Optimal Estimation with Extended Battery Life in Wireless Sensor Networks
Yang Liu, Hongbin Zhu, Haifeng Wang, Kai Kang, Hua Lin Qian · 2018
Energy constraint is always a bottleneck in a distributed wireless sensor network (WSN). Online censoring is an effective approach to reduce the overall power consumption by only transmitting statistical informative data. However, individual sensor may still suffer from energy shortage due to frequent transmission of informative data or geographical long distance transmission. In this paper, we consider the parameters estimation problem in WSNs, where the goal is to minimize the estimation error while keeping the network lifetime long. A distributed censoring algorithm is developed, which allows sensor nodes to make autonomous decisions on whether to transmit the sampled data. We show that with the proposed algorithm, the network lifetime extends and approaches to its theoretical limit, and the performance loss in terms of the estimation error is minimal. Simulation results validate its effectiveness.