Welcome to the InfoSci Platform
Reference Hub1
Fuzzy Reasoning Approach for Local Connectivity Management in Mobile Ad Hoc Networks

Fuzzy Reasoning Approach for Local Connectivity Management in Mobile Ad Hoc Networks

Essam Natsheh, Adznan B. Jantan, Sabira Khatun, Shamala Subramaniam
Copyright: © 2006 |Volume: 2 |Issue: 3 |Pages: 18
ISSN: 1548-0631|EISSN: 1548-064X|ISSN: 1548-0631|EISBN13: 9781615201716|EISSN: 1548-064X|DOI: 10.4018/jbdcn.2006070101
Cite Article Cite Article

MLA

Natsheh, Essam, et al. "Fuzzy Reasoning Approach for Local Connectivity Management in Mobile Ad Hoc Networks." IJBDCN vol.2, no.3 2006: pp.1-18. http://doi.org/10.4018/jbdcn.2006070101

APA

Natsheh, E., Jantan, A. B., Khatun, S., & Subramaniam, S. (2006). Fuzzy Reasoning Approach for Local Connectivity Management in Mobile Ad Hoc Networks. International Journal of Business Data Communications and Networking (IJBDCN), 2(3), 1-18. http://doi.org/10.4018/jbdcn.2006070101

Chicago

Natsheh, Essam, et al. "Fuzzy Reasoning Approach for Local Connectivity Management in Mobile Ad Hoc Networks," International Journal of Business Data Communications and Networking (IJBDCN) 2, no.3: 1-18. http://doi.org/10.4018/jbdcn.2006070101

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

Routing is an important functional aspect in wireless ad hoc networks that handles discovering and maintaining the paths between nodes within a network. Due to nodes’ mobility, the efficiency of a dynamic ad hoc routing protocol depends highly on updating speed of network topology changes. To achieve continuous updated routing tables, the nodes periodically broadcast short Hello messages to their neighbors. Although benefits of these messages have been proven, many studies show some drawbacks for these messages. In this paper, we adaptively optimize the frequent needs of those messages using a fuzzy logic system. The proposed fuzzy algorithm is used to model the uncertainty measurements for updating local connectivity successfully in time. Extensive performance analysis via simulation proves the effectiveness of the proposed method to improve the accuracy of neighborhood information and, hence, overall network performance.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.