By Topic

A Fuzzy Logic-based Delivery Framework for Optimized Routing in Mobile Ad Hoc Networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Yaozhou Ma ; Sch. of Electr. & Inf. Eng., Univ. of Sydney, Sydney, NSW ; Kibria, M.R. ; Jamalipour, A.

Limited radio transmission range, sporadic node densities and power limitations, transform mobile ad hoc networks (MANETs) into intermittently connected MANETs (IC- MANs) where data routing process is disrupted in the absence of end-to-end routing path. In a bid to address this problem, various "store-carry-forward (SCF)" routing algorithms have been proposed in the literature that exploit the mobility and storage space of the nodes. In majority of these algorithms, performance is quantified in terms of delivery probability. Unfortunately in a mobile environment like ICMANs where there is uncertainty about the future state of the network, delivery probability alone cannot provide a good enough measure of message selection, even under community based mobility conditions containing historical statistics of correlated movement. As such, this paper presents a novel optimized data delivery framework, Fuzzy logic based Delivery Framework (.FLDF), that utilizes Fuzzy logic for effective message delivery in ICAMNs. In the proposed mechanism, whenever any two nodes meet each other in the network, each node employs the Fuzzy logic to evaluate the delivery preferences of all possible messages based on various fuzzy sets. Following such evaluation, the nodes select and store messages that have higher delivery preference in the future. Simulation results demonstrate the enhanced delivery performance offered by the proposed FLDF over existing SCF schemes.

Published in:

Wireless Communications and Mobile Computing Conference, 2008. IWCMC '08. International

Date of Conference:

6-8 Aug. 2008