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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/10875

Title: Locally communicative interaction framework for adaptively self-organizing mobile sensor networks
Authors: Tatara, Kazutaka
Lee, Geunho
Ono, Hiroaki
Chong, Nak Young
Keywords: swarm of robotic sensors
self-organizing network
locally communicative interaction
Issue Date: 2012-08
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Magazine name: 2012 IEEE International Conference on Automation Science and Engineering (CASE)
Start page: 1138
End page: 1143
DOI: 10.1109/CoASE.2012.6386399
Abstract: We address the adaptive self-organization problem for mobile robotic sensors creating wireless ad hoc networks while adapting to topological changes. Our challenge is placed on how to exploit locally communicative interactions with minimal conditions such as locality and implicit coordination. Each sensor node organizes and updates its partially-connected network through selecting specific neighboring nodes with higher connectivity. The effectiveness of the proposed framework is verified by extensive simulations and experiments with RFID sensor networks that contain mobile sensor nodes. The most notable features of our approach include self-organization, topological adaptation, and self-healing, enabling self-organization of mobile sensor networks in an efficient way.
Rights: This is the author's version of the work. Copyright (C) 2012 IEEE. 2012 IEEE International Conference on Automation Science and Engineering (CASE), 2012, 1138-1143. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
URI: http://hdl.handle.net/10119/10875
Material Type: author
Appears in Collections:b11-1. 会議発表論文・発表資料 (Conference Papers)

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