An Adaptive ANT Algorithm for Wireless Mobile Sensor Network

In this article we study the performance of Multipath Dynamic Routing Algorithm (MDRA) in Wireless Mobile Sensor Networks (WMSNs), which is based on Swarm Intelligence (SI) or ANT Based Routing Algorithm. The WMSNs is a collection of Mobile nodes which communicate over radio. These kinds of networks are very flexible, thus they do not require any existing infrastructure or central administration. The WMSNs are suitable for temporary communication links. The biggest challenge for such kind of networks is to find a path between the communication end points, what is aggravated through the node mobility. Due to the unstable nature of WMSNs, memory based search algorithms become inefficient and impractical as the network mobility increases. The Adaptive ANT based routing algorithm exploits a dual-mode approach. Each node can independently operate in a local mode as well as in global mode using the information provided by ants. At the same time, the random disturbance is added to prevent premature convergence into local optimal path. The comparison simulations will show that memory based routing algorithms suffer from lack of accuracy while incurring extensive memory usage as well as valuable processing power and bandwidth costs in highly dynamic environments.