Multi-objective M-Lion optimization for energy proficient multi-path approach for scalable WSNs
摘要
Wireless Sensor Network (WSN) is a group of sensors having a base station (BS) for transferring data. Typically, the system has different routes with unstable SNs; consequently, power consumption is permanently high. This is the origin of the failure of QoS metrics in terms of delay, and unproductive throughput in WSNs. In WSNs, a multi-path routing has numerous routes to reach the destination. Subsequently, there are numerous routes in routing, so choosing the most efficient and shortest path for generating communication proficiently with the least energy utilization is essential. Therefore, a multi-route routing approach containing multi-path routing, to resolve optimum path selection, and a power depletion model to mark proficient energy utilization and lifetime of network in WSNs is required. This paper proposes an energy-proficient multipath approach (EPMA) for WSNs. EPMA approach finds the optimum route implementing a multi-objective modified lion (M-Lion) algorithm using the least energy depletion. The key aim of EPMA is to accomplish an effectual path amid manifold paths to fulfil quality necessities and improve throughput 10% to 12%, delay 15% to 16%, energy consumption 21% to 23%, loss ratio 13% to 15%, delivery ratio 17% to 19%, network lifetime 19% to 21%, and network overhead 14% to 16%. The proposed EPMA is implemented in MATLAB and the simulation outcomes show that the overall performance of EPMA is improved by 15% to 17%. As compared to the state-of-the-art.