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2015 | OriginalPaper | Chapter

1. Modeling and Evaluation of Backoff Misbehaving Nodes in CSMA/CA Networks

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Abstract

With the advancement with flexible and configurable wireless adapters, it becomes feasible for a node to modify its low-layer (e.g. physical or MAC layer) parameters, which can substantially affect the network performance of a wireless network. Backoff misbehavior, in which a 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 chapter, to assess the gain that misbehaving nodes can obtain, we introduce a new metric, namely order gain, to characterize the performance benefits of misbehaving nodes in comparison to legitimate nodes in CSMA/CA-based wireless networks. We derive the order gains of a variety of misbehaviors and further investigate the relation between our metric, order gain, and the throughput gain for a misbehaving node. We show that in IEEE 802.11 networks, the throughput ratio of a backoff misbehaving node to a legitimate node is either bounded above or proportional to the number of legitimate nodes. We use both simulations and experiments to validate our theoretical analysis and to further demonstrate the impact of a wide range of backoff misbehaviors on network performance in CSMA/CA-based wireless networks.

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Footnotes
1
The length of an idle slot varies upon different standards. For example, the durations of an idle slot is 20 μs in IEEE 802.11b for direct sequence spread spectrum (DSSS), and is 9 μs in IEEE 802.11g for orthogonal frequency-division multiplexing (OFDM) with 20 MHz channel spacing.
 
2
The minimum contention window is the initial value of the contention window. For example, the minimum contention window is 32 in IEEE 802.11b for DSSS.
 
3
The order gain of waiting time will be simplified as order gain thereafter; unless specified otherwise.
 
4
Throughout this chapter, we define the collision probability of a node as the probability that there is at least one other node transmitting when the node sends a packet. We also assume that it always holds that a collision probability is in (0,1) for our analytical analysis.
 
5
We say function f(x) is of the same order as function g(x) and write \(f(x) =\varTheta (g(x))\) if and only if there exist two positive real numbers c 1 and c 2 and a real number x 0 such that c 1 |g(x)|≤|f(x)|≤ c 2 |g(x)| for all x > x 0.
 
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Metadata
Title
Modeling and Evaluation of Backoff Misbehaving Nodes in CSMA/CA Networks
Authors
Zhuo Lu
Wenye Wang
Cliff Wang
Copyright Year
2015
DOI
https://doi.org/10.1007/978-3-319-23288-1_1

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