Evaluation Models for the Nearest Closer Routing Protocol in Wireless Sensor Networks

Ning Cao; Pingzeng Liu; Guofu Li; Ce Zhang; Shaohua Cao; Guangsheng Cao; Maoling Yan; Brij Bhooshan Gupta

doi:10.1109/ACCESS.2018.2825441

IEEE Access (Jan 2018)

Evaluation Models for the Nearest Closer Routing Protocol in Wireless Sensor Networks

Ning Cao,
Pingzeng Liu,
Guofu Li,
Ce Zhang,
Shaohua Cao,
Guangsheng Cao,
Maoling Yan,
Brij Bhooshan Gupta

Affiliations

Ning Cao: ORCiD; College of Information Engineering, Sanming University, Sanming, China
Pingzeng Liu: ORCiD; College of Information Science and Engineering, Shandong Agricultural University, Tai’an, China
Guofu Li: College of Communication and Art Design, University of Shanghai for Science and Technology, Shanghai, China
Ce Zhang: School of Computer Science and Technology, Harbin Institute of Technology at Weihai, Weihai, China
Shaohua Cao: College of Computer and Communication Engineering, China University of Petroleum, Qingdao, China
Guangsheng Cao: College of Information Engineering, Qingdao Binhai University, Qingdao, China
Maoling Yan: College of Information Science and Engineering, Shandong Agricultural University, Tai’an, China
Brij Bhooshan Gupta: Department of Computer Engineering, National Institute of Technology at Kurukshetra, Kurukshetra, India

DOI: https://doi.org/10.1109/ACCESS.2018.2825441
Journal volume & issue: Vol. 6
pp. 77043 – 77054

Abstract

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Wireless sensor networks (WSNs) have been pushed to the forefront in the past decade, owing to the advert of the Internet of Things. Our research suggests that the reliability and lifetime performance of a typical application in WSNs depends crucially on a set of parameters. In this paper, we implemented our experiments on the nearest closer protocol with the J-Sim simulation tool. We then analyze the closure relationships among the density, reliability and lifetime, and reveal the trade-off among them based on our analysis on the experiment results. Next, we propose five intelligent evaluation models that are applicable to such situations. Our research allows the WSN users to predict the significant evaluation parameters directly from the settings while costly simulations are no longer necessary.

Published in IEEE Access

ISSN: 2169-3536 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639

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