1. IACO resources search algorithm in unstructured P2P network.
- Author
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FANG Pei, YAN Xiang-long, LIANG Zi, and WU Xiao-jun
- Subjects
- *
ANT algorithms , *COMPUTER networks , *INFORMATION resources , *PHEROMONES , *PROBABILITY theory , *COMPUTER algorithms , *COMPUTER science - Abstract
To solve the problems of low efficiency and more redundant messages in unstructured P2P network resources search, this paper proposed an ant colony optimization based on interest factor(IACO). It gave full consideration to the effects of node value of resources search. It introduced node interest factor into traditional ant colony algorithm to adjust the weight relationship of node value and pheromones dynamically in the forward probability calculation, and effectively guided the generation of resources query path. The simulation results show that the proposed algorithm can improve the success significantly rate and to a certain extent can reduce the amount of redundant messages in the network at the same time. [ABSTRACT FROM AUTHOR]
- Published
- 2014
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