Optimal finite horizon sensing for wirelessly powered devices

We are witnessing a significant advancements in the sensor technologies which has enabled a broad spectrum of applications. Often, the resolution of the produced data by the sensors significantly affects the output quality of an application. We study a sensing resolution optimization problem for a wireless powered device (WPD) that is powered by wireless power transfer (WPT) from an access point (AP). We study a class of harvest-first-transmit-later type of WPT policy, where an access point (AP) first employs RF power to recharge the WPD in the down-link, and then, collects the data from the WPD in the up-link. The WPD optimizes the sensing resolution, WPT duration and dynamic power control in the up-link to maximize an application dependant utility at the AP. The utility of a transmitted packet is only achieved if the data is delivered successfully within a finite time. Thus, we first study a finite horizon throughput maximization problem by jointly optimizing the WPT duration and power control. We prove that the optimal WPT duration obeys a time-dependent threshold form depending on the energy state of the WPD. In the subsequent data transmission stage, the optimal transmit power allocations for the WPD is shown to posses a channel-dependent fractional structure. Then, we optimize the sensing resolution of the WPD by using a Bayesian inference based multi armed bandit problem with fast convergence property to strike a balance between the quality of the sensed data and the probability of successfully delivering it

Wirelessly powered energy autonomous sensor networks

\u3cp\u3eFor wireless sensor networks, network life time is a critical aspect to the success of the system. Due to high maintenance costs, energy autonomous sensor networks are highly desirable. RF powering provides such a solution by charging the sensor nodes on the field. However, how to deploy such a kind of system efficiently is still left as an open question. This paper is motivated to formulate an answer to this question. Aiming at the critical infrastructure monitoring application, three network models are proposed and evaluated in terms of feasibility, energy efficiency, and hardware complexity.\u3c/p\u3

Wirelessly powered energy autonomous sensor networks

For wireless sensor networks, network life time is a critical aspect to the success of the system. Due to high maintenance costs, energy autonomous sensor networks are highly desirable. RF powering provides such a solution by charging the sensor nodes on the field. However, how to deploy such a kind of system efficiently is still left as an open question. This paper is motivated to formulate an answer to this question. Aiming at the critical infrastructure monitoring application, three network models are proposed and evaluated in terms of feasibility, energy efficiency, and hardware complexity