Optimal energy allocation for detection in wirless sensor networks
The problem of binary hypothesis testing in a wireless sensor network is studies in the presence of noisy channels and for non-identical sensors. We have devised an energy allocation scheme for individual sensors in order to optimize a cost function with a constraint on the total network energy. Two cost functions were considered; the probability of error and the J-divergence distance measure. We have also designed a mathematically tractable fusion rule for which optimal energy allocation can be achieved. Results of optimal energy allocation and the resulting probability of error are presented for different sensor network configurations.
Publication Source (Journal or Book title)
WINSYS 2007 - International Conference on Wireless Information Networks and Systems, Proceedings
Gunturu, K., & Naraghi-Pour, M. (2007). Optimal energy allocation for detection in wirless sensor networks. WINSYS 2007 - International Conference on Wireless Information Networks and Systems, Proceedings, 17-21. Retrieved from https://digitalcommons.lsu.edu/eecs_pubs/1052