A Layering Learning Routing Algorithm of WSNs Based on ADS approach

In this paper, we consider the the WSNs layering learning routing algorithm of random spread of the nodes. A node routing algorithm is given out by node hierarchical and learning method. When count path of routing by using this algorithm, only a little information between this point and its adjacent points is needed. By using depth-first search strategy and combining node route historical experience, choose a way searching the next node. It is clearly shown the superiority of combining both autonomous decentralized system method and estimation of distribution learning algorithm. A numerical example is given to illustrate that the WSNs algorithm is fast and efficient.