The Cloud Meets the Crowd: Framework for Distributed Cloud Sensing
نویسندگان
چکیده
Distributed sensing applications have become feasible on a large-scale due to the proliferation of both new and existing connected devices in all walks of human life. However, this cloud of physical sensors must be designed and deployed in an ad-hoc or case-by-case basis due to today’s individual-device oriented and imperative programming paradigm. Moreover, the high heterogeneity in device mobility, availability and capability make these paradigms difficult to implement in existing mobile systems or future systems like SensorFly. We propose the need for a general framework for the design, device mapping, and dynamic management of distributed crowd-sourced sensing applications.
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