Routing by HDF based Optimal Path Selection in Multipath WSNs

Abstract

Multipath routing (MPR) is an effectual method for routing data on Wireless Sensor Networks (WSNs) since it offers security, reliability as well as load balancing (LB) that are particularly serious in the resource-constrained scheme like WSNs. This paper proposed a selecting optimal routing path in MPR using QoS for WSN. In the First phase, the network nodes are initialized. Next, the nodes are formed as a cluster which is known as cluster formation utilizing K-Medoid clustering algorithm. In the cluster formation, the cluster heads (CH) are chosen from each cluster using Grey wolf Optimization (GWO) algorithm. In the next stage, routing operation is performed, which is bifurcated into 2 sections as, multipath route selection, and optimal path selection (OPS). For multipath route selection, AOMDV protocol is used. Using this protocol, efficient multipath routes are chosen in the network. After several transmissions, a route might lose the quality of the link. So an optimal path is chosen from the existing routes in the network using Hybrid Dragon Fly (HDF) optimization. Performance metrics of the proposed work is compared with that of existing optimal path routings techniques. Results illustrate that our model exhibited better energy efficiency along with Network Lifetime when compared to the existing routing models