Int. J. of Wireless and Mobile Computing   »   2016 Vol.10, No.4

 

 

Title: The reliability analysis of wireless sensor networks based on the energy restrictions

 

Authors: Yanni Liu; Dongsheng Liu; Yi Zhao; Liming Wang

 

Addresses:
School of Computer Science and Information Engineering, Zhejiang Gongshang University, No. 18, Xuezheng Str., Xiasha University Town, Hangzhou, China; School of Foreign Languages, Zhejiang Gongshang University, No. 18, Xuezheng Str., Xiasha University Town, Hangzhou, China
School of Computer Science and Information Engineering, Zhejiang Gongshang University, No. 18, Xuezheng Str., Xiasha University Town, Hangzhou, China; Contemporary Business and Trade Research Center, Zhejiang Gongshang University, No. 18, Xuezheng Str., Xiasha University Town, Hangzhou, China
Zhejiang Kinstar S&T Co. Ltd., No. 276, Jianguo North Road, Hangzhou, China
Hangzhou College of Commerce, Zhejiang Gongshang University, No. 18, Xuezheng Str., Xiasha University Town, Hangzhou, China

 

Abstract: The Wireless Sensor Networks (WSNs) are composed of sensor nodes and sink nodes, and the network of sensor nodes is energy constrained, so the reliability of the WSNs is closely related to the energy of the nodes. According to the characteristics of the WSNs, this paper gives the concepts of the reliability and transmission reliability in WSNs, and analyses the energy consumption of sensor nodes in cases of data fusion and no data fusion. Additionally, we get the function relationship between reliability probability and time when WSN nodes are in normal working condition. Furthermore, by the simulation technology, we evaluate the reliability of the WSNs and the transmission reliability method of the entire network associated with the different level of energy. Finally, we propose the algorithm of transmission reliability model in the process of wireless transmission with energy restrictions.

 

Keywords: WSNs; wireless sensor networks; energy modelling; data fusion; node reliability; transmission reliability; energy consumption; simulation.

 

DOI: 10.1504/IJWMC.2016.078220

 

Int. J. of Wireless and Mobile Computing, 2016 Vol.10, No.4, pp.399 - 406

 

Submission date: 29 Dec 2015
Date of acceptance: 04 May 2016
Available online: 29 Jul 2016

 

 

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