Stochastic Optimal Control for Participatory Sensing Systems with Heterogenous Requests


We have a tendency to contemplate the crucial drawback of maximizing the system-wide performance which takes into consideration request processing throughput, smartphone user expertise and system stability in a very participatory sensing system with cooperative smartphones. 3 necessary controls want to be made, i.e., 1) request admission control, two) task allocation, and 3) task scheduling on smartphones. It's highly challenging to realize the optimal system-wide performance, given arbitrary unknown arrivals of sensing requests, intrinsic tradeoff between request processing throughput and smartphone user experience degradation, and heterogenous requests. Very little existing work has studied this significant downside of maximizing the system-wide performance of a participatory sensing system as an entire. In response to the challenges, we tend to propose an optimal on-line management approach to maximize the system-wide performance of a participatory sensing system. Exploiting the stochastic Lyapunov optimization techniques, it derives the optimal on-line management strategies for request admission management, task allocation and task scheduling on smartphones. The foremost salient feature of our approach is that the achieved system-wide performance is arbitrarily shut to the optimum, despite unpredictable and arbitrary request arrivals. Rigorous theoretical analysis and comprehensive simulation evaluation jointly demonstrate the efficacy of our online management approach.

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