Abstract
AbstractBattery-Free Wireless Sensor Network (BF-WSN) is a new energy harvesting technology that has been successfully integrated into Wireless Sensor Networks (WSNs). It allows sensor batteries to be charged using renewable energy sources. Sensor nodes in BF-WSNs are no longer constrained by the equipped batteries, but rather by the amount of energy harvested from their surroundings. In sensor networks, data aggregation is a fundamental procedure in which sensory data collected by relay nodes is merged using in-network computation. The Minimum Latency Aggregation Scheduling (MLAS) problem, which has been widely studied in battery-powered WSNs, is always a critical issue in WSNs. Modern approaches used in battery-powered WSNs, on the other hand, are incompatible with the use of BF-WSNs due to the limited energy harvesting capabilities of battery-free sensor nodes. In this paper, we investigate the MLAS problem in BF-WSNs. Leveraging the energy harvesting ability of the battery-free sensor nodes, we propose an approach that assigns more senders to relay nodes having high energy harvesting rates and schedules nodes whenever are ready for energy capacity data transmissions. Through extensive simulations, our proposed scheme surpasses the modern approach at most 40% in terms of aggregation delay.KeywordsInternet of thingsWireless sensor networkData aggregationEnergy harvestingBattery-free
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