loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
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
Ming-Hui Jin, National Taiwan University, Taipei, Taiwan
Win-Zing Li, Tong An Element School,Taoyuan, Taiwan
D. Frank Hsu, Fordham University,New York
Cheng-Yan Kao, Institute of Information Industry, Taipei
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.