A Task Execution Framework for Cloud-Assisted Sensor Networks
Hai-Long Shi(石海龙), Dong Li(李 栋), Jie-Fan Qiu(邱杰凡), Chen-Da Hou(侯陈达) and Li Cui(崔 莉)
We propose a task execution framework, named sTaskAlloc, to execute application energy effciently by two main parts. First, considering that the energy consumption of an application is inversely proportional to the utilization rate of sensors, we present a hot sensor selection algorithm, HotTasking, to minimize the energy consumption of new added applications by selecting the most suitable sensor. Second, when a sensor is shared by multiple applications, proposed MergeOPT (a concurrent tasks optimization algorithm) is used to optimize energy consumption further by eliminating redundant sampling tasks.