We study a sensor node with an energy harvesting source. The generated energy can be stored in a buffer. The sensor node periodically senses a random field and generates a packet. These packets are stored in a queue and transmitted using the energy available at that time. We obtain energy management policies that are throughput optimal, i.e., the data queue stays stable for the largest possible data rate. Next we obtain energy management policies which minimize the mean delay in the queue. We also compare performance of several easily implementable sub-optimal energy management policies. A greedy policy is identified which, in low SNR regime, is throughput optimal and also minimizes mean delay.
Sharma et al. employed the stochastic queuing theory to model data, energy generation and storage processes, and proposed stable throughput-optimal and mean delay-optimal energy management policies REF .
Optimal Energy Management Policies for Energy Harvesting Sensor Nodes
ArXiv
ArXiv
Mathematics Computer Science