Multi-objective Sand Piper Optimization Based Clustering with Multihop Routing Technique for IoT Assisted WSN

Abstract

Abstract Internet of Things (IoT) can be considered as one of the emergent research topics, which linked several sensor enabled devices. Wireless sensor networks (WSNs) remains a key enabling technology for IoT environment due to their possibility in placing different types of essential smart city applications, like healthcare, smart cities, environment monitoring, etc. At the same time, effectual utilization of energy is required for the design of energy-efficient data transmission strategy in the IoT environment. In this view, this study develops a novel multi-objective sand piper optimization based clustering with multi-hop routing (MOSPO-CMR) technique to IoT assisted WSN. The proposed MOSPO-CMR technique intends to effectively choose cluster heads (CHs) and derive optimal routes to BS. The MOSPO-CMR technique initially performs cluster construction process by the election of CHs using three variables namely Residual energy (RES), distance to BS (DIST), and Node Degree (NDEG). Besides, the MOSPO-CMR technique derives an objective function involving two variables such as RES and DIST to determine optimal routes to destination. In order to demonstrate the enhanced outcomes of the MOSPO-CMR approach, a series of simulations were carried out and the outcomes highlighted the enhanced outcomes of the MOSPO-CMR technique over the other recent approaches.

Keywords

• Internet of Things
• WSN
• Clustering
• Routing
• Multi-objective optimization
• Metaheuristic