Pheromone approach to the adaptive discovery of sensor-network topology

Hiroshi Tamaki, Ken Ichi Fukui, Masayuki Numao, Satoshi Kurihara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Sensor-network technology is indispensable for constructing ubiquitous network infrastructures. Although information about adjacent relations between sensors is also very important for sensor networks, obtaining this information automatically without manual assistance is extremely difficult. Consequently, we propose a new methodology for constructing adjacent relations in sensor networks using an ant-colony optimization algorithm. This methodology can be used to automatically extract adjacent relations without using prepared sensor-location information or RFIDs to identify individual humans. We implemented a prototype system, and verified its basic effectiveness through simulations and an experiment using real data.

Original languageEnglish
Title of host publicationProceedings - 2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2008
Pages41-47
Number of pages7
DOIs
Publication statusPublished - 2008 Dec 1
Externally publishedYes
Event2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2008 - Sydney, NSW, Australia
Duration: 2008 Dec 92008 Dec 12

Other

Other2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2008
CountryAustralia
CitySydney, NSW
Period08/12/908/12/12

Fingerprint

Sensor networks
Topology
Ant colony optimization
Sensors
Radio frequency identification (RFID)
Experiments

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software

Cite this

Tamaki, H., Fukui, K. I., Numao, M., & Kurihara, S. (2008). Pheromone approach to the adaptive discovery of sensor-network topology. In Proceedings - 2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2008 (pp. 41-47). [4740594] https://doi.org/10.1109/WIIAT.2008.143

Pheromone approach to the adaptive discovery of sensor-network topology. / Tamaki, Hiroshi; Fukui, Ken Ichi; Numao, Masayuki; Kurihara, Satoshi.

Proceedings - 2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2008. 2008. p. 41-47 4740594.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Tamaki, H, Fukui, KI, Numao, M & Kurihara, S 2008, Pheromone approach to the adaptive discovery of sensor-network topology. in Proceedings - 2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2008., 4740594, pp. 41-47, 2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2008, Sydney, NSW, Australia, 08/12/9. https://doi.org/10.1109/WIIAT.2008.143
Tamaki H, Fukui KI, Numao M, Kurihara S. Pheromone approach to the adaptive discovery of sensor-network topology. In Proceedings - 2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2008. 2008. p. 41-47. 4740594 https://doi.org/10.1109/WIIAT.2008.143
Tamaki, Hiroshi ; Fukui, Ken Ichi ; Numao, Masayuki ; Kurihara, Satoshi. / Pheromone approach to the adaptive discovery of sensor-network topology. Proceedings - 2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2008. 2008. pp. 41-47
@inproceedings{eacfae83d90848c8ab634324020c4380,
title = "Pheromone approach to the adaptive discovery of sensor-network topology",
abstract = "Sensor-network technology is indispensable for constructing ubiquitous network infrastructures. Although information about adjacent relations between sensors is also very important for sensor networks, obtaining this information automatically without manual assistance is extremely difficult. Consequently, we propose a new methodology for constructing adjacent relations in sensor networks using an ant-colony optimization algorithm. This methodology can be used to automatically extract adjacent relations without using prepared sensor-location information or RFIDs to identify individual humans. We implemented a prototype system, and verified its basic effectiveness through simulations and an experiment using real data.",
author = "Hiroshi Tamaki and Fukui, {Ken Ichi} and Masayuki Numao and Satoshi Kurihara",
year = "2008",
month = "12",
day = "1",
doi = "10.1109/WIIAT.2008.143",
language = "English",
isbn = "9780769534961",
pages = "41--47",
booktitle = "Proceedings - 2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2008",

}

TY - GEN

T1 - Pheromone approach to the adaptive discovery of sensor-network topology

AU - Tamaki, Hiroshi

AU - Fukui, Ken Ichi

AU - Numao, Masayuki

AU - Kurihara, Satoshi

PY - 2008/12/1

Y1 - 2008/12/1

N2 - Sensor-network technology is indispensable for constructing ubiquitous network infrastructures. Although information about adjacent relations between sensors is also very important for sensor networks, obtaining this information automatically without manual assistance is extremely difficult. Consequently, we propose a new methodology for constructing adjacent relations in sensor networks using an ant-colony optimization algorithm. This methodology can be used to automatically extract adjacent relations without using prepared sensor-location information or RFIDs to identify individual humans. We implemented a prototype system, and verified its basic effectiveness through simulations and an experiment using real data.

AB - Sensor-network technology is indispensable for constructing ubiquitous network infrastructures. Although information about adjacent relations between sensors is also very important for sensor networks, obtaining this information automatically without manual assistance is extremely difficult. Consequently, we propose a new methodology for constructing adjacent relations in sensor networks using an ant-colony optimization algorithm. This methodology can be used to automatically extract adjacent relations without using prepared sensor-location information or RFIDs to identify individual humans. We implemented a prototype system, and verified its basic effectiveness through simulations and an experiment using real data.

UR - http://www.scopus.com/inward/record.url?scp=62949209498&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=62949209498&partnerID=8YFLogxK

U2 - 10.1109/WIIAT.2008.143

DO - 10.1109/WIIAT.2008.143

M3 - Conference contribution

AN - SCOPUS:62949209498

SN - 9780769534961

SP - 41

EP - 47

BT - Proceedings - 2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2008

ER -