Panda: Neighbor Discovery on a Power Harvesting Budget
Robert Margolies, Guy Grebla, Tingjun Chen, Dan Rubenstein, and Gil, Zussman

TL;DR
This paper introduces Panda, an energy-efficient neighbor discovery protocol tailored for energy harvesting low-power nodes, demonstrating significant improvements in discovery rate and adaptability to non-homogeneous power conditions through extensive real-world testing.
Contribution
The paper presents Panda, a novel neighbor discovery protocol optimized for energy harvesting devices, including a generalized model, parameter analysis, and a variant for non-homogeneous nodes, validated by testbed experiments.
Findings
Panda achieves up to 3x higher neighbor discovery rate compared to existing protocols.
Experimental results closely match analytical models with less than 2% difference.
Panda-D effectively operates under non-homogeneous energy harvesting conditions.
Abstract
Object tracking applications are gaining popularity and will soon utilize Energy Harvesting (EH) low-power nodes that will consume power mostly for Neighbor Discovery (ND) (i.e., identifying nodes within communication range). Although ND protocols were developed for sensor networks, the challenges posed by emerging EH low-power transceivers were not addressed. Therefore, we design an ND protocol tailored for the characteristics of a representative EH prototype: the TI eZ430-RF2500-SEH. We present a generalized model of ND accounting for unique prototype characteristics (i.e., energy costs for transmission/reception, and transceiver state switching times/costs). Then, we present the Power Aware Neighbor Discovery Asynchronously (Panda) protocol in which nodes transition between the sleep, receive, and transmit states. We analyze \name and select its parameters to maximize the ND rate…
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Taxonomy
TopicsEnergy Harvesting in Wireless Networks · Energy Efficient Wireless Sensor Networks · Indoor and Outdoor Localization Technologies
