NDLI: Analysing social behaviour and message dissemination in human based delay tolerant network

Content Provider	Springer Nature Link
Author	Batabyal, Suvadip Bhaumik, Parama
Copyright Year	2014
Abstract	Recent advances in mobile communication shows proliferation in networks formed by human carried devices known as the pocket switched network (PSN). Human beings are social animals. They tend to form groups and communities, and have repetitive mobility pattern which can be used to disseminate information in PSNs. In this paper, we give a deeper insight to the nature of community formation and how such information can be used to help opportunistic forwarding in mobile opportunistic networks. Using real world mobility traces, we first derive the adjacency list for each node and form the contact graph. Using tools from social network analysis we then determine various node properties like centrality and clustering coefficient and graph properties like average path length and modularity. Based on the derived graph properties, node encounter process and nature of message dissemination in PSNs, we propose two social based routing, known as the contact based routing and community aware two-hop routing. We compare the proposed routing techniques with generic epidemic and prophet routing and Bubble-Rap, a social based routing. Results show that the proposed algorithms is able to achieve better delivery ratio and lower delay than Bubble Rap, while reducing the high overhead ratio of epidemic and prophet routing.
Starting Page	513
Ending Page	529
Page Count	17
File Format	PDF
ISSN	10220038
Journal	Wireless Networks
Volume Number	21
Issue Number	2
e-ISSN	15728196
Language	English
Publisher	Springer US
Publisher Date	2014-09-05
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Delay tolerant network Mobile opportunistic network Pocket switched network Social network analysis Communications Engineering, Networks Computer Communication Networks Electrical Engineering IT in Business
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Information Systems Electrical and Electronic Engineering

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