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Copyright © 2022 Muhammad Amir Khan and Adnan Anwar Awan. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

WSNs have become one of the most widely used approaches in a range of applications, including agriculture, smoke detectors, health care, and factory monitoring. WSN provides a number of benefits, including low cost, compact size, multifunctionality, self-organization, and the ability to be routed via WSN protocols. WSN is being used in more practical applications than ever before. Nonetheless, one of the most critical problems is energy shortage. It limits WSN technology from being fully utilized. Sensors are typically powered by batteries, which have a short lifespan. Even if renewable energy sources (such as solar or piezoelectric devices) are used as additional energy in wireless sensor networks, there is still room for efficient energy consumption. In our research, we identify the shortcomings of the existing LEACH protocol, suggest a novel methodology that improves the LEACH protocol, and compare it to the basic LEACH approach. Our research aims to increase network lifespan by reducing energy consumption, primarily based on limitations of the LEACH and its related algorithms.

Details

Title
Intelligent on Demand Clustering Routing Protocol for Wireless Sensor Networks
Author
Muhammad Amir Khan 1   VIAFID ORCID Logo  ; Adnan Anwar Awan 2 

 Department of Computer Science, COMSATS University Islamabad Abbottabad Campus, 22060, Pakistan; Department Of Computer Science, IIC University Of Technology, Phnom Penh 121206, Cambodia 
 Department of Electrical and Computer Engineering, COMSATS University Islamabad Abbottabad Campus, 22060, Pakistan 
Editor
Muhammad Asghar Khan
Publication year
2022
Publication date
2022
Publisher
John Wiley & Sons, Inc.
e-ISSN
15308677
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2648814677
Copyright
Copyright © 2022 Muhammad Amir Khan and Adnan Anwar Awan. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.