Impact of social-aware forwarding on traffic distribution in social opportunistic networks

B. Soelistijanto
{"title":"Impact of social-aware forwarding on traffic distribution in social opportunistic networks","authors":"B. Soelistijanto","doi":"10.1109/TENCONSPRING.2016.7519370","DOIUrl":null,"url":null,"abstract":"Social opportunistic networks (SONs) are delay-tolerant MANETs that exploit human mobility to enable message delivery in the networks. Humans tend to move in a way that is influenced by their social relations. Knowledge of social relationships therefore can be exploited to build social-aware routing protocols. These algorithms typically favour higher (social) ranking nodes as better relays for message transfers. The combination of this forwarding heuristic and the social network structure, which exhibits a non-uniform connectivity distribution with the existence of a few highly-connected nodes, leads the routing algorithm to direct most of the traffic through these hub nodes. Unbalanced traffic distribution therefore results in the network. This paper presents an analysis of traffic distribution in SONs when social-aware routing protocols are applied in the networks. Initially, we survey state-of-the-art social-aware routing protocols. We next investigate the topology characteristics of real-life SONs. Furthermore, we apply three forwarding strategies on these networks, categorising these strategies into social-aware forwarding and social-oblivious forwarding. The social-aware forwarding strategies consider node ranking when choosing traffic relays and the node ranking here is measured by degree and betweeness centralities. The social-oblivious forwarding, however, disregards node ranking on the forwarding decision and selects a relay node randomly. We show that the social-aware forwarding strategies result in very poor traffic distribution fairness, where a few (hub) nodes process a large fraction of the network traffic. Finally, we discuss the strategies for improving traffic distribution fairness in SONs.","PeriodicalId":166275,"journal":{"name":"2016 IEEE Region 10 Symposium (TENSYMP)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Region 10 Symposium (TENSYMP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TENCONSPRING.2016.7519370","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

Social opportunistic networks (SONs) are delay-tolerant MANETs that exploit human mobility to enable message delivery in the networks. Humans tend to move in a way that is influenced by their social relations. Knowledge of social relationships therefore can be exploited to build social-aware routing protocols. These algorithms typically favour higher (social) ranking nodes as better relays for message transfers. The combination of this forwarding heuristic and the social network structure, which exhibits a non-uniform connectivity distribution with the existence of a few highly-connected nodes, leads the routing algorithm to direct most of the traffic through these hub nodes. Unbalanced traffic distribution therefore results in the network. This paper presents an analysis of traffic distribution in SONs when social-aware routing protocols are applied in the networks. Initially, we survey state-of-the-art social-aware routing protocols. We next investigate the topology characteristics of real-life SONs. Furthermore, we apply three forwarding strategies on these networks, categorising these strategies into social-aware forwarding and social-oblivious forwarding. The social-aware forwarding strategies consider node ranking when choosing traffic relays and the node ranking here is measured by degree and betweeness centralities. The social-oblivious forwarding, however, disregards node ranking on the forwarding decision and selects a relay node randomly. We show that the social-aware forwarding strategies result in very poor traffic distribution fairness, where a few (hub) nodes process a large fraction of the network traffic. Finally, we discuss the strategies for improving traffic distribution fairness in SONs.
社会机会主义网络中社会意识转发对流量分布的影响
社会机会网络(son)是一种可容忍延迟的manet,它利用人类的移动性来实现网络中的信息传递。人类倾向于以一种受社会关系影响的方式行动。因此,可以利用社会关系知识来构建具有社会意识的路由协议。这些算法通常倾向于将排名较高(社会)的节点作为消息传输的更好中继。这种转发启发式算法与社会网络结构相结合,使得路由算法将大部分流量引导到这些集线器节点上,而社会网络结构呈现出非均匀的连接分布和少数高连接节点的存在。因此,网络中的流量分布不均衡。本文分析了社会感知路由协议在网络中的应用对网络流量分布的影响。首先,我们调查了最先进的社会感知路由协议。接下来,我们将研究现实生活中son的拓扑特征。此外,我们在这些网络上应用了三种转发策略,将这些策略分为社会意识转发和社会无意识转发。社会感知转发策略在选择流量中继时考虑节点排名,节点排名用度中心性和中间中心性来衡量。而社会无关转发不考虑节点对转发决策的排序,随机选择中继节点。我们表明,社会感知转发策略导致非常差的流量分配公平性,其中少数(集线器)节点处理很大一部分网络流量。最后,讨论了提高交通分配公平性的策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信