Social-aware data dissemination in opportunistic mobile social networks

被引：8
作者：
Yang, Yibo [1 ]
Zhao, Honglin [1 ]
Ma, Jinlong [2 ]
Han, Xiaowei [3 ]
机构：
[1] Harbin Inst Technol, Sch Elect & Informat Engn, Harbin 150001, Heilongjiang, Peoples R China
[2] Hebei Univ Sci & Technol, Sch Informat Sci & Engn, Shijiazhuang 050018, Hebei, Peoples R China
[3] Harbin Univ Commerce, Sch Comp & Informat Engn, Harbin 150076, Heilongjiang, Peoples R China
来源：
INTERNATIONAL JOURNAL OF MODERN PHYSICS C | 2017年 / 28卷 / 09期
关键词：
Mobile social networks; routing; interest; geo-information; dynamic social aware; human mobility patterns; TOLERANT; INTERNET; SCHEME; THINGS;
D O I：
10.1142/S0129183117501157
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Opportunistic Mobile Social Networks (OMSNs), formed by mobile users with social relationships and characteristics, enhance spontaneous communication among users that opportunistically encounter each other. Such networks can be exploited to improve the performance of data forwarding. Discovering optimal relay nodes is one of the important issues for efficient data propagation in OMSNs. Although traditional centrality definitions to identify the nodes features in network, they cannot identify effectively the influential nodes for data dissemination in OMSNs. Existing protocols take advantage of spatial contact frequency and social characteristics to enhance transmission performance. However, existing protocols have not fully exploited the benefits 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 called Geo-Social-Interest (GSI) protocol to select optimal relay nodes. We compare the performance of GSI using real INFOCOM06 data sets. The experiment results demonstrate that GSI overperforms the other protocols with highest data delivery ratio and low communication overhead.
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页数：16
相关论文
共 32 条
[1]   Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications [J].
Al-Fuqaha, Ala ;
Guizani, Mohsen ;
Mohammadi, Mehdi ;
Aledhari, Mohammed ;
Ayyash, Moussa .
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2015, 17 (04) :2347-2376
[2]   Spatial networks [J].
Barthelemy, Marc .
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS, 2011, 499 (1-3) :1-101
[3]   HCMM: Modelling spatial and temporal properties of human mobility driven by users' social relationships [J].
Boldrini, Chiara ;
Passarella, Andrea .
COMPUTER COMMUNICATIONS, 2010, 33 (09) :1056-1074
[4]   Cost-Effective Multiperiod Spraying for Routing in Delay-Tolerant Networks [J].
Bulut, Eyuphan ;
Wang, Zijian ;
Szymanski, Boleslaw Karol .
IEEE-ACM TRANSACTIONS ON NETWORKING, 2010, 18 (05) :1530-1543
[5]   Leveraging Social Networks for P2P Content-Based File Sharing in Disconnected MANETs [J].
Chen, Kang ;
Shen, Haiying ;
Zhang, Haibo .
IEEE TRANSACTIONS ON MOBILE COMPUTING, 2014, 13 (02) :235-249
[6]   Efficient Multicast Algorithms in Opportunistic Mobile Social Networks using Community and Social Features [J].
Chen, Xiao ;
Shang, Charles ;
Wong, Britney ;
Li, Wenzhong ;
Oh, Suho .
COMPUTER NETWORKS, 2016, 111 :71-81
[7]   Social Network Analysis for Information Flow in Disconnected Delay-Tolerant MANETs [J].
Daly, Elizabeth M. ;
Haahr, Mads .
IEEE TRANSACTIONS ON MOBILE COMPUTING, 2009, 8 (05) :606-621
[8]   Efficient Energy Management for the Internet of Things in Smart Cities [J].
Ejaz, Waleed ;
Naeem, Muhammad ;
Shahid, Adnan ;
Anpalagan, Alagan ;
Jo, Minho .
IEEE COMMUNICATIONS MAGAZINE, 2017, 55 (01) :84-91
[9]   CrowdSenSim: a Simulation Platform for Mobile Crowdsensing in Realistic Urban Environments [J].
Fiandrino, Claudio ;
Capponi, Andrea ;
Cacciatore, Giuseppe ;
Kliazovich, Dzmitry ;
Sorger, Ulrich ;
Bouvry, Pascal ;
Kantarci, Burak ;
Granelli, Fabrizio ;
Giordano, Stefano .
IEEE ACCESS, 2017, 5 :3490-3503
[10]  
Filho S., 2015, SCI REP, V5, P9082
1234