Abstract

Wireless sensor networks (WSNs) is associated with a new exemplification of a real-time embedded system used for various applications that make the traditional infrastructure-based network seem infeasible. Due to imbalanced energy consumption among nodes, WSN has challenges with better utilization of energy and system enhancement. Clustering has been a better approach in this sequence. Therefore, this paper will utilize a fuzzy logic-based clustering protocol (unequal clustering) with multi-hop transmission for load balancing, energy consumption minimization, and network lifetime prolongation. The protocol forms unequal clusters with cluster head (CH) being selected by fuzzy logic with competition radius. Node distance to the base station, concentration, and residual energy are input variables. The simulation and results section displays the outperformance of the proposed protocol, where the low-energy adaptive clustering hierarchy (LEACH), energy-aware multi-hop multi-path hierarchical (EAMMH), energy-aware unequal clustering fuzzy (EAUCF), and two-tier distributed fuzzy logic-based protocol (TTDFP) for efficient data aggregation in multi-hop wireless sensor networks algorithms.

Highlights

  • Due to their wide usage in various applications such as disaster management, health, and home applications, wireless sensor networks (WSNs) have amassed a lot of attention

  • To reduce cluster head (CH)’s rapid battery drainage, we propose an unequal clustering scheme where the radius of a CH varies depending on their distance from BS. i.e., if the cluster is near the base station, the cluster size will be small, and if the cluster is far from the BS, the cluster size will be large

  • The results show the suggested algorithm performs greater than energy-aware unequal clustering fuzzy (EAUCF), low-energy adaptive clustering hierarchy (LEACH), energy-aware multi-hop multi-path hierarchical (EAMMH), tier distributed fuzzy logic-based protocol (TTDFP) Tier-1 algorithms in both scenarios

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Summary

Introduction

Due to their wide usage in various applications such as disaster management, health, and home applications, wireless sensor networks (WSNs) have amassed a lot of attention. Developments such as micro-electrical-mechanical, wireless communication, and digital systems have allowed the use of miniaturized wireless sensors. A WSN consists of several miniature detector nodes. During sensing, processing, and transmitting the collected data, the sensor nodes exhaust a lot of energy. These nodes are supplied with a low-powered battery that is unique but rechargeable. One of the finest ways to decrease energy consumption by the network is grouping the sensor nodes in a certain characteristic that

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