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A social aware routing protocol with multi-social features in opportunistic mobile social networks

  • School of Electronics and Information Engineering, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

With the widespread popularity and usage of ICT around the world, the ubiquity of data collection and transmission change our daily life and the society. Opportunistic Mobile Social Networks (OMSNs), formed by people moving around with mobile devices, enhance spontaneous communication among users that opportunistically encounter each other can be exploited to improve the performance of data forwarding. Existing protocols take advantage of spatial contact frequency and social characteristics to enhance transmission performance. However, they have not exploited enough of the relations and the effects between geographical information, social features and user interests. In this paper, we first evaluate these three characteristics of users and design a routing protocol call Geo-Social-Interest (GSI) protocol to select optimal relay nodes. We adopt Improved Optimal Routing (IOR) strategy to enhanced dynamic social features to more capture node’s social behavior to efficiently improve the routing protocol. We compare the performance of GSI to Epidemic and SimBet routing protocols using real INFOCOM06 data sets. The experiment results demonstrate that GSI overcomes the other protocols with highest data delivery ratio and low communication overhead.

Original languageEnglish
Title of host publicationCommunications, Signal Processing, and Systems - Proceedings of the 2017 International Conference on Communications, Signal Processing, and Systems
EditorsQilian Liang, Min Jia, Jiasong Mu, Wei Wang, Xuhong Feng, Baoju Zhang
PublisherSpringer Verlag
Pages353-360
Number of pages8
ISBN (Print)9789811065705
DOIs
StatePublished - 2019
Externally publishedYes
Event6th International Conference on Communications, Signal Processing, and Systems, CSPS 2017 - Harbin, China
Duration: 14 Jul 201716 Jul 2017

Publication series

NameLecture Notes in Electrical Engineering
Volume463
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference6th International Conference on Communications, Signal Processing, and Systems, CSPS 2017
Country/TerritoryChina
CityHarbin
Period14/07/1716/07/17

Keywords

  • Geo-information
  • Interest
  • Opportunistic mobile social networks
  • Routing
  • Social aware

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