Bi-scale temporal sampling strategy for traffic-induced pollution data with Wireless Sensor Networks

Shum, L V and Hailes, S and Gupta, M and Bodanese, E and P, Rajalakshmi and Desai, U B (2014) Bi-scale temporal sampling strategy for traffic-induced pollution data with Wireless Sensor Networks. In: 39th Annual IEEE Conference on Local Computer Networks, LCN 2014, 8-11, September 2014, Edmonton; Canada.

Text (Open access)
06925782.pdf - Published Version

Download (443kB) | Preview


Carbon Monoxide (CO) induced by traffic pollution is highly dynamic and non-linear. In a pilot research, we collected some fine-grained 1Hz CO pollution data from a residential road and a busy motorway in Hyderabad, India, in preparation of the deployment of a larger scale, longer term wireless sensor monitoring system. Power conservation is an important issue as the sensor nodes are battery operated. We studied the characteristics of the collected data and designed an adaptive sampling algorithm, Bi-Scale temporal sampler, which adapts the sampling frequency to the statistics collected in real time. This design has incorporated practical engineering considerations including minimising electronic noise, sensor warm-up time and data characteristics. Results show that Bi-Scale sampler achieves better energy saving and statistical deviation ratio for our requirements than burst sampling and eSENSE sampling strategies, which are techniques popularly used in environmental monitoring applications.

[error in script]
IITH Creators:
IITH CreatorsORCiD
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Adaptive Sampling; Algorithm; Carbon Monoxide; India; Pollution Measurement; Wireless Sensor Network
Subjects: Physics > Electricity and electronics
Divisions: Department of Electrical Engineering
Depositing User: Team Library
Date Deposited: 11 Nov 2014 03:40
Last Modified: 15 Feb 2016 06:17
Publisher URL:
Related URLs:

Actions (login required)

View Item View Item
Statistics for RAIITH ePrint 685 Statistics for this ePrint Item