Nontransitive Ranking to Enhance Routing Decision in MANETS

TL;DR

This paper introduces a nontransitive fuzzy ranking method for route selection in MANETs, improving decision accuracy by handling fuzzy metrics and subjective comparisons, leading to more reliable routing.

Contribution

It proposes a novel nontransitive fuzzy ranking approach for route selection in MANETs, addressing the limitations of classical transitive ranking methods.

Findings

The proposed model improves route selection accuracy.

Experimental results demonstrate the efficiency of the nontransitive ranking method.

The approach handles fuzzy and vague metrics effectively.

Abstract

An ad hoc network is an infrastructureless network in which nodes perform terminal as well as routing functions. A routing protocol is the only substitute to complete the communications in the absence of an access point. In spite of that mobile nodes or so called routers uses some mechanism for calculating the best route when it has multiple routes for the same destination. On the basis of one or more metrics routes are ranked from best to worst. But, in an ad hoc network many factors can affect this decision, such as the delay, load, route lifetime etc. Thus measuring and finding routes on the basis of crisp mathematical model for all these attributes is complicated. That why, the fuzzy approach for best route determination is required for MANET because some of the metrics are fuzzy or vague and the classical ranking of routes and transitivity in the ranking does not hold. The proposed Nontransitive Route Ranking subjective comparison of one route with others and performs nontransitive ranking to rank routes from best to worst. The pairwise comparisons of each route with others give more accurate and fair comparison. The proposed ranking is easier than classical ranking in which metrics have assigned some value and these values are combined to obtain the ranking. Experimental result shows the efficiency of the proposed model. Keywords: Fuzzy, Rank, Nontransitive, Route, Ranking, Relativity