Browsing by Author "Al-Doori, Moath"

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    A comprehensive survey on vehicular Ad Hoc network
    (Elsevier, 2013-03-21) Al-Sultan, S.; Al-Doori, Moath; Al-Bayatti, Ali Hilal; Zedan, Hussein
    Vehicular ad hoc networks (VANETs) are classified as an application of mobile ad hoc network (MANET) that has the potential in improving road safety and in providing travellers comfort. Recently VANETs have emerged to turn the attention of researchers in the field of wireless and mobile communications, they differ from MANET by their architecture, challenges, characteristics and applications. In this paper we present aspects related to this field to help researchers and developers to understand and distinguish the main features surrounding VANET in one solid document, without the need to go through other relevant papers and articles starting from VANET architecture and ending up with the most appropriate simulation tools to simulate VANET protocols and applications.
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    Context aware architecture for sending adaptive HELLO messages in VANET.
    (ACM, 2010) Al-Doori, Moath; Al-Bayatti, Ali Hilal; Zedan, Hussein
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    Range extended engine management system for electric vehicles
    (2014-02-19) Paluszczyszyn, D.; Al-Doori, Moath; Manning, Warren; Elizondo, David; Gammon, Rupert; Goodyer, E. N.
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    Range extended for electric vehicle based on driver behaviour
    (IET, 2014-11-05) Al-Doori, Moath; Paluszczyszyn, D.; Elizondo, David; Passow, Benjamin N.; Goodyer, E. N.
    Driver behaviour has been considered one of the main factors that contribute to increase fuel consumption, CO2 emissions, traffic accidents and causalities. Thus, the concept of detecting and classifying driver behaviour i s vital when tackling these challenges. Recognition of the driver behaviour is a difficult task as in the real-world, the driving behaviour is effected by many factors e.g. traffic, road conditions, duration of the journey etc. Many approaches have considered the use of Computational Intelligence techniques, to develop a driver behaviour detection system. In this paper we concentrate on the impact of driver behaviour on the energy consumption and thereby on the range of electric vehicles. A new architecture is proposed to show how computational intelligence techniques could interact with the contextual information collected from the vehicle, the driver and external environment. A neural network model is used to classify the driver behaviour, and then this classification is used in a fuzzy logic controller to make balanced managements to the range extender operation.
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    Routing management for DTN networks in VANET
    (2011-12) Al-Doori, Moath; Siewe, Francois; Al-Bayatti, Ali Hilal
    Routing protocols in VANET are considered as one of the critical dilemmas that need to be tackled, especially in sparse environment. Thus designing an efficient routing mechanism has an impact on enhancing the network performance in terms of disseminating messages to their desired destinations. This paper proposes a novel routing protocol in VANET for sparse environment called Vehicle Second Heading Direction Routing Protocol (VSHDRP), which is designed to leverage the probability of delivering a data packet to its destination and to increase connectivity and route stability by utilizing the knowledge of the Second Heading Direction (SHD) in the process of selecting the next-hop node. This new routing protocol contains two modes; the highway straight mode and the roundabout\intersection mode. Moreover, the two modes of VSHDRP protocol are formalized in the Calculus of Context-aware Ambients (CCA) and simulated using the CCA interpreter ccaPL in order to analyse and validate the behaviour of the protocol.
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    VSHDRP: Vehicle Second Heading Direction Routing Protocol in VANET
    (IEEE, 2012) Al-Doori, Moath; Siewe, Francois; Al-Bayatti, Ali Hilal
    Routing protocols in VANET are considered as one of the critical dilemmas that need to be tackled, especially in sparse environment. Thus designing an efficient routing mech- anism has an impact on enhancing the network performance in terms of disseminating messages to their desired destinations. This paper proposes a novel routing protocol in VANET for sparse environment called Vehicle Second Heading Direction Routing Protocol (VSHDRP), which is designed to leverage the probability of delivering a data packet to its destination and to increase connectivity and route stability by utilising the knowledge of the Second Heading Direction (SHD) in the process of selecting the next hop-node. To the best of our knowledge this is the first paper that takes the SHD into account to improve the routing mechanism in VANET. Moreover, the VSHDRP protocol is formalised in the Calculus of Context-aware Ambients (CCA) and simulated using the CCA interpreter in order to analyse the behaviour of the protocol.