A Secure and Optimal Path Hybrid Ant-Based Routing Protocol with Hope Count Minimization for Wireless Sensor Networks

Abstract

AbstractIn wireless sensor networks (WSNs), particular objectives are achieved by different routing protocols which are efficient for specific situations. But, some limitations are owned by WSN systems, and these are security threats or low data rates. So, the designing process of WSN routing protocols is difficult, and WSN network lifetime is effected by the factor of topology change. Wireless sensor networks (WSNs) routing protocols designing are having the key factors as easy maintenance, high reliability, and low cost. In this paper, a secure and optimal path hybrid ant-based routing protocol with hope count minimization for WSN is analyzed. An adaptive secure hybrid routing protocol is also analyzed in this paper which is based on bio-inspired mechanism that integrates ant colony optimization (ACO). Two optimal paths are selected in the scheme of minimum hop count in addition with route security. Each node balanced energy consumption, total energy consumption which is less and optimal routing path can be calculated by the proposed algorithm. Superiority is maintained by the proposed algorithm while searching the optimal path, network topology maintenance, and network load balancing. According to simulation result, a better performance is achieved by proposed routing protocol than other WSN routing algorithms.KeywordsRouting protocolWireless sensor networks (WSNs)Ant colony optimization (ACO)Minimum hop count scheme