Abstract
Passive monitoring is a technique where a dedicated set of hardware devices called sniffers, are used to monitor activities in wireless networks. Distributed sniffers cooperatively monitor PHY and MAC characteristics, and interactions at various layers of the protocol stacks, both within a managed network and across multiple administrative domains. One important issue in designing a monitoring network is to determine which set of frequency bands each sniffer should operate on to maximize the total amount of information gathered. In this chapter, we discuss the sniffer-channel assignment problem in multichannel wireless networks and its formulation as a stochastic MAB problem. Compared to the basic stochastic MAB problem, the key challenge lies in the consideration of correlations among multiple sniffers’ observations. We present efficient learning algorithms and their regret bounds. Important issues that often arise from practical deployments such as switching overhead and computation efficiency are also considered.
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- 1.
Certain chip sets and device drivers allow inclusion of header fields to store a few physical layer parameters in the MAC frames. However, such implementations are generally vendor and driver dependent.
- 2.
A channel can be a single frequency band, a code in CDMA systems, or a hopping sequence in frequency hopping systems.
- 3.
Clock synchronization among sniffers can be achieved online or offline using methods such as in [EGE02].
- 4.
EXP3.1 is a variation of Exp3 algorithm introduced in Chap. 4.
- 5.
In 802.11a networks, there are 8 orthogonal channels in 5.18–5.4 GHz, and one in 5.75 GHz.
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Zheng, R., Hua, C. (2016). Sniffer-Channel Assignment in Multichannel Wireless Networks. In: Sequential Learning and Decision-Making in Wireless Resource Management. Wireless Networks. Springer, Cham. https://doi.org/10.1007/978-3-319-50502-2_6
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DOI: https://doi.org/10.1007/978-3-319-50502-2_6
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