Reliable community card system for detecting and isolating selfish vehicles in smart and connected communities‐based VDTN's

Author:

Rehman Ghani Ur1,Haq Muhammad Inam Ul1,Badshah Afzal2,Zubair Muhammad1,Daraz Amil3,AlQahtani Salman A.4,Alamri Atif M.5

Affiliation:

1. Department of Computer Science and Bioinformatics Khushal Khan Khattak University Karak Pakistan

2. Department of Computing Hamdard University, Islamabad Campus Islamabad Pakistan

3. School of Information Science and Engineering NingboTech University Ningbo China

4. Computer Engineering Department, College of Computer and Information Sciences King Saud University Riyadh Saudi Arabia

5. Software Engineering Department, College of Computer and Information Sciences King Saud University Riyadh Saudi Arabia

Abstract

AbstractSmart and connected communities (SCC) is a new area of the Internet of Things with the potential to improve people's lives. The goal of developing SCC for a community is to encourage people to focus on the present, consider the future, and reflect on the past. In SCC, nodes (vehicles) can use their mobility to collect data from interconnected devices and send it to a variety of delay‐tolerant applications. Vehicular delay tolerant networks are an ideal fit for such services. However, the problem is that the devices and nodes (vehicles), having limited resources, may become unwilling to cooperate due to their selfish behavior. This article presents a reliable community card system (RCCS) with two main parts: a reliable community and community‐based card tracking system (CBCTS). The reliable community contains all trustworthy vehicles with a certain level of community reputation determined by their honesty level. In CBCTS, every vehicle needs a community card to participate in the network and the neighboring vehicles act as monitoring vehicle. The evaluation results show that the proposed RCCS is quite effective, with detection time and packet delivery. Similarly, it causes minimal overhead and energy consumption compared to all other existing techniques.

Funder

King Saud University

Publisher

Wiley

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