Energy efficient routing in wireless sensor networks based on fuzzy ant colony optimization

Abstract

A Wireless Sensor Network (WSN) is a collection of sensor nodes that dynamically self-organizes themselves into a wireless network with- out the utilization of any pre-existing infrastructure. One of the major problems in WSNs is the energy consumption, whereby the energy will be caused to increase or reduce the network’s lifetime. In this paper, we propose an optimal routing protocol for WSN inspired by the foraging behavior of ants. The ants try to find existing paths between the source and base station. Furthermore, we have combined this behavior of ants with fuzzy logic in order for the ants to make the best decision. In other words, the fuzzy logic is applied to make the use of these paths optimal. Our algorithm uses the principles of the Fuzzy Ant Colony Optimization Routing (FACOR) to develop a suitable problem solution. The performance of our routing algorithm is evaluated by Network Simulation2 (NS2). The simulation results show that our algorithm optimizes the energy consumption amount, decrease the number of routing request packets and increase the network’s lifetime in comparison with the orig- inal AODV.