Universiti Teknologi Malaysia Institutional Repository

Driving-situation-aware adaptive broadcasting rate scheme for vehicular ad hoc network

Ghaleb, Fuad A. and Zainal, Anazida and Rassam, Murad A. and Saeed, Faisal (2018) Driving-situation-aware adaptive broadcasting rate scheme for vehicular ad hoc network. Journal of Intelligent and Fuzzy Systems, 35 (1). pp. 423-438. ISSN 1064-1246

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Official URL: http://dx.doi.org/10.3233/JIFS-169600


In vehicular ad hoc networks, vehicles need to exchange their recent mobility information at a high rate to maintain network agility and to preserve the performance of applications. Unfortunately, a high broadcasting rate affects the performance of both network reliability and information accuracy. The aim of this paper is to reduce the broadcasting rate while preserving information accuracy. A Driving-Situation-Aware Adaptive Broadcasting Rate Scheme (DSA-ABR)is proposed based on effective mobility prediction algorithm operates in between message transmissions, to reduce the communication rate. The scheme contains two algorithms which are Self-Predictor and Neighboring-Predictor based on an adaptive version of the Extended Kalman Filter. Firstly, the Self-Predictor algorithm estimates the current mobility state, with the help of the previous mobility state and knowledge about the driving situation and measurement uncertainties. Individual driving situation prediction models are obtained online through training on historical data. A vehicle decides whether to send or omit the beacon messages based on the accuracy of the Self-Predictor. Secondly, the Neighbouring-Predictor algorithm predicts the omitted or lost beacon messages with the help of knowledge shared by the sender vehicles. The results show the effectiveness and the efficiency of the proposed scheme under unreliable communication conditions.

Item Type:Article
Uncontrolled Keywords:adaptive broadcasting, ITS, kalman filter, mobility prediction, VANET
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
ID Code:85447
Deposited By: Yanti Mohd Shah
Deposited On:30 Jun 2020 16:45
Last Modified:30 Jun 2020 16:45

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