IEEE 802.11ah is a promising wireless standard proposed to support the emerging machine-to- machine (M2M) communications. To solve the bottleneck problem of contention-based protocol, 802.11ah limits the number of channel access from the high number of connected M2M nodes by partitioning them into multiple groups with respective restricted access window (RAW). In this paper, we model the 802.11ah as an evolutionary game to analyse the network throughput and its dynamic decision-making process. In particular, the evolution dynamic of backoff misbehaviour by selfish nodes and its impact is studied through simulation of strategy revision process of the player after comparing the projected payoff of each strategy. The obtained results show that selfish strategy can cause network performance degradation by more than 10 percent although being the Evolutionary Stable Strategy (ESS) of the game. Moreover, it is observed that the selfish player has a massive advantage over the honest player in terms of throughput by more than three times. With the help of our game model, the population evolution is simulated, and the result demonstrates the increase of selfish player proportion over each strategy revision opportunity which poses a severe concern for resource availability of the honest player.


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    Titel :

    Performance Evaluation of Backoff Misbehaviour in IEEE 802.11ah Using Evolutionary Game Theory


    Beteiligte:


    Erscheinungsdatum :

    2019-04-01


    Format / Umfang :

    1006890 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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