Path Selection with Nature Inspired Algorithm in Wireless Sensor Networks

Abstract

Wireless Sensor Networks consists of autonomous nodes which are capable of sensing the data and communicating to the data center. Now a day we cannot imagine without communication. Reliable and fastest data transmission is always a challenge in a network which is in dynamic in nature. There are many Machine Learning, Neural Networks approaches were used in the networks for better system and we introduced Nature inspired algorithm with WSN for a best path to the sink node with minimum of energy utilization to improve the network framework. Along with the path, transmission reliability is also observed, which the most important key factor in the communication is. The main motto behind the path selection with the proposed nature Inspired algorithm is to select the optimum path from the source node to the Cluster head and to the other cluster head till reaches the destination, data center. In which highest weight node is chosen as a cluster head to receive the data from the neighbors and transmits to the base station with minimum energy utilization.