Adaptive learning routing algorithm of WSNs based autonomous decentralized system approach

This paper investigates the routing protocols for randomly distributed wireless sensor networks (WSNs). A learning algorithm is proposed for computing the path on routing, and only few information of adjacent nodes is necessary. By using the depth first search strategy, and remembering the historical experience of path on routing, we can find next node, which illustrates the advantage of combination of autonomous decentralized systems approach and distributed estimation learning algorithm. Simulation example provided to show the usefulness and advantage of the developed results.