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首页> 外文期刊>Communications, IEEE Transactions on >Energy Management Policies for Energy-Neutral Source-Channel Coding
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Energy Management Policies for Energy-Neutral Source-Channel Coding

机译：能量中性源通道编码的能量管理策略

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摘要

In cyber-physical systems where sensors measure the temporal evolution of a given phenomenon of interest and radio communication takes place over short distances, the energy spent for source acquisition and compression may be comparable with that used for transmission. Additionally, in order to avoid limited lifetime issues, sensors may be powered via energy harvesting and thus collect all the energy they need from the environment. This work addresses the problem of energy allocation over source acquisition/compression and transmission for energy-harvesting sensors. At first, focusing on a single-sensor, energy management policies are identified that guarantee a minimum average distortion while at the same time ensuring the stability of the queue connecting source and channel encoders. It is shown that the identified class of policies is optimal in the sense that it stabilizes the queue whenever this is feasible by any other technique that satisfies the same average distortion constraint. Moreover, this class of policies performs an independent resource optimization for the source and channel encoders. Suboptimal strategies that do not use the energy buffer (battery) or use it only for adapting either source or channel encoder energy allocation are also studied for performance comparison. The problem of optimizing the desired trade-off between average distortion and backlog size is then formulated and solved via dynamic programming tools. Finally, a system with multiple sensors is considered and time-division scheduling strategies are derived that are able to maintain the stability of all data queues and to meet the average distortion constraints at all sensors whenever it is feasible.
机译：在传感器测量特定给定现象的时间演变并且无线电通信发生在短距离上的网络物理系统中，用于源采集和压缩的能量可能与用于传输的能量相当。另外，为了避免有限的使用寿命问题，可以通过能量收集为传感器供电，从而从环境中收集它们所需的所有能量。这项工作解决了能量收集传感器在能量采集/压缩和传输过程中的能量分配问题。首先，着眼于单个传感器，确定了能量管理策略，这些策略可确保最小的平均失真，同时确保连接源编码器和通道编码器的队列的稳定性。从确定的策略类别的角度来看，从某种意义上说，它是最佳的，只要它可以通过满足相同平均失真约束的任何其他技术在可行的情况下稳定队列。此外，此类策略对源编码器和通道编码器执行独立的资源优化。为了性能比较，还研究了不使用能量缓冲器（电池）或仅将其用于调整源或通道编码器能量分配的次优策略。然后，通过动态编程工具制定并解决了优化平均失真和积压大小之间所需折衷的问题。最后，考虑了具有多个传感器的系统，并推导了时分调度策略，该策略能够维持所有数据队列的稳定性，并在可行时满足所有传感器的平均失真约束。

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