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AMPLE: A Novel Incentive Approach to Adaptive-Width Channel Allocation in Multi-hop, Non-cooperative Wireless Networks

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Wireless Algorithms, Systems, and Applications (WASA 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7405))

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Abstract

Due to the limitation of radio spectrum resource and fast deployment of wireless devices, careful channel allocation is of great importance for mitigating the performance degradation caused by interference among different users in wireless networks. Most of existing work focused on fixed-width channel allocation. However, latest researches have demonstrated that it is possible to combine contiguous channels for better utilizing the available channels. In this paper, we study the problem of adaptive-width channel allocation in multi-hop, non-cooperative wireless networks from a game-theoretic point of view. We first present a strategic game model for this problem and demonstrate the existence of Nash Equilibrium (NE) in an anarchical scenario. Since a NE is not an ideal solution, we then propose AMPLE, a novel incentive approach to guarantee the system performance at high level. Since the problem of channel allocation in multiple collision domains is NP-complete, we first present an approximate algorithm that gives an allocation with good system performance. We then design a charging scheme that guarantees the system to converge to a Dominant Strategy Equilibrium (DSE), in which it is to the best interest of each node to follow the computed channel allocation, regardless how the others behave. Numerical results verify that AMPLE does prevent nodes’ misbehavior, and achieves much higher average system throughputs than anarchical NEs.

This work was supported in part by China NSF grant 61170236 and 61133006. The opinions, findings, conclusions, and recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of the funding agencies or the government.

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Wu, C., Wu, F., Chen, G., Sheng, B. (2012). AMPLE: A Novel Incentive Approach to Adaptive-Width Channel Allocation in Multi-hop, Non-cooperative Wireless Networks. In: Wang, X., Zheng, R., Jing, T., Xing, K. (eds) Wireless Algorithms, Systems, and Applications. WASA 2012. Lecture Notes in Computer Science, vol 7405. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31869-6_4

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  • DOI: https://doi.org/10.1007/978-3-642-31869-6_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31868-9

  • Online ISBN: 978-3-642-31869-6

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