Energy Efficient Routing-Based Clustering Protocol Using Computational Intelligence Algorithms in Sensor-Based IoT

Mohammad Sedighimanesh,Mohammadsadegh Khayyatian,Hessam Zandhessami,Mahmood Alborzi

doi:10.52547/jist.9.33.55

Abstract

Background: The main limitation of wireless IoT sensor-based networks is their energy resource, which cannot be charged or replaced because, in most applications, these sensors are usually applied in places where they are not accessible or rechargeable. Objective: The present article's main objective is to assist in improving energy consumption in the sensor-based IoT network and thus increase the network’s lifetime. Cluster heads are used to send data to the base station. Methods: In the present paper, the type-1 fuzzy algorithm is employed to select cluster heads, and the type-2 fuzzy algorithm is used for routing between cluster heads to the base station. After selecting the cluster head using the type-1 fuzzy algorithm, the normal nodes become the members of the cluster heads and send their data to the cluster head, and then the cluster heads transfer the collected data to the main station through the path which has been determined by the type-2 fuzzy algorithm. Results: The proposed algorithm was implemented using MATLAB simulator and compared with LEACH, DEC, and DEEC protocols. The simulation results suggest that the proposed protocol among the mentioned algorithms increases the network’s lifetime in homogeneous and heterogeneous environments. Conclusion: Due to the energy limitation in sensor-based IoT networks and the impossibility of recharging the sensors in most applications, the use of computational intelligence techniques in the design and implementation of these algorithms considerably contributes to the reduction of energy consumption and ultimately the increase in network’s lifetime.

Highlights

The Internet of Things (IoT) is one of the technologies of the present era that bridges the gap between the physical and virtual worlds
The results indicate the efficiency of the proposed algorithm in energy consumption, network coverage, and the number of data packets sent to the base station
A clustering-based routing protocol using computational intelligence algorithms was proposed for wireless sensor-based IoT networks

Summary

Introduction

The Internet of Things (IoT) is one of the technologies of the present era that bridges the gap between the physical and virtual worlds. In the wireless sensor-based IoT network, numerous large-scale sensor nodes are deployed, which leads to an increase in complexity [1] These networks have an extensive range of applications such as disaster management, environmental monitoring, health care, identification and investigation of the subject of defense, etc. In these networks, after placing the sensors in the environment, all sensors collect data from the environment and process and transfer the data to the base station [2]. Conclusion: Due to the energy limitation in sensor-based IoT networks and the impossibility of recharging the sensors in most applications, the use of computational intelligence techniques in the design and implementation of these algorithms considerably contributes to the reduction of energy consumption and the increase in network’s lifetime

Objectives

Methods

Findings

Conclusion