R2S: Radio Resource Sharing for Wireless Network Reliability in Internet of Things

Author:

Lee Kisong1,Lee Howon2ORCID

Affiliation:

1. Department of Information and Telecommunication Engineering, Kunsan National University, Gunsan 573-701, Republic of Korea

2. Department of Electrical, Electronic and Control Engineering and IITC, Hankyong National University, Anseong, Gyeonggi 456-749, Republic of Korea

Abstract

Internet of Things is a system where people and things with unique identifiers are connected and able to interact with each other over a network without external intervention. To connect things anytime, network reliability is one of the main requirements for the Internet of Things, in which continuous service can be provided to nodes even in the event of a sudden network failure. To serve consistent quality of service for nodes in any case, we propose a radio resource sharing (R2S) method which consists of scheduling and power allocation using an optimization method. By evaluating performances with respect to average cell capacity and outage probability in simulations, we show that the R2S algorithm can solve a coverage hole problem efficiently in Internet of Things.

Funder

National Research Foundation of Korea

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Computer Science Applications

Cited by 7 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. Resource Sharing in the Internet of Things and Selfish Behaviors of the Agents;IEEE Transactions on Circuits and Systems II: Express Briefs;2021-12

2. Augmenting Self-Driving with Remote Control;Proceedings of the 19th International Workshop on Mobile Computing Systems & Applications;2018-02-12

3. Exploring Eye Adaptation in Head-Mounted Display for Energy Efficient Smartphone Virtual Reality;Proceedings of the 19th International Workshop on Mobile Computing Systems & Applications;2018-02-12

4. VisualCloud Demonstration;Proceedings of the 2017 ACM International Conference on Management of Data;2017-05-09

5. CloudHide;Proceedings of the on Thematic Workshops of ACM Multimedia 2017 - Thematic Workshops '17;2017

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