Distributed collaborative camera actuation for redundant data elimination in wireless multimedia sensor networks

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 performs in terms of coverage under several centralized and random deployment schemes. We also compare the performance with the case when all the cameras in the vicinity are actuated and when blockages in the region exist.

[1]  Ian F. Akyildiz,et al.  A survey on wireless multimedia sensor networks , 2007, Comput. Networks.

[2]  Deborah Estrin,et al.  Magic of Numbers in Networks of Wireless Image Sensors , 2006 .

[3]  R.L. Moses,et al.  Locating the nodes: cooperative localization in wireless sensor networks , 2005, IEEE Signal Processing Magazine.

[4]  Deborah Estrin,et al.  Cyclops: in situ image sensing and interpretation in wireless sensor networks , 2005, SenSys '05.

[5]  Wenjing Lou,et al.  Secure and Fault-Tolerant Event Boundary Detection in Wireless Sensor Networks , 2008, IEEE Transactions on Wireless Communications.

[6]  Ian F. Akyildiz,et al.  Cross-Layer Quality of Service Support for UWB Wireless Multimedia Sensor Networks , 2008, IEEE INFOCOM 2008 - The 27th Conference on Computer Communications.

[7]  Martin Vetterli,et al.  Proceedings of the 4th international symposium on Information processing in sensor networks , 2005 .

[8]  Kok-Keong Loo,et al.  Distributed video coding in wireless multimedia sensor network for multimedia broadcasting , 2008 .

[9]  W.J. Kaiser,et al.  Sensing uncertainty reduction using low complexity actuation , 2003, Third International Symposium on Information Processing in Sensor Networks, 2004. IPSN 2004.

[10]  Xiang Cao,et al.  Deploying Directional Sensor Networks with Guaranteed Connectivity and Coverage , 2008, 2008 5th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks.

[11]  Joseph O'Rourke.  Computational geometry column 15 , 1992, Int. J. Comput. Geom. Appl..

[12]  Prashant J. Shenoy,et al.  SensEye: a multi-tier camera sensor network , 2005, ACM Multimedia.

[13]  Wendi B. Heinzelman,et al.  Application-specific protocol architectures for wireless networks , 2000 .

[14]  Alhussein A. Abouzeid,et al.  Coverage by directional sensors in randomly deployed wireless sensor networks , 2006, J. Comb. Optim..

[15]  Wenye Wang,et al.  Self-orienting wireless multimedia sensor networks for occlusion-free viewpoints , 2008, Comput. Networks.

[16]  Murat Demirbas,et al.  The impact of data aggregation on the performance of wireless sensor networks , 2008 .

[17]  Roberto Manduchi,et al.  Characterizing energy consumption in a visual sensor network testbed , 2006, 2nd International Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities, 2006. TRIDENTCOM 2006..

[18]  Xiuzhen Cheng,et al.  Localized fault-tolerant event boundary detection in sensor networks , 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

[19]  S. Megerian,et al.  Cost Efficient Wireless Camera Sensor Deployment Strategy for Environment Monitoring Applications , 2008, 2008 IEEE Globecom Workshops.

[20]  Anthony Rowe,et al.  CMUcam3: An Open Programmable Embedded Vision Sensor , 2007 .

[21]  Sufen Fong,et al.  MeshEye: A Hybrid-Resolution Smart Camera Mote for Applications in Distributed Intelligent Surveillance , 2007, 2007 6th International Symposium on Information Processing in Sensor Networks.

[22]  Huang Lee,et al.  QoS-based geographic routing for event-driven image sensor networks , 2005, 2nd International Conference on Broadband Networks, 2005..

[23]  Ian F. Akyildiz,et al.  A Spatial Correlation Model for Visual Information in Wireless Multimedia Sensor Networks , 2009, IEEE Transactions on Multimedia.

[24]  S. Sitharama Iyengar,et al.  Grid Coverage for Surveillance and Target Location in Distributed Sensor Networks , 2002, IEEE Trans. Computers.

[25]  Wenjing Lou,et al.  Fault-tolerant Event Boundary Detection in Wireless Sensor Networks , 2006 .

[26]  Rainer Lienhart,et al.  Approximating Optimal Visual Sensor Placement , 2006, 2006 IEEE International Conference on Multimedia and Expo.

[27]  Miodrag Potkonjak,et al.  Optimal Worst-Case Coverage of Directional Field-of-View Sensor Networks , 2006, 2006 3rd Annual IEEE Communications Society on Sensor and Ad Hoc Communications and Networks.