Abstract
Self-organization is the key to implement self-calibration, autonomously coordination and p2p communication in sensor networks. Current researches mainly solve this problem in an inappropriate pre-planned manner. The swarm intelligence of the Ant Colony Algorithm (ACA) provides a novel and efficient method for self-organization. For the similarity of sensor network and ant colony, we argue that the sensor networks will benefit from the bio-inspired self-organization by applying the ACA in optimization, structure formation and task/resource allocation. In this paper we outline the current researches on the ACA in sensor network first, then propose the potential applications and research issues. General design of the ACA in sensor network and some challenges are presented as well.
Original language | English |
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Title of host publication | Proceedings - 22nd International Conference on Advanced Information Networking and Applications, AINA 2008 |
Pages | 1054-1061 |
Number of pages | 8 |
DOIs | |
Publication status | Published - 1 Sept 2008 |
Event | 22nd International Conference on Advanced Information Networking and Applications, AINA 2008 - Gino-wan, Okinawa, Japan Duration: 25 Mar 2008 → 28 Mar 2008 |
Conference
Conference | 22nd International Conference on Advanced Information Networking and Applications, AINA 2008 |
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Country/Territory | Japan |
City | Gino-wan, Okinawa |
Period | 25/03/08 → 28/03/08 |
ASJC Scopus subject areas
- General Engineering