CRAWDAD nottingham/mall
收藏DataCite Commons2022-11-29 更新2025-04-16 收录
下载链接:
https://ieee-dataport.org/open-access/crawdad-nottinghammall
下载链接
链接失效反馈官方服务:
资源简介:
Bluetooth contact traces from shop employees of a shopping mall over six days.This is a dataset of real-world Bluetooth contact data colected from shop employees of a shopping mall over six days.date/time of measurement start: 2012-06-22date/time of measurement end: 2009-06-15collection environment: The experiment was conducted on a shopping mall, which has a surface area of 10,880 square meters (without considering the parking area). 17 mobile devices were given to shopkeepers, and 8 devices were static, placed in fixed locations. The devices were deployed in 1 store, 11 shops, and 1 bar. network configuration: The devices used to collect data in this experiment are smart phones running symbianOS and using Bluetooth technology.data collection methodology: For six days the devices were all collecting data from around 9:15 a.m. to around 8:45 p.m. 4 of the sellers closed their shops between 1 p.m. and 4:30 p.m., left shops, and went home. These were asked to leave the smart phones in their shops and carry them on themselves when they came back to work.Tracesetnottingham/mall/mobilityBluetooth contact traces from shop employees of a shopping mall over six days.file: ShoppingMall.tar.gzdescription: This is a traceset of real-world Bluetooth contact data colected from shop employees of a shopping mall over six days.measurement purpose: User Mobility Characterizationj, Routing Protocol for DTNs (Disruption Tolerant Networks), Opportunistic Connectivitymethodology: We carried out neighbor discovery approximately every 120 seconds and logged the results. The Bluetooth 1.1 specification states that inquiry process for neighbor discovery should last about ten seconds. Clock synchronization was carried out manually.nottingham/mall/mobility Tracebluetooth: This is a traceset of real-world Bluetooth contact data collected from shop employees of a shopping mall over six days.configuration: We carried out neighbor discovery approximately every 120 seconds and logged the results. Clock synchronization was carried out manually.format: There is a log corresponding to each smart phone. The format of each line is: scan time, the phone's MAC address, and all detected MAC addresses. The time is in seconds and starts at midnight of the first day of data collection. A few phones had time set in a different time zone, one hour faster, so these logs start after 10 a.m., or 36000 seconds, and need to be synchronized an hour back.
提供机构:
IEEE DataPort
创建时间:
2022-11-29



