IEICE TRANSACTIONS on Communications
Proposal for Autonomous Decentralized Structure Formation Based on Local Interaction and Back-Diffusion Potential
Summary :
Clustering technology is very important in ad hoc networks and sensor networks from the view point of reducing the traffic load and energy consumption. In this paper, we propose a new structure formation mechanism as a tool for clustering. It meets the key clustering requirements including the use of an autonomous decentralized algorithm and a consideration of the situation of individual nodes. The proposed mechanism follows the framework of autonomous decentralized control based on local interaction, in which the behavior of the whole system is indirectly controlled by appropriately designing the autonomous actions of the subsystems. As an application example, we demonstrate autonomous decentralized clustering for a two-dimensional lattice network model, and the characteristics and adaptability of the proposed method are shown. In particular, the clusters produced can reflect the environmental situation of each node given by the initial condition.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E95-B No.5 pp.1529-1538
- Publication Date
- 2012/05/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E95.B.1529
- Type of Manuscript
- Special Section PAPER (Special Section on Frontiers of Information Network Science)
- Category
Authors
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Chisa TAKANO, Masaki AIDA, Masayuki MURATA, Makoto IMASE, "Proposal for Autonomous Decentralized Structure Formation Based on Local Interaction and Back-Diffusion Potential" in IEICE TRANSACTIONS on Communications,
vol. E95-B, no. 5, pp. 1529-1538, May 2012, doi: 10.1587/transcom.E95.B.1529.
Abstract: Clustering technology is very important in ad hoc networks and sensor networks from the view point of reducing the traffic load and energy consumption. In this paper, we propose a new structure formation mechanism as a tool for clustering. It meets the key clustering requirements including the use of an autonomous decentralized algorithm and a consideration of the situation of individual nodes. The proposed mechanism follows the framework of autonomous decentralized control based on local interaction, in which the behavior of the whole system is indirectly controlled by appropriately designing the autonomous actions of the subsystems. As an application example, we demonstrate autonomous decentralized clustering for a two-dimensional lattice network model, and the characteristics and adaptability of the proposed method are shown. In particular, the clusters produced can reflect the environmental situation of each node given by the initial condition.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E95.B.1529/_p
Copy
@ARTICLE{e95-b_5_1529,
author={Chisa TAKANO, Masaki AIDA, Masayuki MURATA, Makoto IMASE, },
journal={IEICE TRANSACTIONS on Communications},
title={Proposal for Autonomous Decentralized Structure Formation Based on Local Interaction and Back-Diffusion Potential},
year={2012},
volume={E95-B},
number={5},
pages={1529-1538},
abstract={Clustering technology is very important in ad hoc networks and sensor networks from the view point of reducing the traffic load and energy consumption. In this paper, we propose a new structure formation mechanism as a tool for clustering. It meets the key clustering requirements including the use of an autonomous decentralized algorithm and a consideration of the situation of individual nodes. The proposed mechanism follows the framework of autonomous decentralized control based on local interaction, in which the behavior of the whole system is indirectly controlled by appropriately designing the autonomous actions of the subsystems. As an application example, we demonstrate autonomous decentralized clustering for a two-dimensional lattice network model, and the characteristics and adaptability of the proposed method are shown. In particular, the clusters produced can reflect the environmental situation of each node given by the initial condition.},
keywords={},
doi={10.1587/transcom.E95.B.1529},
ISSN={1745-1345},
month={May},}
Copy
TY - JOUR
TI - Proposal for Autonomous Decentralized Structure Formation Based on Local Interaction and Back-Diffusion Potential
T2 - IEICE TRANSACTIONS on Communications
SP - 1529
EP - 1538
AU - Chisa TAKANO
AU - Masaki AIDA
AU - Masayuki MURATA
AU - Makoto IMASE
PY - 2012
DO - 10.1587/transcom.E95.B.1529
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E95-B
IS - 5
JA - IEICE TRANSACTIONS on Communications
Y1 - May 2012
AB - Clustering technology is very important in ad hoc networks and sensor networks from the view point of reducing the traffic load and energy consumption. In this paper, we propose a new structure formation mechanism as a tool for clustering. It meets the key clustering requirements including the use of an autonomous decentralized algorithm and a consideration of the situation of individual nodes. The proposed mechanism follows the framework of autonomous decentralized control based on local interaction, in which the behavior of the whole system is indirectly controlled by appropriately designing the autonomous actions of the subsystems. As an application example, we demonstrate autonomous decentralized clustering for a two-dimensional lattice network model, and the characteristics and adaptability of the proposed method are shown. In particular, the clusters produced can reflect the environmental situation of each node given by the initial condition.
ER -
English
