Distributed detection of an unknown target in clustered wireless sensor networks

We consider the problem of distributed detection in wireless sensor networks. The sensors are randomly deployed according to a Poisson point process. The received power of the signal emanating form an intruding target is assumed to follow the inverse power law. We propose the real-time counting rule (rt-CR) detector to endow the system with real-time detection delay capabilities. We show that the number of detecting sensor nodes, for any target type and any detector, follows a Poisson distribution. An exact expression for the average number of detecting sensor nodes is found. Simulation results support the accuracy of our theoretical prediction.

[1]  S. Shankar Sastry,et al.  Instrumenting wireless sensor networks for real-time surveillance , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

[2]  Maneesha V. Ramesh,et al.  Real-Time Wireless Sensor Network for Landslide Detection , 2009, 2009 Third International Conference on Sensor Technologies and Applications.

[3]  B. Achiriloaie,et al.  VI REFERENCES , 1961 .

[4]  Chee-Yee Chong,et al.  Sensor networks: evolution, opportunities, and challenges , 2003, Proc. IEEE.

[5]  Bruce H. Krogh,et al.  Energy-efficient surveillance system using wireless sensor networks , 2004, MobiSys '04.

[6]  Lang Tong,et al.  The interplay between signal processing and networking in sensor networks , 2006, IEEE Signal Processing Magazine.

[7]  Guoliang Xing,et al.  Performance Analysis of Real-Time Detection in Fusion-Based Sensor Networks , 2011, IEEE Transactions on Parallel and Distributed Systems.

[8]  Lui Sha,et al.  Dynamic clustering for acoustic target tracking in wireless sensor networks , 2003, IEEE Transactions on Mobile Computing.

[9]  Mohamed-Slim Alouini,et al.  On the Energy Detection of Unknown Signals Over Fading Channels , 2007, IEEE Transactions on Communications.

[10]  Pramod K. Varshney,et al.  Distributed Detection and Fusion in a Large Wireless Sensor Network of Random Size , 2005, EURASIP J. Wirel. Commun. Netw..

[11]  Ian F. Akyildiz,et al.  Sensor Networks , 2002, Encyclopedia of GIS.

[12]  Gang Zhou,et al.  Achieving Real-Time Target Tracking UsingWireless Sensor Networks , 2006, 12th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS'06).

[13]  Hubert B. Keller,et al.  Source localization by spatially distributed electronic noses for advection and diffusion , 2005, IEEE Transactions on Signal Processing.