Ant colony optimization technique for finding energy efficient path in WSN

Wireless sensor network

The routing protocol play a very important role in calculating, choosing and selecting the relevant path for transferring the data from the source to the destination efficiently. There are already many accepted routing algorithms used to find the shortest path and also to increase the throughput of the network. In this paper, I will explain the algorithm for selecting the shortest. The goal of every network routing algorithm is to direct traffic from source to the destination maximizing the network performance. The performance measure that is usually taken into account is the throughput (bits delivered per time unit) and number of packets successfully reaching the destination. However, in my implementation I have taken the performance measure as shortest path for the no. of iterations. The optimal solution for choosing the best shortest path is to select the one with the smallest total cost. In this paper an energy efficient path in the WSNs using a method which is based on Ant Colony Optimization (ACO) algorithms, aiming to minimize the consumption of power, increase the length of the network lifetime. Here routing protocol based on Ant Colony Optimization, where ability of Ants to select the shortest path among few possible paths connecting their nest to a food site is used for routing. The goal is to prolong the network lifetime as well as to find the best path from the source node to the sink node based on Ant Colony Optimization (ACO).

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.