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About A N OVEL E NERGY A WARE N ODE C LUSTERING A LGORITHM F OR W IRELESS S ENSOR N ETWORKS U SING A M ODIFIED A RTIFICIAL F ISH S WARM A LGORITHM
Clustering problems are considered amongst the prom inent challenges in statistics and computational science. Clustering of nodes in wireless sensor net works which is used to prolong the life-time of net works is one of the difficult tasks of clustering procedu re. In order to perform nodes’ clustering, a number of nodes are determined as cluster heads and other one s are joined to one of these heads, based on differ ent criteria e.g. Euclidean distance. So far, different approaches have been proposed for this process, wh ere swarm and evolutionary algorithms contribute in thi s regard. In this study, a novel algorithm is propo sed based on Artificial Fish Swarm Algorithm (AFSA) for clustering procedure.
Detailed Information
| Author: | ['AIRCC - IJCNC'] |
|---|---|
| Publication Year: | 2015 |
| Pages: | 13 |
| Language: | English |
| Format: | |
| Price: | FREE |
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