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—The Internet of Things continues to expand from traditional homogeneous technologies with low resources to increasingly heterogeneous and resource rich technologies. An emerging domain in this respect is the use of mobile phones to monitor and process events. Moreover, there is increasing interest in expanding the application domains, such as to smart(More)
With the rise of smartphone platforms, adaptive sensing becomes an predominant key to overcome intricate constraints such as smartphone's capabilities and dynamic data. One way to do this is estimating the event probability based on anomaly detection to invoke heavy processes, such as switching on more sensors or retrieving information. However, most(More)
Mobile crowdsensing is power hungry since it requires continuously and simultaneously sensing, processing and uploading fused data from various sensor types including motion sensors and environment sensors. Realizing that being able to pinpoint change points of contexts enables energy-efficient mobile crowdsensing, we modify histogram-based techniques to(More)
—The emerging wave of technology in human-centric devices such as smart phones, tablets, and other small wearable sensor modules facilitates pervasive systems and applications to be economically deployed on a large scale with human participation. To exploit such environment, data gathering and dissemination based on opportunistic contact times among humans(More)
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