On Order Gain of Backoff Misbehaving Nodes in CSMA/CA-based Wireless Networks

Zhuo Lu, Wenye Wang, Cliff X. Wang
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引用次数: 12

Abstract

Backoff misbehavior, in which a wireless node deliberately manipulates its backoff time, can induce significant network problems, such as severe unfairness and denial-of-service. Although great progress has been made towards the design of countermeasures to backoff misbehavior, little attention has been focused on quantifying the gain of backoff misbehaviors. In this paper, we define and study two general classes of backoff misbehavior to assess the gain that misbehaving nodes can obtain. The first class, called continuous misbehavior, keeps manipulating the backoff time unless it is disabled by countermeasures. The second class is referred to as intermittent misbehavior, which tends to evade the detection by countermeasures by performing misbehavior sporadically. Our approach is to introduce a new performance metric, namely order gain, which is to characterize the performance benefits of misbehaving nodes in comparison to legitimate nodes. Through analytical studies, simulations, and experiments, we demonstrate the impact of a wide range of backoff misbehaviors on network performance with respect to the number of users in CSMA/CA-based wireless networks.
基于CSMA/ ca的无线网络中退避不良节点的阶增益研究
退避不当行为是指无线节点故意操纵退避时间,这种行为会引发严重的网络问题,比如严重的不公平和拒绝服务。虽然在设计退避不当行为的对策方面已经取得了很大的进展,但对退避不当行为收益的量化研究却很少。在本文中,我们定义并研究了两类一般的回退不当行为,以评估不当行为节点可以获得的增益。第一类被称为连续不当行为,它会持续操纵退避时间,除非被对策禁用。第二类被称为间歇性不当行为,它倾向于通过偶尔执行不当行为来逃避对策的检测。我们的方法是引入一个新的性能指标,即顺序增益,它用来描述与正常节点相比,行为不端的节点的性能优势。通过分析研究、模拟和实验,我们证明了在基于CSMA/ ca的无线网络中,相对于用户数量,广泛的回退不当行为对网络性能的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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