Results 211 to 220 of about 4,422 (256)

Acoustic Source Positioning based on Sensor Selection in Wireless Sensor Network

2020 3rd International Conference on Algorithms, Computing and Artificial Intelligence, 2020
Since the bandwidth and energy of wireless sensor networks (WSNs) are limited, it is not appropriate to use all the sensors for acoustic source positioning and so the need for sensor selection. In the article, an efficient expectation maximization algorithm based on sensor selection (EM-SS) is proposed for acoustic source positioning in the WSNs.
Yuwu Feng, Guohua Hu, Lei Hong
openaire   +1 more source

Acoustic counting algorithms for wireless sensor networks

Proceedings of the 6th ACM symposium on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks, 2009
This study presents two algorithms that count birds with wireless sensors equipped with microphones. Audio inputs are parametrized to get some kind of fingerprints which are used to recognize the song of the birds in a classification process. Afterward, counting algorithms derive an estimate of the number of singing birds in the habitat.
Gros-Désormeaux, Harry, Hunel, Philippe, Vidot, Nicolas, Stattner, Erick   +3 more
openaire   +2 more sources

Coding and Enhancement in Wireless Acoustic Sensor Networks

2015 Data Compression Conference, 2015
We formulate a new problem which bridges between source coding and enhancement in wireless acoustic sensor networks. We consider a network of wireless microphones, each of which encoding its own measurement under a covariance matrix distortion constraint and sending it to a fusion center.
Adel Zahedi, Jan Østergaard, Søren Holdt Jensen, Patrick A. Naylor, Soren Bech   +4 more
openaire   +1 more source

Deployment analysis in underwater acoustic wireless sensor networks

Proceedings of the 1st ACM international workshop on Underwater networks - WUWNet '06, 2006
In this paper, different deployment strategies for two-dimensional and three-dimensional communication architectures for UnderWater Acoustic Sensor Networks (UW-ASNs) are proposed, and statistical deployment analysis for both architectures is provided. The objectives of this paper are to determine the minimum number of sensors needed to be deployed to ...
Dario Pompili, Tommaso Melodia, Ian F. Akyildiz   +2 more
openaire   +1 more source

Relative Acoustic Transfer Function Estimation in Wireless Acoustic Sensor Networks

IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2019
In this paper, we present an algorithm to estimate the relative acoustic transfer function RTF of a target source in wireless acoustic sensor networks WASNs. Two well-known methods to estimate the RTF are the covariance subtraction CS method and the covariance whitening CW approach, the latter based on the generalized eigenvalue decomposition.
Jie Zhang 0042, Richard Heusdens, Richard Christian Hendriks   +2 more
openaire   +3 more sources

Multi-Agent-Based Acoustic Sensor Node Deployment in Underwater Acoustic Wireless Sensor Networks

Journal of Information Technology Research, 2020
The deployment of acoustic sensor nodes in 3-D underwater acoustic wireless sensor networks (UAWSN) is a difficult task due to various aquatic conditions and physical obstacles. This work proposes multi-agent-based acoustic sensor node deployment (MASD) to deploy the acoustic nodes at ideal positions to enhance coverage and seamless connectivity.
Basaprabhu S. Halakarnimath, Ashok V. Sutagundar   +1 more
openaire   +1 more source

A Wireless Network of Acoustic Sensors for Environmental Monitoring

Key Engineering Materials, 2014
A distributed microelectronic system for the sound/acoustic monitoring of areas of environmental interest, based on a wireless network of acoustic sensors (microphones), and the automated generation of multi-level sound maps for environmental assessment has been recently proposed.
Potirakis, Stelios M., Nefzi, Bilel, Tatlas, N. -A., Tuna, Gurkan, Rangoussi, M.   +4 more
openaire   +2 more sources

Acoustic objective recognition in wireless sensor networks

2009 4th IEEE Conference on Industrial Electronics and Applications, 2009
As different types of noises coming from different vehicles and weapons mix together, it is a challenge to identify acoustic objectives in such a noisy situation. A systematical study of acoustic objective recognition in wireless sensor network is conducted in this paper.
Weijun Duan, Mingyi He, Yan Chang, Yan Feng   +3 more
openaire   +1 more source

Acoustic self-localization of a wireless sensor network

The Journal of the Acoustical Society of America, 2005
One of the biggest challenges to the field of wireless sensor networks is self-localization: that is the determination of the relative and absolute coordinates of each sensor node in the network. Previous work has been done to locate hydrophone arrays. However sensor networks have some unique constraints that make this more challenging.
Schmidt, Peter L., Williams, Stephen M., Frampton, Kenneth D.   +2 more
openaire   +1 more source

Sensor Selection and Rate Distribution Based Beamforming in Wireless Acoustic Sensor Networks

2019 27th European Signal Processing Conference (EUSIPCO), 2019
Power usage is an important aspect of wireless acoustic sensor networks (WASNs) and reducing the amount of information that is to be transmitted is one effective way to save it. In previous contributions, we presented sensor selection as well as rate distribution methods to reduce the power usage of beamforming algorithms in WASNs.
Zhang, J. (author), Heusdens, R. (author), Hendriks, R.C. (author)   +2 more
openaire   +2 more sources