Development of an Event-Priority-Driven Dissemination (EPDD) Management Algorithm for Self-powered Sensor Node

This paper introduces a novel energy-aware Event-Priority-Driven Dissemination EPDD algorithm for low-power wireless sensor node; targeted to overcome event trigger flaws when powered by dual source energy harvester. The EPDD algorithm functions to keep the sensor node in low-power mode to conserve energy, and will wake up only to update the base-station, but only limited to three main cases: 1) internal timer has expired, 2) power supply status change triggers an external interrupt, or 3) an event of interest is captured by an external interrupt. Thus, the base-station will always be aware about the sensor node issues, and should easily differentiate between a non-triggered node and a down node. The findings in this study prove that the proposed EPDD can lower the node power consumption more effectively compared to the data push algorithm, since it can operate for 22 hours longer than the data push. Moreover, the proposed EPDD outpaces the event trigger algorithm in the base-station awareness as it is able to detect the offline EPDD sensor node with 1.5 hours less operating time than the event trigger.