In this paper, we present realistic urban simulation results for store-carry-forward (SCF) relay communications within a cellular network. We describe two dynamic routing algorithms, minimising outage and minimising data packet travel time, which feature enhancements to increase the routing flexibility. It is shown that these enhancements to increase flexibility in re-routing the data leads to a dramatic decrease in the outage probability while only increasing packet travel time slightly. A misbehaviour model is analysed in this paper, in which misbehaving vehicles fail to follow the rules of the SCF routing algorithms. There are various reasons for a rogue vehicle to fail to obey the routing algorithm, including an intention to modify the message before onward transmission. Misbehaviour is detected by considering expected traffic density distributions. A Hidden Markov Model (HMM) is used to detect misbehaviour based on how data is passed by vehicles. Results show that the probability that misbehaviour is detected is 87\% using this approach.


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    Title :

    Dynamic Route Selection for Vehicular Store-Carry-Forward Networks and Misbehaviour Vehicles Analysis


    Contributors:


    Publication date :

    2018-08-01


    Size :

    974940 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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