Abstract
Despite the abundant research on energy-efficient rate scheduling polices in energy harvesting communication systems, few works have exploited data sharing among multiple applications to further enhance the energy utilization efficiency, considering that the harvested energy from environments is limited and unstable. In this paper, to overcome the energy shortage of wireless devices at transmitting data to a platform running multiple applications/requesters, we design rate scheduling policies to respond to data requests as soon as possible by encouraging data sharing among data requests and reducing the redundancy. We formulate the problem as a transmission completion time minimization problem under constraints of dynamical data requests and energy arrivals. We develop offline and online algorithms to solve this problem. For the offline setting, we discover the relationship between two problems: the completion time minimization problem and the energy consumption minimization problem with a given completion time. We first derive the optimal algorithm for the min-energy problem and then adopt it as a building block to compute the optimal solution for the min-completion-time problem. For the online setting without future information, we develop an event-driven online algorithm to complete the transmission as soon as possible. Simulation results validate the efficiency of the proposed algorithm.
Highlights
Energy harvesting from environments has been explored and implemented as an alternative to supplement or even replace batteries in modern wireless communication systems [1]
We investigate the optimal rate scheduling policies by exploiting the data sharing for energy harvesting communication devices so as to transmit the required data of requests with the minimum completion time
Yang et al are among the first group to develop packet transmission policies that take into account the dynamic arrivals of data packets in energy harvesting communication systems [15,16]
Summary
Energy harvesting from environments has been explored and implemented as an alternative to supplement or even replace batteries in modern wireless communication systems [1]. The remaining data amount of request J1 is satisfied by transmitting 2x sensed data in time interval [τ + 1, 2τ ] This schedule reduces the completion time by exploiting data sharing, it is not the optimal one. We investigate the optimal rate scheduling policies by exploiting the data sharing for energy harvesting communication devices so as to transmit the required data of requests with the minimum completion time. This paper introduces a rate scheduling problem for energy harvesting wireless devices that transmit required data of requests with the goal of minimizing the completion time.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
