8th International Symposium on Parallel Architectures,Algorithms and Networks (ISPAN'05) Compact Genetic Algorithm for Performance Improvement in Hierarchical Sensor Networks Management Las Vegas, Nevada, USA December 07-December 09 ISBN: 0-7695-2509-1
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ISPAN.2005.28
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.
Citation:
Ming-Hui Jin, Win-Zing Li, D. Frank Hsu, Cheng-Yan Kao, "Compact Genetic Algorithm for Performance Improvement in Hierarchical Sensor Networks Management," ispan, pp.406-413, 8th International Symposium on Parallel Architectures,Algorithms and Networks (ISPAN'05), 2005 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||