Compact genetic algorithm for performance improvement in hierarchical sensor networks management
Resource
Parallel Architectures,Algorithms and Networks, 2005. ISPAN 2005. Proceedings. 8th International Symposium on
Journal
Parallel Architectures,Algorithms and Networks, 2005. ISPAN 2005. Proceedings. 8th International Symposium on
Pages
-
Date Issued
2005-12
Date
2005-12
Author(s)
Jin, Ming-Hui
Liu, Win-Zing
Hsu, D.F.
Kao, Cheng-Yan
DOI
1087-4089
Abstract
This paper introduces a novel scheduling problem called the active interval scheduling problem in hierarchical wireless sensor networks for long-term periodical monitoring applications. To improve the report sensitivity of the hierarchical wireless sensor networks, an efficient scheduling algorithm is desired. Therefore, in this paper, we propose a compact genetic algorithm (CGA) to optimize the solution quality for sensor network maintenance. The experimental result shows that the proposed CGA brings better solutions in acceptable calculation time.
SDGs
Type
journal article
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