Energy Management Policies for Energy-Neutral Source-Channel Coding

Abstract

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 maximal 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. Analog transmission techniques as well as 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 delay 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.

arXiv commentSubmitted to IEEE Transactions on Communications in March 2011; last update in July 2011

References in corpus (4)

• Optimal Energy Management Policies for Energy Harvesting Sensor Nodes
• Information-Theoretic Analysis of an Energy Harvesting Communication System
• Dynamic Compression-Transmission for Energy-Harvesting Multihop Networks with Correlated Sources
• Capacity of Fading Gaussian Channel with an Energy Harvesting Sensor Node

Cited by in corpus (10)

• Energy Harvesting Wireless Communications: A Review of Recent Advances
• Energy Management and Cross Layer Optimization for Wireless Sensor Network Powered by Heterogeneous Energy Sources
• Source-Channel Coding under Energy, Delay and Buffer Constraints
• Stochastic Routing and Scheduling Policies for Energy Harvesting Communication Networks
• AWGN Channel Capacity of Energy Harvesting Transmitters with a Finite Energy Buffer
• On the Energy/Distortion Tradeoff in the IoT
• Energy-Neutral Source-Channel Coding with Battery and Memory Size Constraints
• Joint Retransmission, Compression and Channel Coding for Data Fidelity under Energy Constraints
• Information Capacity of an Energy Harvesting Sensor Node
• Power Allocation and Transmitter Switching for Broadcasting with Multiple Energy Harvesting Transmitters