Predicting Performance of Channel Assignments in Wireless Mesh Networks through Statistical Interference Estimation

Kala, S M and Reddy, M P K and Tamma, Bheemarjuna Reddy (2015) Predicting Performance of Channel Assignments in Wireless Mesh Networks through Statistical Interference Estimation. In: Electronics, Computing and Communication Technologies (CONECCT), 10-11, July 2015, Bangalore.

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Wireless Mesh Network (WMN) deployments are poised to reduce the reliance on wired infrastructure especially with the advent of the multi-radio multi-channel (MRMC) WMN architecture. But the benefits that MRMC WMNs offer viz., augmented network capacity, uninterrupted connectivity and reduced latency, are depreciated by the detrimental effect of prevalent interference. Interference mitigation is thus a prime objective in WMN deployments. It is often accomplished through prudent channel allocation (CA) schemes which minimize the adverse impact of interference and enhance the network performance. However, a multitude of CA schemes have been proposed in research literature and absence of a CA performance prediction metric, which could aid in the selection of an efficient CA scheme for a given WMN, is often felt. In this work, we offer a fresh characterization of the interference endemic in wireless networks. We then propose a reliable CA performance prediction metric, which employs a statistical interference estimation approach. We carry out a rigorous quantitative assessment of the proposed metric by validating its CA performance predictions with experimental results, recorded from extensive simulations run on an ns-3 802.11g environment.

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IITH Creators:
IITH CreatorsORCiD
Tamma, Bheemarjuna ReddyUNSPECIFIED
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: channel allocation, interference suppression, radiofrequency interference, statistical analysis, wireless LAN, wireless channels, wireless mesh networks
Subjects: Computer science > Big Data Analytics
Divisions: Department of Computer Science & Engineering
Depositing User: Library Staff
Date Deposited: 13 May 2016 11:04
Last Modified: 07 Sep 2017 09:43
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