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A Bayesian-Based Vertical Handover Management Algorithm for Heterogeneous Networks
Sami Saleh Alwakeel, Nasser M. Alotaibi
Pages - 1 - 12     |    Revised - 30-09-2020     |    Published - 31-10-2020
Volume - 10   Issue - 1    |    Publication Date - October 2020  Table of Contents
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KEYWORDS
Vertical Handoff (VHO) Scheme, Bayesian Classifier Application In Networking, Bayesian Network Algorithms, QoS Over Heterogeneous Networks.
ABSTRACT
One of the key challenges for providing services over Heterogeneous wireless networks is the design of Handover Management strategy to guide the decision for a mobile terminal (MT) handoff between different types of networks. Handover process is a necessity in order to cope with various multimedia services QoS settings. The traditional handover decision algorithm is usually based only on Received Signal Strength (RSS) or focused on the network-physical level parameters. The aim of this paper is to present a novel intelligent vertical handover management algorithm that can achieve seamless connectivity and Always Best Connected (ABC) call status for group mobility, while considering user satisfaction and/or to meet application or device related contexts. The proposed algorithm strategy is based on Bayesian classifier, which is one of the advanced tool and proven concept for knowledge representation and inference under uncertainty.

The proposed Bayesian-based vertical handover management strategy (BBVHO) evaluates and create relationships between different decision attributes, related to heterogeneous networks conditions, terminal capabilities, application requirements, and user preferences. Afterward, the estimates of each attribute value are forwarded to a Bayesian classifier to select the optimal access network.

For evaluation of the proposed Bayesian algorithm performance, it is simulated in a heterogeneous network’s environment, offering both real time services (voice over IP services), and data Services (packet data traffic). The performance results show that the use of the Bayesian based management strategy to carry out the Handover process can enhance the QoS perceived by both types of voice and data service, while fulfilling to great extent the user preference. The simulation study also showed that the proposed BBVHO algorithm outperforms the Received Signal Strength (RSS) traditional scheme in all performance measures. Besides, It allows solving the complexity of the handover decision process resulting from the multitude dimensions of the VHO decision criteria and the dynamicity of many of its components.
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Professor Sami Saleh Alwakeel
College of Computer and Information Sciences, King Saud University, Riyadh, 11543 - Saudi Arabia
swakeel@ksu.edu.sa
Dr. Nasser M. Alotaibi
Process and Control System Department, Saudi Aramco, Dhahran, 11447 - Saudi Arabia