(In this paper, the attributes of the network and the influencing factors to be considered by the routing algorithm are analyzed, and then the application of ant colony optimization algorithm in wireless sensor network routing is given. The routing method is easy to terminate, based on partial information, and expresses various influencing factors in the form of pheromone. The self-organization, dynamic and multipath characteristics of this routing method are more suitable for routing in wireless sensor networks.)
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