Biological inspired self-optimized routing algorithm for wireless sensor networks

At present, the field of wireless sensor networks (WSNs) is an important and challenging research area. Advancements in sensor networks enable a wide range of environmental monitoring and object tracking applications. Moreover, multihop routing in WSN is interrupt by new nodes constantly entering/leaving the system. Therefore, biologically inspired algorithms are reviewed and enhanced to tackle problems arise in WSN. Ant routing has shown an excellent performance for sensor networks. In this paper, the design and work on ant based autonomous routing method for wireless sensor network are presented. Certain parameters like energy level, link quality and velocity are considered while making the decision. These decisions will come up with the optimal route to forward data towards destination. The given bio-inspired self-optimized mechanism will maximize traffic throughput while reducing the end to end delay over the network.