Abstract

Reducing the energy consumption of available resources is still a problem to be solved in Wireless Sensor Networks (WSNs). Many types of existing routing protocols are developed to save power consumption. In these protocols, cluster-based routing protocols are found to be more energy efficient. A cluster head is selected to aggregate the data received from root nodes and forwards these data to the base station in cluster-based routing. The selection of cluster heads should be efficient to save energy. In our proposed protocol, we use static clustering for the efficient selection of cluster heads. The proposed routing protocol works efficiently in large as well as small areas. For an optimal number of cluster head selection we divide a large sensor field into rectangular clusters. Then these rectangular clusters are further grouped into zones for efficient communication between cluster heads and a base station. We perform MATLAB simulations to observe the network stability, throughput, energy consumption, network lifetime and the number of cluster heads. Our proposed routing protocol outperforms in large areas in comparison with the LEACH, MH-LEACH, and SEP routing protocols.

Highlights

  • In recent years, researchers have been attracted by Wireless Sensor Networks (WSNs) due to their potential use in a wide variety of applications

  • In order to overcome the drawbacks of Low Energy Adaptive Clustering Hierarchy (LEACH), LEACH-C, MH-LEACH, and Stable Election Protocol (SEP); we proposed a new routing protocol AZR-LEACH which is discussed in section

  • The results show that the AZR-LEACH extends the network lifetime, increases the overall throughput, reduces the energy consumption, and optimizes the number of cluster heads

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Summary

Introduction

Researchers have been attracted by Wireless Sensor Networks (WSNs) due to their potential use in a wide variety of applications. A WSN contains different types of autonomous sensor nodes that are used to sense and transfer the data wirelessly to the Base Station (BS) or the receiver node. Routing is an issue for these sensor nodes where the resources are limited. These wireless sensor nodes have limited energy, processing capabilities, and sensing abilities. The implant and wearable sensors connected with a human body send the data to the coordinator node, which transfer these data towards the communication tier 2 devices. The sensed information and aggregated data delivery is necessary for efficient communication between sensor nodes

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