Energy-Efficient Distributed Detection Via Multihop Transmission in Sensor Networks

We investigate three multihop fusion schemes for distributed detection in geographically dispersed sensor networks, multihop forwarding (MF) and Log-likelihood ratio Fusion (LF), which are different in the transmitted messages, fusion rules, and communication structure. Simulation results show that transmission energy is significantly reduced by multihop fusion schemes as compared to direct transmission, with LF outperforming the others. Moreover, it is shown that LF exhibits the most favorable energy scaling law with the network size among these schemes.

[1]  Rick S. Blum,et al.  The good, bad and ugly: distributed detection of a known signal in dependent Gaussian noise , 2000, IEEE Trans. Signal Process..

[2]  Alfred O. Hero,et al.  Hierarchical censoring for distributed detection in wireless sensor networks , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

[3]  Baltasar Beferull-Lozano,et al.  On network correlated data gathering , 2004, IEEE INFOCOM 2004.

[4]  John N. Tsitsiklis,et al.  Decentralized detection by a large number of sensors , 1988, Math. Control. Signals Syst..

[5]  Maurizio Longo,et al.  Quantization for decentralized hypothesis testing under communication constraints , 1990, IEEE Trans. Inf. Theory.

[6]  Kathryn Fraughnaugh,et al.  Introduction to graph theory , 1973, Mathematical Gazette.

[7]  Akbar M. Sayeed,et al.  Optimal Distributed Detection Strategies for Wireless Sensor Networks , 2004 .

[8]  Joseph E. Yukich Asymptotics for weighted minimal spanning trees on random points , 2000 .

[9]  T. Duman,et al.  Decentralized detection over multiple-access channels , 1998 .

[10]  John N. Tsitsiklis,et al.  Extremal properties of likelihood-ratio quantizers , 1993, IEEE Trans. Commun..

[11]  L. Tong,et al.  Asymptotic detection performance of type-based multiple access in sensor networks , 2005, IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, 2005..

[12]  Venugopal V. Veeravalli,et al.  Decentralized detection in sensor networks , 2003, IEEE Trans. Signal Process..

[13]  Panganamala Ramana Kumar,et al.  Toward a theory of in-network computation in wireless sensor networks , 2006, IEEE Communications Magazine.

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

[15]  Nils Sandell,et al.  Detection with Distributed Sensors , 1980, IEEE Transactions on Aerospace and Electronic Systems.