Abstract: “Wireless sensor networks (WSNs) is becoming a progressively important and a challenging research area. Advancements in WSN enable a wide range of environmental monitoring and object tracking applications. Moreover, multihop routing in WSN is affected by new nodes constantly entering or leaving the network. Therefore, the self-optimized and self-aware mechanism is required to handle the problems arise very frequently in WSNs. The ant colony optimization has shown excellent results in discovering routes for WSN. In this paper, the model of self-optimized multipath routing algorithm for WSN and its results are presented. Certain parameters like energy level, delay and velocity are considered. These decisions will come up with the optimal and organized route for WSN. In addition, the stated algorithm is enhanced with the multipath capability to avoid congestion state in WSN. Eventually, the enhanced feature helps WSN in maximizing the data throughput rate and minimizing the data loss”

Keywords: ant colony optimization, multipath, routing protocol, self-optimization, wireless sensor network