The Modelling of an Energy Efficient Algorithm Considering the Temperature Effect on the Lifetime of a Node in a Wireless Network

Author:

Vijarania Meenu1,Jaglan Vivek1,Mishra Brojo Kishore2ORCID

Affiliation:

1. Computer Science Engineering Department, Amity University - Haryana, India

2. Gandhi Institute of Engineering & Technology University, India

Abstract

In wireless ad-hoc networks the nodes may be placed in a remote area and with no fixed infrastructure. Wireless nodes have limited energy resources which act as a key factor to estimate the node lifetime. Most research is based on the power aware schemes, which takes advantage of the remaining energy of wireless nodes. Existing schemes estimate remaining energy based on only current consumption and voltage, leading to erroneous estimations that result in early power exhaustion of nodes that affects real world deployment, because the residual energy in real batteries is also affected by temperature, charge cycle, aging, self-discharge, and various other factors. A lifetime estimation model examines the battery characteristics to investigate their performance under varying operational conditions more precisely. In this article a lifetime estimation model is proposed, it takes into account the varying environmental temperatures effecting battery performance. An experimental approach is proposed to determine the actual capacity of ad-hoc nodes under varying temperatures.

Publisher

IGI Global

Subject

Computer Networks and Communications

Reference26 articles.

1. An Analytical Model for Lifetime Estimation of Wireless Sensor Networks

2. On the lifetime of wireless sensor networks

3. A dynamic lithium-ion battery model considering the effects of temperature and capacity fading

4. Gomathi, S. S., Krishnamurthi, S., & Chbeir, R. (2006). Design of Extended Optimal Energy Drain Rate Algorithm for Mobile Adhoc Network. Proceedings of 1st International Conference on Digital Information Management, Bangalore, India (Vol. 1, pp. 240-247). Academic Press.

5. Dynamic modeling and simulation of temperature and current effects on an electric vehicles Lithium Ion battery

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Heart Stroke Prediction Using Machine Learning Techniques;Practice, Progress, and Proficiency in Sustainability;2024-01-05

2. IoT and Big Data Security Issues and Challenges;Advances in Civil and Industrial Engineering;2023-11-24

3. Energy Efficient Load-Balancing Mechanism in Integrated IoT–Fog–Cloud Environment;Electronics;2023-06-05

4. A Review on Congestion Control Using Routing Technique and Machine Learning;Proceedings of the Third International Conference on Information Management and Machine Intelligence;2022-08-04

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