Performance of a Collaborative Target Detection Scheme for Wireless Sensor Networks

A sensor network is an ad hoc network of a large number of sensor nodes, each equipped with embedded processor, memory, and a wireless transceiver. The collective resources of such a system of networked sensors can be used to perform powerful distributed target detection and monitoring operations over a wide area. Key concerns for designing such networks are the energy efficiency and scalability of its communication and signal processing tasks. In addition, spatial variations of noise characteristics and differences in signal sensitivities amongst the sensors lead to challenging problems for designing a reliable distributed detection scheme. This paper addresses these issues and presents a collaborative signal processing technique that reduces the amount of traffic in the network and also maintains a constant false alarm rate under varying noise powers and sensor sensitivities.

[1]  Leonidas J. Guibas,et al.  Lightweight sensing and communication protocols for target enumeration and aggregation , 2003, MobiHoc '03.

[2]  Takeo Kanade,et al.  Algorithms for cooperative multisensor surveillance , 2001, Proc. IEEE.

[3]  Nael B. Abu-Ghazaleh,et al.  Infrastructure tradeoffs for sensor networks , 2002, WSNA '02.

[4]  J. Klotz.  Small Sample Power and Efficiency for the One Sample Wilcoxon and Normal Scores Tests , 1963 .

[5]  Mani B. Srivastava,et al.  Simulating networks of wireless sensors , 2001, Proceeding of the 2001 Winter Simulation Conference (Cat. No.01CH37304).

[6]  J. L. Hodges,et al.  The Efficiency of Some Nonparametric Competitors of the t-Test , 1956 .

[7]  Saleem A. Kassam,et al.  A bibliography on nonparametric detection , 1980, IEEE Trans. Inf. Theory.

[8]  Rick S. Blum,et al.  Distributed detection with multiple sensors I. Advanced topics , 1997, Proc. IEEE.

[9]  H. V. Trees.  Detection, Estimation, And Modulation Theory , 2001 .

[10]  Deborah Estrin,et al.  Directed diffusion: a scalable and robust communication paradigm for sensor networks , 2000, MobiCom '00.

[11]  Feng Zhao,et al.  Information-driven dynamic sensor collaboration , 2002, IEEE Signal Process. Mag..

[12]  Feng Zhao,et al.  Collaborative signal and information processing in microsensor networks , 2002, IEEE Signal Processing Magazine.

[13]  Pramod K. Varshney,et al.  Distributed Detection and Data Fusion , 1996 .

[14]  Robert N. McDonough,et al.  Detection of signals in noise , 1971 .

[15]  Feng Zhao,et al.  Information-Driven Dynamic Sensor Collaboration for Tracking Applications , 2002 .

[16]  Pramod K. Varshney,et al.  Distributed detection with multiple sensors I. Fundamentals , 1997, Proc. IEEE.

[17]  Satish Kumar,et al.  Next century challenges: scalable coordination in sensor networks , 1999, MobiCom.