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 | |
| Publication status | Published - 2008 Dec 1 |
| 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 |
Other
| Other | 2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2008 |
|---|---|
| Country | Australia |
| City | Sydney, NSW |
| Period | 08/12/9 → 08/12/12 |
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ASJC Scopus subject areas
- Artificial Intelligence
- Software
Cite this
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 proceeding › Conference contribution
}
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
SN - 9780769534961
SP - 41
EP - 47
BT - Proceedings - 2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2008
ER -