Presentation 2007-10-31
Proposal and Evaluation of a Bio-inspired Adaptive Communication Protocol for Sensor Networks
Mirai WAKABAYASHI, Harumasa TADA, Naoki WAKAMIYA, Masayuki MURATA, Makoto IMASE,
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Abstract(in English) Recently, wireless sensor networks (WSNs) have attracted attentions of many researchers for their wide range of applications, such as natural environmental monitoring, environmental control in office buildings, and precision agriculture. Control mechanisms for WSNs should adapt to the variety of types of communication, i.e., one-to-one, one-to-many, many-to-one, and many-to-many, depending on application requirements and the context. In this paper, being inspired by foraging behavior of ants, we propose a novel communication protocol, which is adaptive to application requirements, robust to node failures, and scalable to network size.
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Keyword(in English) Wireless Sensor Networks / Data-centric / Rendezvous-based Approach / Ant Routing
Paper # USN2007-52
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Conference Date 2007/10/23(1days)
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Registration To Ubiquitous and Sensor Networks(USN)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Proposal and Evaluation of a Bio-inspired Adaptive Communication Protocol for Sensor Networks
Sub Title (in English)
Keyword(1) Wireless Sensor Networks
Keyword(2) Data-centric
Keyword(3) Rendezvous-based Approach
Keyword(4) Ant Routing
1st Author's Name Mirai WAKABAYASHI
1st Author's Affiliation Graduate School of Information Science and Technology, Osaka University()
2nd Author's Name Harumasa TADA
2nd Author's Affiliation Faculty of Education, Kyoto University of Education
3rd Author's Name Naoki WAKAMIYA
3rd Author's Affiliation Graduate School of Information Science and Technology, Osaka University
4th Author's Name Masayuki MURATA
4th Author's Affiliation Graduate School of Information Science and Technology, Osaka University
5th Author's Name Makoto IMASE
5th Author's Affiliation Graduate School of Information Science and Technology, Osaka University
Date 2007-10-31
Paper # USN2007-52
Volume (vol) vol.107
Number (no) 294
Page pp.pp.-
#Pages 6
Date of Issue