A Novel Approach using Parallel Ant Colony Optimization Algorithm for Detecting Routing Path based on Cluster Head in Wireless Sensor Network

More energy in wireless sensor network is spent in routing part as compare to other operation in sensor network. To route data in efficient manner detecting optimal path for routing is better solution. For time critical application, detection of optimal path should be faster enough to make the application efficient. This paper focus on detecting of optimal path by using parallel ant colony optimization algorithm. K-Mean clustering approach is used for grouping of sensor nodes because it is faster than other hierarchical clustering algorithm. Rotating the cluster head while implementing algorithm based on friss free space propagation model, increases the lifetime of the network. This proposed system is developed using Java. The results shows that proposed system detect the optimal path faster than existing system with better lifetime of the network.