Presentation 2009-10-23
Study on Layered Adaptation Control in Sensor-Overlay Networks
Naoki WAKAMIYA, Masayuki MURATA,
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Abstract(in English) Wireless sensor networks which constitute new generation information systems need to be highly adaptive to dynamic changes in operational environment, such as wireless communication quality, physical and logical network topology, and users' and applications' demand on communication. Adaptive behavior of control mechanisms implemented on different layers influences each other and such mutual interaction would lead to the instability and even failure of the system. Although so-called cross-layer network architecture and design allow different layers to share and exchange information and even control others to organize a system in a more integrated and cooperative manner, there is no basic design principle of inter-layer interaction. In this paper, aiming at building the fundamental design principle of layered control, we propose to express layered control mechanisms by using biological nonlinear model, i.e. attractor selection model, and show some examples of applications.
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Keyword(in English) layered network control / self-adaptation / cross-layer model / wireless sensor network
Paper # SR2009-71,AN2009-41,USN2009-44
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Conference Date 2009/10/15(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) Study on Layered Adaptation Control in Sensor-Overlay Networks
Sub Title (in English)
Keyword(1) layered network control
Keyword(2) self-adaptation
Keyword(3) cross-layer model
Keyword(4) wireless sensor network
1st Author's Name Naoki WAKAMIYA
1st Author's Affiliation Graduate School of Information Science and Technology, Osaka University()
2nd Author's Name Masayuki MURATA
2nd Author's Affiliation Graduate School of Information Science and Technology, Osaka University
Date 2009-10-23
Paper # SR2009-71,AN2009-41,USN2009-44
Volume (vol) vol.109
Number (no) 248
Page pp.pp.-
#Pages 6
Date of Issue