Pheromone approach to the adaptive discovery of sensor-network topology

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

doi:10.1109/WIIAT.2008.143

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 proceeding › Conference 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 language	English
Title of host publication	Proceedings - 2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2008
Pages	41-47
Number of pages	7
DOIs	https://doi.org/10.1109/WIIAT.2008.143
Publication status	Published - 2008
Externally published	Yes
Event	2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2008 - Sydney, NSW, Australia Duration: 2008 Dec 9 → 2008 Dec 12

Publication series

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

Other

Other	2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2008
Country/Territory	Australia
City	Sydney, NSW
Period	08/12/9 → 08/12/12

ASJC Scopus subject areas

Artificial Intelligence
Software

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10.1109/WIIAT.2008.143

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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] (Proceedings - 2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2008). 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 (Proceedings - 2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2008).

Research output: Chapter in Book/Report/Conference proceeding › Conference 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, Proceedings - 2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2008, 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. (Proceedings - 2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2008). https://doi.org/10.1109/WIIAT.2008.143

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Pheromone approach to the adaptive discovery of sensor-network topology

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