Design of Low-Cost Noise Measurement Sensor Network: Sensor Function Design

Hakala, Ismo; Kivelä, Ilkka; Ihalainen, Jukka; Luomala, Jari; Gao, Chao

doi:10.1109/sensordevices.2010.39

Cited by 40 publications

(48 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…While most of the previous work that involved sound sensing has done so by recording the sound waveform [5,17,18], we have opted for an approach that is centered on a peak detector, for the reasons cited above. This means that our system does not produce SPL values, but the peak noise level recorded within a period of time.…”

Section: Design Rationalementioning

confidence: 99%

“…Noise measurement using WSNs has been attempted four times before: firstly, in the work presented in [17], [49], and [4]; secondly, in the work presented in [5] and [50]; thirdly, the work presented in [18] and [6], and most recently, our own work in [20].…”

Section: Related Workmentioning

confidence: 99%

“…Compared to the research presented in this paper, the first and second sets of studies are more complete endto-end solutions for noise monitoring: they employed A-weighting and have customized networking protocols (presented in [49,50], respectively). The third study is notable for its use of fuzzy logic in inferring subjective noise annoyance from the sensor readings.…”

Section: Related Workmentioning

confidence: 99%

“…Several WSNs for noise pollution monitoring have been demonstrated [4][5][6]. WSN nodes ('motes') however, are usually powered by batteries which have to be frequently replaced.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

On the design of an energy-harvesting noise-sensing WSN mote

Tan

Jarvis

2014

J Wireless Com Network

View full text Add to dashboard Cite

Wireless sensor networks (WSNs) could potentially help in the measurement and monitoring of noise levels, an important step in mitigating and fighting noise pollution. 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 present a design and prototype for a mote extension which enables the mote to detect noise levels while being powered by energy harvesting. The noise level detection carried out by the system relies primarily on the concept of peak detection. Results of performance testing are presented. Aside from the hardware design and prototype, we also discuss methods of assigning charge times for application scenarios where there are multiple pulse loads. We also propose a new opportunistic method for charge time determination. Experiments demonstrate that the new method could improve analytically-derived duty cycles by at least 350%.

show abstract

Section: Design Rationalementioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

“…Several WSNs for noise pollution monitoring have been demonstrated [4][5][6]. WSN nodes ('motes') however, are usually powered by batteries which have to be frequently replaced.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

On the design of an energy-harvesting noise-sensing WSN mote

Tan

Jarvis

2014

J Wireless Com Network

View full text Add to dashboard Cite

show abstract

“…In [16], the design of low cost wireless sensor node for environmental noise measurement is described. The sensor node platform is built on ATmega128L with 4 kB RAM, and its internal 10-bit ADC can operate a peak sampling rate of 33 kHz.…”

Section: Introductionmentioning

confidence: 99%

A Low Cost Wireless Acoustic Sensor for Ambient Assisted Living Systems

et al. 2017

View full text Add to dashboard Cite

Ambient Assisted Living (AAL) has become an attractive research topic due to growing interest in remote monitoring of older people. Development in sensor technologies and advances in wireless communications allows to remotely offer smart assistance and monitor those people at their own home, increasing their quality of life. In this context, Wireless Acoustic Sensor Networks (WASN) provide a suitable way for implementing AAL systems which can be used to infer hazardous situations via environmental sounds identification. Nevertheless, satisfying sensor solutions have not been found with the considerations of both low cost and high performance. In this paper, we report the design and implementation of a wireless acoustic sensor to be located at the edge of a WASN for recording and processing environmental sounds which can be applied to AAL systems for personal healthcare because it has the following significant advantages: low cost, small size, audio sampling and computation capabilities for audio processing. The proposed wireless acoustic sensor is able to record audio samples at least to 10 kHz sampling frequency and 12-bit resolution. Also, it is capable of doing audio signal processing without compromising the sample rate and the energy consumption by using a new microcontroller released at the last quarter of 2016. The proposed low cost wireless acoustic sensor has been verified using four randomness tests for doing statistical analysis and a classification system of the recorded sounds based on audio fingerprints.

show abstract