camera/frame size properties. After localizing a detected object, its boundary information is used to perform a fuzzy object classification at the camera sensor. Finally, limited information containing the location and classification of the object are transmitted to the sink node to be used in real-time object tracking. In this way, without receiving the raw video data from the camera sensors, the sink can identify a specific object even though its information may come from several camera sensors at different times, and determine its path for the purpose of tracking. Via extensive simulations, the proposed approach has been shown to provide higher localization and identification accuracies with little cost on camera sensors even under low camera coverage.},
keywords = {Multimedia},
pubstate = {published},
tppubtype = {article}
}
Wireless Multimedia Sensor Networks (WMSNs) are characterized by large number of resource constrained camera sensors. In remote surveillance applications, such resource constraints necessitate the design of lightweight solutions for traditional problems such as object localization and real-time tracking. In this paper, we propose an energy-efficient object localization and multiple object tracking scheme for WMSNs. The object localization is performed by individual camera sensors. For that purpose, the approach first extracts the detected object from the video frame and finds its boundary using frame differencing. The location of the object is then estimated with the help of the camera sensor's location, distance of the object to the camera and camera/frame size properties. After localizing a detected object, its boundary information is used to perform a fuzzy object classification at the camera sensor. Finally, limited information containing the location and classification of the object are transmitted to the sink node to be used in real-time object tracking. In this way, without receiving the raw video data from the camera sensors, the sink can identify a specific object even though its information may come from several camera sensors at different times, and determine its path for the purpose of tracking. Via extensive simulations, the proposed approach has been shown to provide higher localization and identification accuracies with little cost on camera sensors even under low camera coverage.
9.
Hakan Oztarak, Turgay Yilmaz, Kemal Akkaya, Adnan Yazici
Efficient and accurate object classification in wireless multimedia sensor networks Proceedings Article
In: 2012 21st International Conference on Computer Communications and Networks (ICCCN), pp. 1–7, IEEE, 2012.
Abstract | Links | BibTeX | Tags: Multimedia
@inproceedings{nokey,
title = {Efficient and accurate object classification in wireless multimedia sensor networks},
author = {Hakan Oztarak and Turgay Yilmaz and Kemal Akkaya and Adnan Yazici},
url = {https://ieeexplore.ieee.org/abstract/document/6289244/},
year = {2012},
date = {2012-07-30},
booktitle = {2012 21st International Conference on Computer Communications and Networks (ICCCN)},
pages = {1–7},
publisher = {IEEE},
school = {Florida International University},
abstract = {Object classification from video frames has become more challenging in the context of Wireless Multimedia Sensor Networks (WMSNs). This is mainly due to the fact that these networks are severely resource constrained in terms of the deployed camera sensors. The resources refer to battery, processor, memory and storage of the camera sensor. Limited resources mandates the need for efficient classification techniques in terms of energy consumption, space usage and processing power. In this paper, we propose an efficient yet accurate classification algorithm for WMSNs using a genetic algorithm-based classifier. The efficiency of the algorithm is achieved by extracting two simple but effective features of the objects from the video frames, namely shape of the minimum bounding box of the object and the speed of the object in the monitored region. The accuracy of the classification, on the other hand, is provided},
keywords = {Multimedia},
pubstate = {published},
tppubtype = {inproceedings}
}
Object classification from video frames has become more challenging in the context of Wireless Multimedia Sensor Networks (WMSNs). This is mainly due to the fact that these networks are severely resource constrained in terms of the deployed camera sensors. The resources refer to battery, processor, memory and storage of the camera sensor. Limited resources mandates the need for efficient classification techniques in terms of energy consumption, space usage and processing power. In this paper, we propose an efficient yet accurate classification algorithm for WMSNs using a genetic algorithm-based classifier. The efficiency of the algorithm is achieved by extracting two simple but effective features of the objects from the video frames, namely shape of the minimum bounding box of the object and the speed of the object in the monitored region. The accuracy of the classification, on the other hand, is provided
10.
Hakan Öztarak, Kemal Akkaya, Adnan Yazici
Providing automated actions in wireless multimedia sensor networks via active rules Journal Article
In: pp. 185–190, 2012.
Abstract | Links | BibTeX | Tags: Multimedia
@article{nokey,
title = {Providing automated actions in wireless multimedia sensor networks via active rules},
author = {Hakan Öztarak and Kemal Akkaya and Adnan Yazici},
url = {https://link.springer.com/chapter/10.1007/978-1-4471-2155-8_23},
year = {2012},
date = {2012-00-00},
booktitle = {Computer and Information Sciences II: 26th International Symposium on Computer and Information Sciences},
pages = {185–190},
publisher = {Springer London},
school = {Florida International University},
abstract = {Manual processing of multimedia data in Wireless Multimedia Sensor Networks (WMSNs) may not always be possible. This necessitates autonomous operation of data processing at the sink for taking actions as well as communicating with the appropriate personnel whenever needed. In this paper, we propose a framework for fusing and automated processing of incomplete/imprecise WMSN data using active rules. First, data fusion is performed via fuzzy logic to handle the uncertainty in the received data at the sink. We then extend Event-Condition-Action (ECA) rules to process the data and infer predefined actions. The proposed approach has been shown to provide automated actions with higher accuracies.},
keywords = {Multimedia},
pubstate = {published},
tppubtype = {article}
}
Manual processing of multimedia data in Wireless Multimedia Sensor Networks (WMSNs) may not always be possible. This necessitates autonomous operation of data processing at the sink for taking actions as well as communicating with the appropriate personnel whenever needed. In this paper, we propose a framework for fusing and automated processing of incomplete/imprecise WMSN data using active rules. First, data fusion is performed via fuzzy logic to handle the uncertainty in the received data at the sink. We then extend Event-Condition-Action (ECA) rules to process the data and infer predefined actions. The proposed approach has been shown to provide automated actions with higher accuracies.
11.
Andrew Newell, Kemal Akkaya
Distributed collaborative camera actuation for redundant data elimination in wireless multimedia sensor networks Journal Article
In: Ad Hoc Networks, vol. 9, iss. 4, no. 4, pp. 514–527, 2011.
Abstract | Links | BibTeX | Tags: Multimedia
@article{nokey,
title = {Distributed collaborative camera actuation for redundant data elimination in wireless multimedia sensor networks},
author = {Andrew Newell and Kemal Akkaya},
url = {https://www.sciencedirect.com/science/article/pii/S1570870510000995},
year = {2011},
date = {2011-06-01},
journal = {Ad Hoc Networks},
volume = {9},
number = {4},
issue = {4},
pages = {514–527},
publisher = {Elsevier},
school = {Florida International University},
abstract = {Given the high cost of processing and communicating the multimedia data in wireless multimedia sensor networks (WMSNs), it is important to reduce possible data redundancy. Therefore, camera sensors should only be actuated when an event is detected within their vicinity. In the meantime, the coverage of the event should not be compromised. In this paper, we propose a low-cost distributed actuation scheme which strives to turn on the least number of cameras to avoid possible redundancy in the multimedia data while still providing the necessary event coverage. The basic idea of this scheme is the collaboration of camera sensors that have heard from scalar sensors about an occurring event to minimize the possible coverage overlaps. This is done by either counting the number of scalar sensors or determining the event boundaries with scalar sensors. Through simulation, we show how the distributed scheme},
keywords = {Multimedia},
pubstate = {published},
tppubtype = {article}
}
Given the high cost of processing and communicating the multimedia data in wireless multimedia sensor networks (WMSNs), it is important to reduce possible data redundancy. Therefore, camera sensors should only be actuated when an event is detected within their vicinity. In the meantime, the coverage of the event should not be compromised. In this paper, we propose a low-cost distributed actuation scheme which strives to turn on the least number of cameras to avoid possible redundancy in the multimedia data while still providing the necessary event coverage. The basic idea of this scheme is the collaboration of camera sensors that have heard from scalar sensors about an occurring event to minimize the possible coverage overlaps. This is done by either counting the number of scalar sensors or determining the event boundaries with scalar sensors. Through simulation, we show how the distributed scheme
12.
Andrew Newell, Kemal Akkaya
Self-actuation of camera sensors for redundant data elimination in wireless multimedia sensor networks Proceedings Article
In: 2009 IEEE International Conference on Communications, pp. 1–5, IEEE, 2009.
Abstract | Links | BibTeX | Tags: Multimedia
@inproceedings{nokey,
title = {Self-actuation of camera sensors for redundant data elimination in wireless multimedia sensor networks},
author = {Andrew Newell and Kemal Akkaya},
url = {https://ieeexplore.ieee.org/abstract/document/5199448/},
year = {2009},
date = {2009-06-14},
booktitle = {2009 IEEE International Conference on Communications},
pages = {1–5},
publisher = {IEEE},
school = {Florida International University},
abstract = {With the increasing interest in the deployment of wireless multimedia sensor networks (WMSNs), new challenges arouse with effective use of camera sensors to provide maximized event coverage with the least amount of redundancy in the collected multimedia data. Given that the processing and transmission of multimedia data are costly in terms of energy, camera sensors should only be actuated when an event is detected within their vicinity. While achieving maximum coverage with such actuation is desirable, multiple camera sensors' field-of- view (FoV) can be covering the same spots and thus redundant multimedia data can unnecessarily be sent to the base-station. In this paper, assuming camera sensors with fixed orientation, we propose a low-cost distributed actuation scheme which strives to turn on the least number of camera sensors to avoid possible redundancy in the multimedia data while still},
keywords = {Multimedia},
pubstate = {published},
tppubtype = {inproceedings}
}
With the increasing interest in the deployment of wireless multimedia sensor networks (WMSNs), new challenges arouse with effective use of camera sensors to provide maximized event coverage with the least amount of redundancy in the collected multimedia data. Given that the processing and transmission of multimedia data are costly in terms of energy, camera sensors should only be actuated when an event is detected within their vicinity. While achieving maximum coverage with such actuation is desirable, multiple camera sensors' field-of- view (FoV) can be covering the same spots and thus redundant multimedia data can unnecessarily be sent to the base-station. In this paper, assuming camera sensors with fixed orientation, we propose a low-cost distributed actuation scheme which strives to turn on the least number of camera sensors to avoid possible redundancy in the multimedia data while still
13.
Andrew Newell, Kemal Akkaya
Self-actuation of Cameras for Redundant Data Elimination in Wireless Multimedia Sensor Networks Journal Article
In: the Proceedings of International Conference on Communications (ICC’09), 2009.
Abstract | Links | BibTeX | Tags: Multimedia
@article{nokey,
title = {Self-actuation of Cameras for Redundant Data Elimination in Wireless Multimedia Sensor Networks},
author = {Andrew Newell and Kemal Akkaya},
url = {https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=c3fe31a58b0f215e94df2e6b2d5a96046ddd4b78},
year = {2009},
date = {2009-00-00},
journal = {the Proceedings of International Conference on Communications (ICC’09)},
school = {Florida International University},
abstract = {With the increasing interest in the deployment of wireless multimedia sensor networks (WMSNs), new challenges arouse with effective use of camera sensors to provide maximized event coverage with the least amount of redundancy in the collected multimedia data. Given that the processing and transmission of multimedia data are costly in terms of energy, camera sensors should only be actuated when an event is detected within their vicinity. While achieving maximum coverage with such actuation is desirable, multiple camera sensors field-ofview (FoV) can be covering the same spots and thus redundant multimedia data can unnecessarily be sent to the base-station. In this paper, assuming camera sensors with fixed orientation, we propose a low-cost distributed actuation scheme which strives to turn on the least number of camera sensors to avoid possible redundancy in the multimedia data while still providing the necessary event coverage. The basic idea of this distributed scheme is the collaboration of camera sensors that have heard from scalar sensors about an occurring event in order to minimize the possible coverage overlaps among their FoVs. The scheme requires only 1-hop information for camera sensors and its messaging overhead is negligible. Through simulation, we show how the distributed scheme performs with respect to the cases when all the cameras within the vicinity or the region are actuated and assess the performance under various conditions.},
keywords = {Multimedia},
pubstate = {published},
tppubtype = {article}
}
With the increasing interest in the deployment of wireless multimedia sensor networks (WMSNs), new challenges arouse with effective use of camera sensors to provide maximized event coverage with the least amount of redundancy in the collected multimedia data. Given that the processing and transmission of multimedia data are costly in terms of energy, camera sensors should only be actuated when an event is detected within their vicinity. While achieving maximum coverage with such actuation is desirable, multiple camera sensors field-ofview (FoV) can be covering the same spots and thus redundant multimedia data can unnecessarily be sent to the base-station. In this paper, assuming camera sensors with fixed orientation, we propose a low-cost distributed actuation scheme which strives to turn on the least number of camera sensors to avoid possible redundancy in the multimedia data while still providing the necessary event coverage. The basic idea of this distributed scheme is the collaboration of camera sensors that have heard from scalar sensors about an occurring event in order to minimize the possible coverage overlaps among their FoVs. The scheme requires only 1-hop information for camera sensors and its messaging overhead is negligible. Through simulation, we show how the distributed scheme performs with respect to the cases when all the cameras within the vicinity or the region are actuated and assess the performance under various conditions.
Citations: 18671
h-index: 54
i10-index: 162