PROJECT TITLE :
Urban Resolution: New Metric for Measuring the Quality of Urban Sensing
The rising popularity of smartphones and vehicles equipped with onboard sensors sheds lights on building a town-scale sensing system for urban surveillance. This paper proposes a novel metric, urban resolution, to measure the quality of urban sensing. Urban resolution describes how sensitivity the urban sensing system could achieve for surroundings monitoring applications. Then, we study the relationship between resolution and range of sensing nodes , and reveal the linear growth relationship between and . Furthermore, by using a commonly used human/vehicle mobility model, SLAW, we notice that the distribution model of urban sensing nodes is ready to be described by a truncated Pareto distribution, and derive the complementary cumulative distribution function (CCDF) of urban resolution. The CCDF reveals the radio of the sub-regions which satisfy the specified sensing quality to the full region. Our findings give valuable insights to infer the urban sensing quality consistent with the scale of urban sensing system or verify how several smartphone/vehicles required for participating in urban sensing applications. Finally, based mostly on 5 real datasets—three human/vehicle trajectory datasets and two surroundings monitoring datasets, we tend to examine the metric of urban resolution and evaluate the main ends up in this paper.
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