Energy‐aware intelligent hybrid routing protocol for wireless sensor networks

Abstract

Abstract Designing a wireless sensor network (WSN) energy‐aware routing protocol is a thought‐provoking mission. Thus, this article presents an energy‐saving routing protocol for WSNs. The proposed protocol considers the energy level of sensor nodes and the distance to the base station to optimally determine the best route. It also takes advantage of the inherent complementarity of clustering techniques. The proposed routing scheme also exploits data aggregation to improve energy utilization and reduce communication costs. To choose the flawless route between a source node and the base station, ant colony optimization and A* algorithms are integrated. Finally, the performance of the proposed routing technique is compared with those of other existing up‐to‐date protocols. The results show that the proposed routing protocol outperforms them in terms of total energy consumption, network lifetime, stability period, and goodput.