Proceedings of the 14th ACM International Conference on Mobile Computing and Networking 2008
DOI: 10.1145/1409944.1409967
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Assessment of urban-scale wireless networks with a small number of measurements

Abstract: In order to evaluate, improve, or expand a deployed, citywide wireless mesh network, it is necessary to assess the network's spatial performance. In this paper, we present a general framework to accurately predict a network's wellserved area, termed the metric region, via a small number of measurements. Assessment of deployed networks must address two key issues: non-uniform physical-layer propagation and high spatial variance in performance. Addressing nonuniformity, our framework estimates a mesh node's metr… Show more

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Cited by 68 publications
(65 citation statements)
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“…Another interesting study is the Google Wi-Fi network presented in [24,25]. It evaluates different aspects of a metropolitan area mesh network.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…Another interesting study is the Google Wi-Fi network presented in [24,25]. It evaluates different aspects of a metropolitan area mesh network.…”
Section: Related Workmentioning
confidence: 99%
“…It evaluates different aspects of a metropolitan area mesh network. It estimates the coverage properties of the Google Wi-Fi mesh network [25] and presents the usage characteristics for different user devices in the same Google Wi-Fi network [24]. This study of the Google Wi-Fi network provides a greater understanding of a metropolitan area Wi-Fi mesh.…”
Section: Related Workmentioning
confidence: 99%
“…Terrain-Based Model (Terrain) [29]: This model uses terrain information to capture the nonuniformity of radio propagation caused by different terrains. It divides a transmitter's coverage area into sectors and applies a terrain-specific shadowing factor in each sector.…”
Section: A Propagation Models and Calibrationmentioning
confidence: 99%
“…It divides a transmitter's coverage area into sectors and applies a terrain-specific shadowing factor in each sector. Our calibration follows the procedure in [29]. Since we do not have terrain information (street, buildings, etc.)…”
Section: A Propagation Models and Calibrationmentioning
confidence: 99%
See 1 more Smart Citation