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Characterizing the traffic load distribution in dense wireless sensor networks
Department of Electronics, Telecommunications Norwegian University of Science and Technology, Trondheim N-7491, Norway.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
Department of Electronics, Telecommunications Norwegian University of Science and Technology, Trondheim N-7491, Norway.
2011 (English)In: Journal of Networks, ISSN 1796-2056, E-ISSN 1796-2056, Vol. 6, no 2, 173-180 p.Article in journal (Refereed) Published
Abstract [en]

Traffic load is typically not evenly distributed over the sensor nodes in a wireless sensor network (WSN). Understanding the traffic load distribution can guide the network-wide energy allocation, the design of routing algorithms, and the optimization of the node deployment in WSNs. This article considers a dense WSN with nodes uniformly distributed in a disk sensing area, where the expected traffic load distribution over the sensor nodes as a function of their distance from the sink has been derived. Further, the effects of the network scale and routing strategy on traffic load distribution are also investigated. The expected traffic loads beared by individual sensor nodes are found to be in direct proportion to the radius of the network and inversively proportional to the routing hop length but it is independent of the network density. In addition, a heuristic multipath routing algorithm is found to be capable of reducing the traffic load variance experienced by neighboring or symmetrically deployed sensor nodes. The results presented in this article are verified through extensive simulation experiments. © 2011 ACADEMY PUBLISHER.

Place, publisher, year, edition, pages
2011. Vol. 6, no 2, 173-180 p.
Keyword [en]
Traffic load distribution, Wireless sensor network, Energy allocations, Extensive simulations, Multipath routing algorithms, Network density, Network scale, Node deployment, Routing strategies, Sensing areas, Traffic loads, Wireless sensor, Routing algorithms, Sensor nodes, Sensors, Telecommunication equipment, Wireless networks, Wireless sensor networks
National Category
Information Science
Identifiers
URN: urn:nbn:se:miun:diva-14217DOI: 10.4304/jnw.6.2.173-180Scopus ID: 2-s2.0-79951802133Local ID: STCOAI: oai:DiVA.org:miun-14217DiVA: diva2:431450
Available from: 2011-07-19 Created: 2011-07-19 Last updated: 2016-10-27Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf