CrowdBlueNet: Maximizing Crowd Data Collection Using Bluetooth Ad Hoc Networks

摘要

Crowd management that aims to avoid tragedy like stampede has attracted lots of attention. Crowd management based on crowd traffic data is considered to be one of the most efficient approaches; however, it is challenging to collect accurate and sufficient crowd traffic data in a timely manner. This paper first models the crowd traffic data collection problem with the goals of Minimum Delay and Maximum Throughput (MD-MT); then a Bluetooth based data collection system, CrowdBlueNet is proposed to achieve both goals. CrowdBlueNet consists of novel approaches to construct routing table that enables efficient data transmission in the Bluetooth Ad Hoc network. The prototype based performance evaluation shows the effectiveness and efficiency of CrowdBlueNet.