ScienceDirect® Home Skip Main Navigation Links
You have guest access to ScienceDirect. Find out more.
 
Home
Browse
My Settings
Alerts
Help
 Quick Search
 Search tips (Opens new window)
    Clear all fields    
Fuzzy Sets and Systems
Volume 157, Issue 12, 16 June 2006, Pages 1704-1712
 
Font Size: Decrease Font Size  Increase Font Size
 Abstract - selected
Purchase PDF (252 K)

  E-mail Article   
  Add to my Quick Links   
Bookmark and share in 2collab (opens in new window)
Request permission to reuse this article
  Cited By in Scopus (0)
 
 
 
Related Articles in ScienceDirect
View More Related Articles
 
View Record in Scopus
 
doi:10.1016/j.fss.2005.12.007    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2006 Elsevier B.V. All rights reserved.

An adaptive fuzzy logic based secure routing protocol in mobile ad hoc networksstar, open

Jing NieCorresponding Author Contact Information, E-mail The Corresponding Author, Jiangchua Wen, Ji Luo, Xin He and Zheng Zhou

Wireless Network Lab, Beijing University of Posts and Telecommunications, 5 Beijing, China

Received 25 May 2005; 
revised 17 October 2005; 
accepted 6 December 2005. 
Available online 9 January 2006.

Purchase the full-text article



References and further reading may be available for this article. To view references and further reading you must purchase this article.

Abstract

In ad hoc networks, designing a secure routing protocol is critical. The FLSL (Fuzzy Logic Based Security-Level Routing Protocol) routing protocol is proposed in this paper. The basic idea of FLSL is to utilize the “local multicast” mechanism and the Security-Level to select the highest Security-Level route. The proposed algorithm of Security-Level is an adaptive fuzzy logic based algorithm that can adapt itself with the dynamic conditions of mobile hosts. Simulations show that the FLSL routing protocol can improve security of mobile ad hoc networks. The FLSL routing protocol is feasible to the weak security character of MANETs (mobile ad hoc networks).

Keywords: Fuzzy numbers; Analysis; Fuzzy system model; Routing; Security


Fuzzy Sets and Systems
Volume 157, Issue 12, 16 June 2006, Pages 1704-1712
 
Home
Browse
My Settings
Alerts
Help
Elsevier.com (Opens new window)
About ScienceDirect  |  Contact Us  |  Information for Advertisers  |  Terms & Conditions  |  Privacy Policy
Copyright © 2008 Elsevier B.V. All rights reserved. ScienceDirect® is a registered trademark of Elsevier B.V.