Wireless Sensor Networks (WSNs) comprises a massive set of sensor nodes undergo random deployment in the target region to observe the physical parameters. The sensor nodes in WSN are constrained in energy, transmission power, storage, and computation abilities. Several studies ensured that the energy spent for data transmission is significantly higher than sensing and processing. Design of effective routing mechanism in WSN finds helpful to reduce the energy consumption in throughout the network. Several approaches are available with the objective of enabling energy efficient routing to maximize the network lifetime. In this work, heuristic techniques are used to enhance the routing in WSN. This paper presents an oppositional lion optimization algorithm (OLOA) based routing technique called OLOA-R to select the optimal routes based on energy consumption, residual energy, and distance between nodes. The proposed algorithm has been simulated and the simulation outcome shows the improved performance over the compared methods in a significant way.
Volume 12 | 05-Special Issue
Pages: 56-65
DOI: 10.5373/JARDCS/V12SP5/20201735