Impact of Mobility on Convergence Rate in a Wireless Sensor Network

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This paper shows that introducing mobility increases the rate of convergence in partially connected and disconnected wireless sensor networks (WSN).

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4 p.

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Norouzi Kandalan, Roya; Singh, Ramanpreet; Namuduri, Kamesh; Varanasi, Murali R. & Buckles, Bill March 22, 2017.

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This paper shows that introducing mobility increases the rate of convergence in partially connected and disconnected wireless sensor networks (WSN).

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4 p.

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Abstract: Consensus building in wireless sensor networks (WSN's) has been studied extensively over a number of years. However, the role of mobile nodes in a network has not been fully explored. This paper shows that introducing mobility increases the rate of convergence in partially connected and disconnected WSN. It also shows that selection of mobile nodes influences the rate of convergence. The mobile node selection scheme presented here takes advantage of the fact that some nodes are more “central” and “critical” than others and selecting them as mobile nodes can help reach consensus faster. By representing WSN as an undirected graph and analyzing various properties of the nodes, including centrality and position, a simple and effective strategy to select mobile nodes has been presented. Simulation results verify that introducing mobility coupled with an appropriate selection of mobile nodes leads to faster convergence.

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  • 51st Annual Conference on Information Sciences and Systems (CIS), March 22-24, 2017. Baltimore, Maryland.

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  • Publication Title: 2017 51st Annual Conference on Information Sciences and Systems (CISS)
  • Peer Reviewed: Yes

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  • March 22, 2017

Added to The UNT Digital Library

  • Feb. 1, 2018, 6:37 p.m.

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Norouzi Kandalan, Roya; Singh, Ramanpreet; Namuduri, Kamesh; Varanasi, Murali R. & Buckles, Bill. Impact of Mobility on Convergence Rate in a Wireless Sensor Network, paper, March 22, 2017; Baltimore, Maryland. (digital.library.unt.edu/ark:/67531/metadc1065429/: accessed May 26, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Engineering.