A MARKOV-MODULATED DIFFUSION MODEL FOR ENERGY HARVESTING SENSOR NODES

作者：Abdelrahman Omer H^*

来源：Probability in the Engineering and Informational Sciences, 2017, 31(4): 505-515.

DOI：10.1017/S0269964817000158

• energy depletion
• energy harvesting
• diffusion process
• first-passage time
• internet of things
• self-sustainability

This paper presents a probability model of an energy-harvesting wireless sensor node, with the objective of linking quality of sensed data to energy consumption and self-sustainability. The model departs from the common energy discretization framework used in the literature, and instead uses a diffusion process modulated by discrete packet arrival and transmission processes for the detailed representation of renewable energy supply, consumption and storage. An analytical-numerical method is developed to compute the average time until the node experiences an outage, due to lack of energy, for a given workload and ambient energy characteristics, battery capacity and initial charge. The results are illustrated with numerical examples.

• 出版日期2017-10