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Joltik: Enabling Energy-Efficient \ "Future-Proof" Analytics on Low-Power Wide-Area Networks

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posted on 16.09.2020 by Mingran Yang
Wireless sensors have enabled a number of key complications. Despite many advances in sensing, computation and wireless technologies, simultaneously achieving energy-efficiency, fidelity, and generality across many (possibly unforeseen) metrics, has remained elusive. To this end, this paper presents Joltik , a framework enabling
general and energy efficient analytics for low power wireless sensors. Joltik is built upon recent theoretical advances in universal sketching, which can enable a Joltik sensor node to report a compact summary of observed data to enable a large class of statistical summaries. We address key system design and implementation challenges with respect to communication, memory and computation bottlenecks that arise in practically realizing the potential benefits of universal sketching in the low-power regime. We present a proof-of-concept evaluation of Joltik in LoRaWAN NUCLEO-L476RG
boards and sensors and conduct experiments in a local testbed. Across a range of realistic datasets, Joltik provides significant reduction in energy cost compared to transmitting
raw data and outperforms many natural alternatives (e.g., sub-sampling, custom sketches, compressed sensing) in terms of energy-accuracy tradeoffs.

History

Date

11/05/2020

Degree Type

Master's Thesis

Department

Information Networking Institute

Degree Name

  • Master of Science (MS)

Advisor(s)

Vyas Sekar

Exports

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