Ant Colony Optimization Based Routing in Wireless Sensor Networks

Wireless Sensor Networks consisting of nodes with limited power are deployed to gather useful information from the field. In WSNs it is critical to collect the information in an efficient manner. It is applied in routing and difficult power supply area or area that cannot be reached and some temporary situations, which do not need fixed network supporting and it can fast deploy with strong anti-damage. In order to avoid the problem we proposed a new technique called Bio-Inspired mechanism for routing.ACO is one of the Bio-inspired mechanism. ACO is a dynamic and reliable protocol. It provides energy-aware, data gathering routing structure in wireless sensor network. It can avoid network congestion and fast consumption of energy of individual node. Then it can prolong the life cycle of the whole network. ACO algorithm reduces the energy consumption. It optimizes the routing paths, providing an effective multi-path data transmission to obtain reliable communications in the case of node faults. The main goal is to maintain the maximum lifetime of network, during data transmission in a efficient manner. This paper defines implementation of WSN and comparison of its performance with AODV routing protocol based on ant algorithm is done in terms of packet delivery ratio, throughput and energy level. Performance of our algorithm in comparison of AODV is much better.