bullet Sensors & Transducers Journal

    (ISSN 1726- 5479)

205.767

2008 e-Impact Factor

25 Top Downloaded Articles

Best Selling Articles 2012

Journal Subscription 2013

Editorial Calendar 2013

Submit an Article

Editorial Board

Current Issue

S&T journal's cover

Sensors & Transducers Journal 2011

Sensors & Transducers Journal 2010

Sensors & Transducers Journal 2009

Sensors & Transducers Journal 2008

Sensors & Transducers Journal 2007

2000-2002 S&T e-Digest Contents

2003 S&T e-Digest Contents

2004 S&T e-Digest Contents

2005 S&T e-Digest Contents

2006 S&T e-Digest Contents

 

Best Articles 2011

 

 

 

Vol. 158, Issue 11, November 2013, pp. 60-64

 

Bullet

 

Study on Evaluating Wireless Sensor Network Security Based on Uncertain Linguistic Information
 
Shaofei WU

1 Hubei Province Key Laboratory of Intelligent Robot, Wuhan Institute of Technology Wuhan, China

2 School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan, China
E-mail: wushaofei@wit.edu.cn

 

Received: 17 August 2013   /Accepted: 25 October 2013   /Published: 30 November 2013

Digital Sensors and Sensor Sysstems

 

Abstract: Wireless sensor network (WSN), as an integrated network which can perform information gathering, processing and delivering, can connect the real world and logistic information world. It is greatly changing the interaction between people and nature. There are wide potential applications for wireless sensor network, such as industry, agriculture, military affairs, environment monitoring, biomedicine, city managing and disaster succoring. The problem of evaluating security of Wireless Sensor Network (WSN) with uncertain linguistic information is the multiple attribute group decision making (MAGDM). In this paper, we investigate the multiple attribute group decision making (MAGDM) problems for evaluating the wireless sensor network (WSN) security with uncertain linguistic information. We utilize the uncertain linguistic weighted averaging (ULWA) operator to aggregate the uncertain linguistic information corresponding to each alternative and get the overall value of the alternatives, then rank the alternatives and select the most desirable one(s) by using the formula of the degree of possibility for the comparison between two uncertain linguistic variables. Finally, an illustrative example is given.

 

Keywords: Multiple attribute group decision-making (MAGDM), Uncertain linguistic information, Uncertain linguistic weighted averaging (ULWA) operator, Network security evaluation.

 

Acrobat reader logo Click <here> or title of paper to download the full pages article in pdf format

 

 

Download <here> the Library Journal Recommendation Form

 

 

Read more about Wireless Sensor Networks

 

 

 

 

 


1999 - 2018 Copyright , International Frequency Sensor Association (IFSA). All Rights Reserved.


Home - News - Links - Archives - Tools - Voltage-to-Frequency Converters - Standardization - Patents - Marketplace - Projects - Wish List - e-Shop - Sensor Jobs - Membership - Videos - Publishing - Site Map - Subscribe - Search

 Members Area -Sensors Portal -Training Courses - S&T Digest - For advertisers - Bookstore - Forums - Polls - Submit Press Release - Submit White Paper - Testimonies - Twitter - Facebook - LinkedIn