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With the proliferation of Wi-Fi technology, many Wi-Fi networks are accessible from vehicles on the road making vehicular Wi-Fi access realistic. However, several challenges exist: long latency to establish connection to a Wi-Fi Access Point (AP), lossy link performance, and frequent disconnections due to mobility. The authors argue that people drive on familiar routes frequently, and thus the mobility and connectivity related information along their drives can be predicted with good accuracy using historical information - such as GPS tracks with timestamps, RF fingerprints, and link and network-layer addresses of visible APs.
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