Cross layer based biological inspired self-organized routing protocol for wireless sensor network

Currently, the field of wireless sensor networks (WSNs) is becoming increasingly important and a challenging research area. Advancements in sensor networks 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, nature based self-organized and independent mechanisms are required to tackle problems arising in WSN. The ant inspired routing has shown an excellent performance for WSNs. In this paper, a model of cross layer architecture based self-organized autonomous routing algorithm for WSN and its results are presented. Certain parameters like energy level, link quality and velocity are considered. Energy level and link quality metrics are trade in from physical layer to network layer for discovering an optimal route and also in initialization process. These decisions will come up with the optimal and organized route for WSN.