Pair-based sink relocation and route adjustment in mobile sink WSN integrated IoT

Abstract

In recent years, Wireless Sensor Network (WSN) have expanded as foundation infrastructure for Internet of Things (IoT). However, integrating WSN into IoT is a challenging task due to its poor network lifetime and high energy consumption. To address these shortcomings, our proposed work performs five sequential processes: Initially, we split the network region into multiple partitions using Quad Tree combined Binary Tree (QTcBT) partitioning algorithm. We carry out Weight based Cluster Head Selection (WCHS) method to select a cluster head in each partition. A novel Pair based Sink Relocation Scheme (PSRS) is proposed to relocate the sink node which effectually increases the network lifetime. We execute Destination Oriented Directed Acyclic Graph (DODAG) based route adjustment that adjusts route by considering three rules. Finally, we perform Type 2 Fuzzy based Adaptive MAC Scheduling (T2FAMS) that is handled by the cluster head. At last, we evaluate the performance of our proposed work in terms of metrics including Energy consumption, End to End delay, Network lifetime, Delivery success ratio and Number of nodes alive. From the evaluation, we conclude that our work reduces energy consumption up to 20% and improves network lifetime up to 30% compared to the existing QDVGDD and GR methods.