An Information-Centric Approach to Enhance Network Lifetime in Water Quality Monitoring WSNs

Author:

Abdolabadi Hamid1ORCID

Affiliation:

1. Shahid Chamran University of Ahvaz

Abstract

Abstract

In water quality monitoring networks, efficient sensor operation and network lifetime are crucial for timely and accurate data collection. Existing models often focus on minimizing overall network energy consumption and typically treat all sensors equally, making no distinction based on the information value of the data collected. This may lead to the unnecessary transmission of redundant data from low-value sensors. This research proposes a novel information-centric algorithm specifically designed for Wireless Sensor Networks (WSNs) deployed in such applications. The algorithm leverages information theory and Minimum Redundancy, Maximum Information (MIRI) principles to identify and prioritize data from sensors with high information value. The new algorithm integrates an energy-efficient consumption model with a strategic Cluster Heads selection approach. This approach prioritizes keeping sensors with high information content alive within clusters, further minimizing total energy consumption. By strategically selecting sensors and reducing redundant data collection, the proposed algorithm achieves a higher average residual energy compared to the existing model. This indicates more efficient energy utilization and potentially longer individual sensor lifetimes. These results demonstrate the effectiveness of the information value-centric approach in optimizing WSN performance. The algorithm extends network lifetime and paves the way for further exploration of information-centric techniques for enhancing WSN efficiency and longevity.

Publisher

Research Square Platform LLC

Reference64 articles.

1. Eutrophication Modeling using Variable Chlorophyll Approach;Abdolabadi H;Int J Environ Res,2016

2. Usage of mobile elements in internet of things environment for data aggregation in wireless sensor networks;Abdulsalam HM;Comput Electr Eng,2018

3. Adu-Manu KS, Katsriku FA, Abdulai J-D, Engmann F (2020) Smart river monitoring using wireless sensor networks. Wireless Communications and Mobile Computing 2020 1–19

4. Ahmedi F, Ahmedi L, O'Flynn B, Kurti A, Tahirsylaj S, Bytyçi E, Sejdiu B, Salihu A (2018) Inwatersense: An intelligent wireless sensor network for monitoring surface water quality to a river in kosovo. in Innovations and Trends in Environmental and Agricultural Informatics, edited, pp. 58–85. IGI Global

5. Routing in wireless sensor networks using optimization techniques: A survey;Al Aghbari Z;Wireless Pers Commun,2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3