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Title:
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APPLICATION OF INCREMENTAL ANT COLONY OPTIMIZATION (IACO) IN WSNS |
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Author(s):
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Maryam Kharazi , Saleh Sedighi Moshkenani |
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ISBN:
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978-972-8924-62-1 |
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Editors:
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Jörg Roth and Jairo Gutiérrez |
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Year:
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2008 |
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Edition:
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Single |
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Keywords:
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ACO, Ant Colony Optimization, Wireless Sensor Networks, WSNs, AI, routing protocol, Incremental Ant Colony
Optimization (IACO), Swarm Intelligence, LEACH, |
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Type:
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Poster/Demonstration |
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First Page:
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157 |
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Last Page:
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159 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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WSNs have gained much attention in both industry and research communities because they are expected to bring the
interaction between humans, environment, and machines to a new level. Due to the differences between Wireless Sensor
Networks and other wireless networks, new network architectures have been developed and many new routing protocols
have been proposed for these architectures. Solving routing problems in WSNs using smart algorithms is an active
research area and this paper tries to bring up a new swarm algorithm. Using AI techniques in this environment is a
promising task which can be challenging at the same time. In this paper, we make an incremental version of Ant Colony
Optimization (IACO) so that it can keep some of the important solutions found in its lifetime and test if such a strategy
can be beneficial in problems for which ACO is used in WSNs. The simulation result shows that the performance of
IACO is better than the other widely used algorithms: PEGASIS, LEACH, AntNet, which used in routing on WSNs. |
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