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受数据安全约束的无线传感器网络服务系统中的最优服务分配

Optimal service distribution in WSN service system subject to data security constraints.

作者信息

Wu Zhao, Xiong Naixue, Huang Yannong, Gu Qiong

机构信息

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

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

出版信息

Sensors (Basel). 2014 Aug 4;14(8):14180-209. doi: 10.3390/s140814180.

Abstract

Services composition technology provides a flexible approach to building Wireless Sensor Network (WSN) Service Applications (WSA) in a service oriented tasking system for WSN. Maintaining the data security of WSA is one of the most important goals in sensor network research. In this paper, we consider a WSN service oriented tasking system in which the WSN Services Broker (WSB), as the resource management center, can map the service request from user into a set of atom-services (AS) and send them to some independent sensor nodes (SN) for parallel execution. The distribution of ASs among these SNs affects the data security as well as the reliability and performance of WSA because these SNs can be of different and independent specifications. By the optimal service partition into the ASs and their distribution among SNs, the WSB can provide the maximum possible service reliability and/or expected performance subject to data security constraints. This paper proposes an algorithm of optimal service partition and distribution based on the universal generating function (UGF) and the genetic algorithm (GA) approach. The experimental analysis is presented to demonstrate the feasibility of the suggested algorithm.

摘要

服务组合技术为在面向服务的无线传感器网络(WSN)任务系统中构建无线传感器网络服务应用(WSA)提供了一种灵活的方法。维护WSA的数据安全是传感器网络研究中最重要的目标之一。在本文中,我们考虑一个面向服务的WSN任务系统,其中WSN服务代理(WSB)作为资源管理中心,可以将来自用户的服务请求映射为一组原子服务(AS),并将它们发送到一些独立的传感器节点(SN)进行并行执行。这些AS在这些SN之间的分布会影响数据安全以及WSA的可靠性和性能,因为这些SN可能具有不同且独立的规格。通过将服务最优地划分为AS并在SN之间进行分配,WSB可以在数据安全约束下提供最大可能的服务可靠性和/或预期性能。本文提出了一种基于通用生成函数(UGF)和遗传算法(GA)的最优服务划分与分配算法。通过实验分析来证明所提算法的可行性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d14/4179062/7328cf90733e/sensors-14-14180f1.jpg

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