An Evolvable Fuzzy Logic System for handoff management in heterogeneous Wireless Networks

TL;DR

This paper introduces an evolvable fuzzy logic system combined with genetic algorithms to optimize handoff management in heterogeneous wireless networks, enhancing decision accuracy and adaptability.

Contribution

It presents a novel approach integrating fuzzy logic and genetic algorithms for dynamic handoff management in diverse wireless environments.

Findings

Improved handoff decision accuracy through evolution.

Enhanced adaptability to network heterogeneity.

Effective simulation results demonstrating performance gains.

Abstract

One of the features of the Next Generation Wireless Networks (NGWNs) is its heterogeneous communication environment. Heterogeneous networks are ranging from wireless WAN, LAN, MAN and PAN. The most important parameters in this regard are different data rates and coverage of these networks. In this paper, we propose an evolvable fuzzy logic-based algorithm for managing handover process in heterogeneous wireless networks. We use fuzzy logic system to determine the right time of initiating the handoff procedure and utilize Genetic Algorithm (GA) to predict the best form of rules of the fuzzy module. We implement our proposed scheme on a special simulation model and discuss about the impact of evolution on the algorithm.