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

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.