Mobility Coordination of Participants in Mobile CrowdSensing Platforms with Spatio-Temporal Tasks

Christine Bassem
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引用次数: 5

Abstract

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.
时空任务下移动众测平台参与者的移动性协调
随着移动CrowdSensing平台在城市环境中的应用越来越多,可以协调已经在野外漫游的自我激励人群的移动性,以协助完成时空传感任务。在这项工作中,我们建议利用这些平台内的移动性可预测性,再加上移动性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,并采用分布式系统技术定义了三种在线路由推荐机制,用于协调MCS平台内参与者的移动性,以优化系统性能。此外,我们通过经验评估了所提出的机制的效率,并深入了解了它们的效益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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