作者: R. Rajagopalan , C.K. Mohan , P. Varshney , K. Mehrotra
关键词:
摘要: An approach for data fusion in wireless sensor networks involves the use of mobile agents that selectively visit sensors and incrementally fuse data, thereby eliminating unnecessary transmission irrelevant or non-critical data. The order visited along route determines quality fused communication cost. We model agent routing problem as a multi-objective optimization problem, maximizing total detected signal energy while minimizing consumption path loss. Simulation results show this can be solved successfully using evolutionary algorithms such EMOCA NSGA-II. This also enables choosing between two alternative algorithms, to determine which one higher detection accuracy.