Energy harvesting noise pollution sensing WSN mote: Survey of capabilities and limitations

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Authors

Colleges, School and Institutes

External organisations

  • University of Warwick
  • University of the Philippines System
  • Performance Computing and Visualisation Group

Abstract

Wireless sensor networks (WSNs) are potentially a boon to the implementation and enforcement of noise codes which now exist for many major cities all over the world. Unfortunately, the high energy required by the noise measurement process and the reliance of sensor motes on batteries make the management of noise sensing WSNs cumbersome. Giving motes energy harvesting (EH) capabilities could alleviate such a problem, and several EH WSNs have already been demonstrated. Nevertheless, the high frequency nature of the data required to measure noise places significant additional challenges to the design of EH WSNs. In this paper, we characterize the capabilities and limitations of a WSN mote designed to measure noise. We identify, through specification analysis and experimentation, the performance-limiting factors in each step of the noise measurement process. These steps include sound gathering, data processing, and result transmission. The prospect of the entire process being powered by energy-harvesting means is also evaluated. For each step, we also discuss and recommend measures that would help improve the overall system performance.

Details

Original languageEnglish
Title of host publication2013 IEEE Conference on Wireless Sensor, ICWISE 2013
Publication statusPublished - 2013
Event2013 IEEE Conference on Wireless Sensor, ICWISE 2013 - Kuching, Sarawak, Malaysia
Duration: 2 Dec 20134 Dec 2013

Publication series

Name2013 IEEE Conference on Wireless Sensor, ICWISE 2013

Conference

Conference2013 IEEE Conference on Wireless Sensor, ICWISE 2013
Country/TerritoryMalaysia
CityKuching, Sarawak
Period2/12/134/12/13

Keywords

  • Acoustic, Acoustic sensors, Energy harvesting, Hardware, Wireless sensor networks