Abstract
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.
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Acknowledgments
This work is partially supported by the National Natural Science Foundation of China (NSFC) under Grant No. 61272456,61472312 and 61502374. This work is also supported by the National Science and Technology Pillar Program during the 12th Five-year Plan Period (2014BAJ01B01), the Overall innovation project of Shaanxi province science and technology plan (2012KTZD02-03-03), the Fundamental Research Funds for the Central Universities under project No. BDY041409K5051323005, JB151002 and K5051323003 (Xidian University).
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Liu, S., Du, J., Yang, X., Li, R., Liu, H., Sha, K. (2016). CrowdBlueNet: Maximizing Crowd Data Collection Using Bluetooth Ad Hoc Networks. In: Yang, Q., Yu, W., Challal, Y. (eds) Wireless Algorithms, Systems, and Applications. WASA 2016. Lecture Notes in Computer Science(), vol 9798. Springer, Cham. https://doi.org/10.1007/978-3-319-42836-9_32
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DOI: https://doi.org/10.1007/978-3-319-42836-9_32
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