Mobility Coordination of Participants in Mobile CrowdSensing Platforms with Spatio-Temporal Tasks
Mobility Coordination of Participants in Mobile CrowdSensing Platforms with Spatio-Temporal Tasks
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DOI：
10.1145/3345770.3356734
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发表时间：
2019-11
期刊：
影响因子：
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通讯作者：
Christine Bassem
中科院分区：
文献类型：
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作者：
Christine Bassem
随着城市环境中越来越多地采用移动的CrowdSensing平台，可以协调已经在现场漫游的参与自我激励的人群的移动性，以帮助完成时空感测任务。在这项工作中，我们建议利用这些平台内的流动性的可预测性，再加上流动领域的时空任务的可用性，为参与者实时推荐路线。在本文中，我们定义了时间覆盖中心性的图论度量，以及采用分布式系统的技术，定义了三个在线路由推荐机制，可用于协调MCS平台内的参与者的移动性，以优化系统性能。此外，我们经验性地评估了所提出的机制的效率，并深入了解了它们的好处。
With the increased adoption of Mobile CrowdSensing platforms in urban environments, the mobility of participating self-motivated crowds already roaming in the field can be coordinated to assist in completing spatio-temporal sensing tasks. In this work, we propose to utilize the mobility predictability within such platforms, coupled with the availability of spatio-temporal tasks on the mobility field, to recommend routes for participants in real-time. In this paper, we define the graph-theoretic measure of Temporal Coverage Centrality, as well as adopt techniques from distributed systems to define three online route recommendation mechanisms, which can be used to coordinate the mobility of participants within MCS platforms to optimize system performance. Moreover, we empirically evaluate the efficiency of the proposed mechanisms with an insight on their benefits.