Wireless Sensor with Data and Energy Packets (original) (raw)
We study an energy harvesting wireless sensor node which harvests energy and senses and transmits data. Both data and energy are represented as discrete quantities using the previously introduced in " Energy Packet Network " paradigm. For each data packet, the sensor requires and consumes Ke energy packets for sensing and storage and Kt energy packets for transmission. Assuming random processes for sensing and energy harvesting, we obtain a two-dimensional random walk model and reduce its complexity using companion matrices and matrix algebra techniques. The resulting solution allows us to obtain, in steady-state, all the metrics of interest such as the backlog of energy and data in the sensor. We also consider the case when M sensors operate in proximity and create some interference for each other.
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