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Traffic load analysis in large-scale and dense wireless sensor networks
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
2009 (English)In: The Sixth Swedish National Computer Networking Workshop and Ninth Scandinavian Workshop on Wireless Adhoc Networks, 2009Conference paper, Published paper (Refereed)
Abstract [en]

Traffic load is not evenly distributed over the nodes in a multi-hop wireless sensor network (WSN). Understanding the traffic load distribution can guide the network-wide energy allocation, direct the design of routing algorithms, and optimize the node deployment in WSNs. In this paper, we find the traffic load distribution over the nodes as a function of their respective distance from the sink. Further, the ratio of the traffic loads experienced by two nodes at different locations is found to be independent of the underlying routing algorithm. The assumptions in this paper are that the network is large-scale and dense, and it is deployed in a disc area. However, the results achieved could also be used as approximations in more practical networks.

Place, publisher, year, edition, pages
2009.
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:miun:diva-8816OAI: oai:DiVA.org:miun-8816DiVA, id: diva2:212792
Projects
STC - Sensible Things that CommunicateAvailable from: 2009-04-23 Created: 2009-04-23 Last updated: 2018-01-13Bibliographically approved

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Wang, QinghuaZhang, Tingting

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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