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Smriti Chhaya

dblp:227/8105 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Internet of things and sensor networks · 77% Wireless sensing and localization · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet of things and sensor networks
environmental sensing
0.312018
Poster: Low Cost Platform Design for Pollution Measurement in Delhi-NCR using Vehicle-Mounted Sensors · MobiCom 2018
Wireless sensing and localization › GNSS-based sensing
GPS-based detection
0.112018
Poster: Low Cost Platform Design for Pollution Measurement in Delhi-NCR using Vehicle-Mounted Sensors · MobiCom 2018

Methods — techniques the papers use, named apart from their topics

embedded platform design · 0.3
YearPublicationVenuePosition
2018 Poster: Low Cost Platform Design for Pollution Measurement in Delhi-NCR using Vehicle-Mounted Sensors
abstract
This poster describes a low-cost and robust embedded platform, designed for vehicle mounted sensing of particulate matter (PM2.5 and PM10). The prototype is specifically designed to be mounted on the Delhi Integrated Multi-Modal Transit System (DIMTS) buses. Movement of the buses adds noise to pollution data. Error in GPS measurement causes issues in detecting moving vs. stationary state of the buses, useful to filter out noisy pollution data collected in the moving state. Intermittent cellular network connectivity causes frequent disconnects with the remote server. Our prototype is designed to handle such real world deployment challenges. Pilot deployment with this platform is currently ongoing. Preliminary data analysis from the pilot deployment will be discussed as part of the poster presentation, along with demonstration of the prototype sensor platform. This hardware prototype has the potential of creating locality wise, dense air pollution data providing crucial insights into the causes of air pollution.
Tanishka Goyal, Ankita Singh, Smriti Chhaya, Aditi Vikas, Poorva Garg, Ritika Malik, Rijurekha Sen
MobiCom3