Efficient Energy Optimization Routing Protocol in Homogeneous Wireless Sensor Networks
Keywords:
Wireless Senor Network, Energy, MFO, MPA, LEACH, QLEACH, MOPSOAbstract
The emerging communication models, such as the Internet of Things (IoT) and local communication models based on Wireless Sensor Networks (WSN), are growing rapidly. The expansion and lifespan of WSNs enhance the capacity of these emerging communication models. Despite the extensive application of WSNs, several challenges, such as energy efficiency, load balancing, security, and storage, remain. Energy efficiency is considered a critical aspect of WSN design and can be achieved through clustering and multi-hop routing techniques using metaheuristic optimization algorithms. This paper proposes a metaheuristic-based, cluster-based routing technique for energy efficiency. The hybrid algorithm focuses on improving both energy efficiency and the lifespan of Wireless Sensor Networks (WSNs) through the clustering and routing process. For effective clustering, the hybrid model utilizes Moth Flame Optimization (MFO) and Marine Predators Algorithm (MPA), which employ a fitness function that incorporates factors such as intra-cluster distance, inter-cluster distance, energy, and load balancing. To select optimal routes within the WSN, the MPA algorithm designs a fitness function that includes parameters like residual energy and distance. The proposed model is experimentally validated through a series of simulations, and a comprehensive comparative study demonstrates its superior performance compared to other recent methods.
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