Optimizing the Reliability and Performance ofService Composition Applications with Fault Tolerancein Wireless Sensor Networks

Sensors

Naixue Xiong¹  Degang Xu²  Zhao Wu²  Chunyang Hu²  Yannong Huang² 

[1] School of Computer Science, Colorado Technical University, Colorado Springs, CO 80907, USA;School of Mathematics and Computer Science, Hubei University of Arts and Science,Xiangyang 441053, China;

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

DOI  :  10.3390/s151128193

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown