Performance evolution of Modified LEACH for Heterogeneous WSN
Authors: Anurag Sharma, Deepa Vyas
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Abstract
WSN are one of the most rapidly developing information technologies and promise to have a variety of applications in Next Generation communication networks. The WSN has recently received much attention as they offer an advantage of monitoring several kinds of environment by sensing physical phenomenon. The network lifetime, scalability, and load balancing are important requirement for many sensor network applications. In this paper, we propose an energy efficient clustering algorithm for WSNs based on the LEACH algorithm. The proposed algorithm solves the extra data transmissions problem that can occurs in LEACH algorithm.
Introduction
Wireless Sensor Network is a combination of hundreds or numerous little scattered sensors to monitor an area which can be some physical thing or related to environment such as forests, animals, laboratory etc. These sensors work together and send data to one system for calculation to perform further operations. Every central node is connected to a single or a couple sensor. The sensor centre points are very small in size and are used for transmitting and receiving information. Sensor frameworks have a wide arrangement of employments and systems with incomprehensibly fluctuating necessities and qualities. The sensor systems can be utilized as a part of an unfathomable assortment of fields like military environment, catastrophe administration, living space observing, medicinal and social insurance, mechanical fields, home systems, distinguishing concoction, natural, radiological, atomic, and unstable material and so on. Structure and topology of WSN can differ from straightforward star system to a progressed multi-hop wireless mesh network. Power requirements, restricted equipment, diminished dependability, and a normally higher thickness and a number of disappointment hubs are few of the issues that must be considered
Copyright
Copyright © 2025 Anurag Sharma, Deepa Vyas. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.