Suppr超能文献

存在自私行为时移动群智感知的数据收集

Data collection for mobile crowdsensing in the presence of selfishness.

作者信息

Liu Jieyan, Bic Lubomir, Gong Haigang, Zhan Siyu

机构信息

School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China.

Donald Bren School of Information and Computer Sciences, University of California, Irvine, USA.

出版信息

EURASIP J Wirel Commun Netw. 2016;2016:82. doi: 10.1186/s13638-016-0580-x. Epub 2016 Mar 15.

Abstract

Mobile crowdsensing is an emerging approach to data collection by exploiting the sensing abilities offered by smart phones and users' mobility. Data collection can be implemented by exploiting the forwarding opportunities given by the contacts between nodes. However, as cell phones are still resource constrained, most people are socially selfish so that they may not always cooperate with each other in data collection. In this paper, we propose a routing protocol, called Accept aNd Tolerate (ANT), which is tailored for data collection in a social environment with selfish individuals. ANT works by accepting and tolerating social selfishness as an unavoidable human characteristic. It makes relay selection based on nodes' contacts and their willingness to cooperate. The cooperative willingness of selfish nodes is measured rationally according to the reciprocity relationship between nodes and their resource constraints. Through assessing the worthiness of carrying and forwarding a packet, ANT proposes a buffer management scheme and makes forwarding decisions. Simulations based on real traces show that ANT achieves better performance under resource-constrained circumstances than other comparable approaches.

摘要

移动群智感知是一种通过利用智能手机提供的传感能力和用户的移动性来进行数据收集的新兴方法。数据收集可以通过利用节点之间接触所提供的转发机会来实现。然而,由于手机仍然资源受限,大多数人在社交方面是自私的,以至于他们在数据收集过程中可能并不总是相互合作。在本文中,我们提出了一种名为“接受与容忍”(ANT)的路由协议,它是专门为在存在自私个体的社交环境中进行数据收集而设计的。ANT通过将社交自私性作为一种不可避免的人类特征来接受和容忍来发挥作用。它基于节点的接触情况及其合作意愿进行中继选择。自私节点的合作意愿会根据节点之间的互惠关系及其资源约束进行合理衡量。通过评估携带和转发数据包的价值,ANT提出了一种缓冲区管理方案并做出转发决策。基于真实轨迹的模拟表明,在资源受限的情况下,ANT比其他类似方法具有更好的性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71b7/4791484/a94a0ba6d92b/13638_2016_580_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验