Efficient detection of motion-trend predicates in wireless sensor networks
Efficient detection of motion-trend predicates in wireless sensor networks
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DOI：
10.1016/j.comcom.2016.08.012
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发表时间：
2017-03
期刊：
影响因子：
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通讯作者：
Besim Avci;Goce Trajcevski;R. Tamassia;P. Scheuermann;Fan Zhou
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文献类型：
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作者：
Besim Avci;Goce Trajcevski;R. Tamassia;P. Scheuermann;Fan Zhou
This work addresses the problem of efficient distributed detection of predicates capturing the motion trends of mobile objects evaluated with respect to a (boundary of a) polygonal region, in the settings in which the(location, time)data is obtained via tracking in Wireless Sensor Networks (WSN). Specifically, we discuss in-network distributed algorithms for detecting two motion-trend predicates:Continuously Moving TowardsandPersistently Moving Towards: first for a single object, and then the corresponding variants for multiple objects. We also present methodologies which consider the energy vs. latency trade-offs when multiple tracked objects are being considered for validating the monitored predicates. Our experiments demonstrate that our proposed technique yield substantial energy savings when compared to the naïve centralized and cluster-based approaches in which the raw(location, time)data is transmitted to a dedicated sink where the predicates are being evaluated.
