Reliable Wireless Sensor Network using Ant Colony Optimization (ACO)

Wireless sensor network is deployed in an unreachable place for humans. There are significant problems in WSN to transfer data from source node to destination node. Reliable data transfer is one of the most important aspects. Nodes that having low energy signal while transmitting the data to the neighbor node and if it does not reach the destination because of low energy then these nodes will consider as faulty nodes. There is a need for protocol or algorithm which can help to solve faulty node issues and provides high reliability. End to End reliability is essential to recognize the reliable,effective shortest path from source to destination nodes. Since nodes will not recognize the shortest paths time taken is more to transfer data from source node to destination node. The proposed research work utilizes Ant Colony Optimization(ACO) to check and identify the shortest path. The Shortest path will be identified by sending dummy data by using ACO. It will also help to check the effect of failed link and how it retrieves when there is a failure of link. With the help of ACO Fault tolerance can also be presented. With the help of this process data loss can be reduced and provide reliable transfer of data packets. To improve the lifetime of the network and to avoid data loss whole data will be converted into multiple packets. The parameters in the proposed work are transmission rate,data loss efficiency,energy level.