Energy-Efficient and QoS-Aware Cluster-Based Routing in Wireless Sensor Networks: A Hybrid Approach towards Optimal Cluster Head Selection

In Wireless sensor networks (WSNs), clustering is an important and effective technique for raising the life span of the network, which directly led to an improved routing method. This technique includes combination of sensor nodes (SNs) to clusters and selecting the suitable CHs for every cluster. Actually, CHs accumulates the data from related SNs in the cluster and after that, it transmits those combined data to BS. The drawbacks of the collection of suitable cluster head (CH). Yet, a lot of analysis is still going on for resolving these issues depending upon specific parameters. Here this paper establishes a novel cluster based routing model via choosing the optimal CH. For optimal CHS, this work exploits a novel approach called Lion Mutated WOA (LM-WOA) that combined the theories of WOA and LA.Here, an innovative multi-objective function is described based upon diverse constraints like: Distance, Delay, Energy, Cluster Density, Traffic rate, Throughput and QoS. After electing the optimum CH, the data is transmitted along the chosen optimal path that is selected via LM-WOA model. The effectiveness of the newly implemented approach is ultimately reflected through analysis.