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Community-based message transmission with energy efficient in opportunistic networks
Nanchang Hangkong Univ, Sch Informat Engn, Nanchang, Peoples R China..
Nanchang Hangkong Univ, Sch Informat Engn, Nanchang, Peoples R China..
Nanchang Hangkong Univ, Sch Informat Engn, Nanchang, Peoples R China..
Dalarna University, School of Technology and Business Studies, Information Systems. Dalarna Univ, Business Intelligence & Informat, Borlange, Sweden..ORCID iD: 0000-0003-3681-8173
2016 (English)In: Web Information Systems Engineering – WISE 2016: 17th International Conference, Shanghai, China, November 8-10, 2016, Proceedings, Part II, 2016, Vol. 10042, 411-423 p.Conference paper, (Refereed)
Abstract [en]

An Opportunistic Networks is a wireless self-organized network, in which there is no need to build a fixed connectivity between source node and destination node, and the communication depends on the opportunity of node meeting. There are some classical message transmission algorithms, such as PRoPHET, MaxProp, and so on. In the Opportunity Networks with community characteristic, the different message transmission strategies can be sued in inter-community and intra-community. It improves the message successful delivery ratio significantly. The classical algorithms are CMTS and CMOT. We propose an energy efficient message forwarding algorithm (EEMF) for community-based Opportunistic Networks in this paper. When a message is transmitted, we consider not only the community characteristic, but also the residual energy of each node. The simulation results show that the EEMF algorithm can improve the message successful delivery ratio and reduce the network overhead obviously, in comparison with classical routing algorithms, such as PRoPHET, MaxProp, CMTS and CMOT. Meanwhile the EEMF algorithm can reduce the node's energy consumption and prolong the lifetime of network.

Place, publisher, year, edition, pages
2016. Vol. 10042, 411-423 p.
Series
Lecture Notes in Computer Science, ISSN 1611-3349 ; 10042
Keyword [en]
Opportunistic networks, Message transmission, Community characteristic, Energy efficient
National Category
Information Systems
Research subject
Complex Systems – Microdata Analysis
Identifiers
URN: urn:nbn:se:du-24589DOI: 10.1007/978-3-319-48743-4_34ISI: 000389505500034ISBN: 978-3-319-48743-4 (print)OAI: oai:DiVA.org:du-24589DiVA: diva2:1082623
Conference
17th International Conference on Web Information Systems Engineering (WISE), NOV 08-10, 2016, Shanghai, PEOPLES R CHINA
Available from: 2017-03-17 Created: 2017-03-17 Last updated: 2017-03-31Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
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