Performance Evaluation of Backoff Misbehaviour in IEEE 802.11ah Using Evolutionary Game Theory
| Autor: | Aduwati Sali, Jiun Terng Liew, M. Fadlee Abdul Rasid, Kanapathippillai Cumanan, Fazirulhisyam Hashim |
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| Rok vydání: | 2019 |
| Předmět: |
Computer science
business.industry 05 social sciences Stochastic game Evolutionary game theory TheoryofComputation_GENERAL 050801 communication & media studies 020206 networking & telecommunications Throughput 02 engineering and technology Bottleneck Evolutionarily stable strategy 0508 media and communications 0202 electrical engineering electronic engineering information engineering Wireless business Computer network Communication channel IEEE 802.11ah |
| Zdroj: | VTC Spring |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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