CRAWDAD dataset tuc/mysignals (v. 2019-10-30)
收藏DataCite Commons2023-02-09 更新2024-07-13 收录
下载链接:
https://ieee-dataport.org/open-access/crawdad-tucmysignals
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资源简介:
MySignals dataset was collected by a network of approx. 10 mobile smartphone (iPhones) users via the MySignals iPhone App (www.mysignals.gr) for a period of approximately 8 months. MySignal App records the received signal strength indicator (RSSI), in dBm, of the mobile serving cell, as well as their own location, through the GPS module of their smartphone and other contextual information (timestamp, deviceID etc.). Measurements and relevant information (e.g. cell ID, downlink carrier frequency and mobile user location) are saved temporarily in a local sqlite DB and uploaded periodically at a central web server DB for permanent storage. The systems allowed crowdsourcing in an automated and user transparent-way. The published data contains approximately 3 million GSM measurements and they are a subset of the entire MySignals dataset, utilized primarily for RF Source (e.g. GSM Base Station) localization case study and localization algorithm development. The reported measurements were collected in Chania, Greece for one central Base Stations (BS) for a major Greek Cellular provider. The massive dataset along with the novel Particle Filtering localization algorithm, allowed RF source location estimation error on the order of 50m, with the phones-sensors located in a grid of approx. 1000m x 1000m. Although the reported data were primarily used for BS localization, they were also used as mobile coverage maps; for example, coverage holes were able to be discovered. At a glance, each of the recorded measurements contains the following fields: timestamp, iPhoneUUID, RSS1, RSS5, latitude, longitude, accuracy, cellID, lac, mac, arfcn, etc.
提供机构:
Community Resource for Archiving Wireless Data at Dartmouth (CRAWDAD)
创建时间:
2019-11-04



