Paper Info
Title
Quick (and Dirty) Aggregate Queries on Low-Power WANs
Abstract
Low-Power Wide-Area Networks (LP-WANs) are seeing wide-spread deployments connecting millions of sensors, each powered by a ten-year AA battery to radio infrastructure, often miles away. By design, iteratively querying all sensors in an LP-WAN may take several hours or even days, given the stringent battery limits of client radios. This precludes obtaining even an approximate real-time view of sensed information across LP-WAN devices over a large area, say in the event of a disaster, fault or simply for diagnostics.This paper presents QuAiL <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> , a system that provides a coarse aggregate view of sensed data across LP-WAN devices over a wide- area within a time span of just one LP-WAN packet. QuAiL achieves this by coordinating multiple LP-WAN radios to transmit their information synchronously in time and frequency despite their power constraints. We design each client’s transmission so that the base station can retrieve an approximate heatmap of sensed data by exploiting the spatial correlation of this data across clients. We further show how our system can be optimized for statistical and machine learning queries, all while maintaining the security and privacy of sensed data from individual clients. Our deployment over a 3 sq. km. LP-WAN deployment around CMU campus in Pittsburgh demonstrates a 4x faster information retrieval versus the state-of- the-art statistical methods to retrieve the spatial sensor heatmap at a desired resolution.
Year
DOI
Venue
2020
10.1109/IPSN48710.2020.00031
2020 19th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)
Keywords
DocType
ISBN
• Computer systems organization → Sensor networks,• Networks → Network protocol design.
Conference
978-1-7281-5498-5
Citations 
PageRank 
References 
2
0.36
0
Authors
5
Name
Order
Citations
PageRank
Akshay Gadre1103.64
Fan Yi220.36
Anthony Rowe387877.76
Bob Iannucci44110.62
Swarun Kumar539335.36