2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) 2019
DOI: 10.1109/pimrc.2019.8904137
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Analysis of Link Loss in Wireless Mesh Networks Based on Field Trials in Disaster Communication Scenarios

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Cited by 2 publications
(3 citation statements)
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“…Transceivers would log reception of beacons and GPS position, from which it is straight forward to deduce the link connection states and link distances, as illustrated in Figure 1, where crosses mark the position of a transceiver, red lines indicate the movement of the transceiver since the previous measurement and the grey lines indicate connections. For further details on the measurement campaign, refer to [12]. Applying the maximum likelihood estimator on the data yields the values in Table I.…”
Section: Model Calibration and Discussionmentioning
confidence: 99%
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“…Transceivers would log reception of beacons and GPS position, from which it is straight forward to deduce the link connection states and link distances, as illustrated in Figure 1, where crosses mark the position of a transceiver, red lines indicate the movement of the transceiver since the previous measurement and the grey lines indicate connections. For further details on the measurement campaign, refer to [12]. Applying the maximum likelihood estimator on the data yields the values in Table I.…”
Section: Model Calibration and Discussionmentioning
confidence: 99%
“…missing data due to a disconnected link, where the signal strength had fallen below the measurement equipment sensitivity. While this might lead to adequate modeling of the non-censored links, the connectivity might be overestimated [12].…”
Section: Introductionmentioning
confidence: 99%
“…Nevertheless, WMNs are more structured than ad hoc networks and can support more complex protocols and routing metrics [7][8][9][10][11][12][13][14]. Furthermore, WMNs allow the interconnection with other types of networks such as wireless local area networks, cellular networks, metropolitan area networks, vehicular networks [15], sensor networks, disaster scenarios [16][17][18][19], smart grid networks, and personal and body area networks [20,21] and the global Internet [22,23].…”
Section: Introductionmentioning
confidence: 99%