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1

School of Mathematics and Computer Science, Hubei University of Arts and Science, Xiangyang 441053, China

2

School of Computer Science, Colorado Technical University, Colorado Springs, CO 80907, USA





*

Author to whom correspondence should be addressed.



Academic Editor: Vittorio M. N. Passaro

Abstract The services composition technology provides flexible methods for building service composition applications SCAs in wireless sensor networks WSNs. The high reliability and high performance of SCAs help services composition technology promote the practical application of WSNs. The optimization methods for reliability and performance used for traditional software systems are mostly based on the instantiations of software components, which are inapplicable and inefficient in the ever-changing SCAs in WSNs. In this paper, we consider the SCAs with fault tolerance in WSNs. Based on a Universal Generating Function UGF we propose a reliability and performance model of SCAs in WSNs, which generalizes a redundancy optimization problem to a multi-state system. Based on this model, an efficient optimization algorithm for reliability and performance of SCAs in WSNs is developed based on a Genetic Algorithm GA to find the optimal structure of SCAs with fault-tolerance in WSNs. In order to examine the feasibility of our algorithm, we have evaluated the performance. Furthermore, the interrelationships between the reliability, performance and cost are investigated. In addition, a distinct approach to determine the most suitable parameters in the suggested algorithm is proposed. View Full-Text

Keywords: wireless sensor networks; services composition; reliability optimization; performance optimization; fault tolerance wireless sensor networks; services composition; reliability optimization; performance optimization; fault tolerance





Autor: Zhao Wu 1, Naixue Xiong 2,* , Yannong Huang 1, Degang Xu 1 and Chunyang Hu 1

Fuente: http://mdpi.com/



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