Energy-Efficient WSN Architecture for Illegal Deforestation Detection

@inproceedings{Petrica2015EnergyEfficientWA,
  title={Energy-Efficient WSN Architecture for Illegal Deforestation Detection},
  author={Lucian Petrica and Gheorghe Stefan},
  year={2015}
}
We present an energy-efficient wireless sensor network (WSN) architecture tailored for illegal deforestation detection. Illegal deforestation is a world-wide problem which may be prevented through improved monitoring of forested areas utilizing sensor networks equipped with chain-saw detection. Additional to detection, we identify sound source localization and sensor node localization as essential features of a deforestation monitoring WSN, and analyze two possible architectures which perform… Expand

Figures and Tables from this paper

An evaluation of low-power microphone array sound source localization for deforestation detection
Abstract Illegal deforestation is a worldwide problem which may be alleviated through technological means of deforestation monitoring, e.g. wireless sensor networks capable of identifying chain-sawExpand
WIRELESS SENSOR NETWORK FOR ILLEGAL LOGGING APPLICATION : A SYSTEMATIC LITERATURE REVIEW
Wireless Sensor Networks (WSN) is a technology available for outdoor area application. The characteristic of illegal logging application is suitable to apply WSN-based application. Because theExpand
TreeSpirit: Illegal logging detection and alerting system using audio identification over an IoT network
TLDR
The initial steps to build a new three-tier architecture for Forest Monitoring based on Wireless Sensor Network and Chainsaw Noise Identification using a Neural Network and methodologies to localize the origin of the chainsaw noise are proposed. Expand
A Low-Power FPGA-Based Architecture for Microphone Arrays in Wireless Sensor Networks
TLDR
A novel dynamic, scalable and energy-efficient FPGA-based architecture suitable for low-power Flash-based FPGAs that applies the Delay-and-Sum beamforming technique to the single-bit digital audio from the MEMS microphones to obtain the relative sound power in the time domain. Expand
A Method for Chainsaw Sound Detection Based on Haar-like Features
TLDR
A novel technique based on the extraction of 2D Haar wavelet coefficients from the spectrogram of environmental sounds is proposed which can be used to develop a good detection system for preventing the illegal logging. Expand
IoT time critical applications for environmental early warning
TLDR
This paper is a general overview focusing on environmental warnings, such as deforestation implying both the natural and artificial causes that stands at its basis and on analyzing and proposing some systems with both of their advantages and disadvantages. Expand
Design Exploration and Performance Strategies towards Power-Efficient FPGA-Based Architectures for Sound Source Localization
TLDR
This work intends to guide the design of reconfigurable acoustic beamforming architectures, which are not only able to accurately determine the sound Direction-Of-Arrival (DoA) but also capable to satisfy the most demanding applications in terms of power efficiency. Expand
FPGA-Based Architectures for Acoustic Beamforming with Microphone Arrays: Trends, Challenges and Research Opportunities
TLDR
The presented work provides an overview of the current FPGA-based architectures and how FPGAs are exploited for different acoustic applications. Expand

References

SHOWING 1-10 OF 20 REFERENCES
Lightweight Acoustic Detection of Logging in Wireless Sensor Networks
In our paper we investigate methods to detect the acoustic signals of logging with the help of lightweight sensors in a wireless sensor network. The main advantage of using such sensors is theirExpand
Energy-Efficient Sensing in Wireless Sensor Networks Using Compressed Sensing
TLDR
It is shown that, for some applications, compressed sensing and distributed compressed sensing can provide greater energy efficiency than transform coding and model-based adaptive sensing in wireless sensor networks. Expand
Sensor node localization using mobile acoustic beacons
TLDR
The acoustic ranging method uses a linear frequency modulated signal that can be accurately detected by matched filtering, which provides longer range and higher accuracy than the current state-of-the-art. Expand
SoundCompass: A Distributed MEMS Microphone Array-Based Sensor for Sound Source Localization
TLDR
ThesoundCompass’s hardware and firmware design together with a data fusion technique that exploits the sensing capabilities of the SoundCompass in a wireless sensor network to localize noise pollution sources is presented. Expand
Handbook of Sensor Networks: Algorithms and Architectures
  • I. Stojmenovic
  • Engineering, Computer Science
  • Handbook of Sensor Networks
  • 2005
TLDR
This book discusses distributed Signal Processing Algorithms for the Physical Layer of Large-Scale Sensor Networks, which is a virtual infrastructure for wireless sensor networks and its applications, and data gathering and fusion in sensor networks. Expand
WSN for forest monitoring to prevent illegal logging
TLDR
Acoustic signal processing and evaluation system described in this paper is dealing with the detection of chainsaw sound with autocorrelation method and first steps in building the integrated system are described. Expand
A practical evaluation of radio signal strength for ranging-based localization
TLDR
This study demonstrates that RSS can be used to localize a multi-hop sensor network, and it is shown that this result is highly sensitive to subtle environmental factors such as the grass height, radio enclosure, and elevation of the nodes from the ground. Expand
TinyOS: An Operating System for Sensor Networks
TLDR
A qualitative and quantitative evaluation of the TinyOS system is provided, showing that it supports complex, concurrent programs with very low memory requirements and efficient, low-power operation. Expand
Automatic sound recognition for the hearing impaired
TLDR
A new sound recognition algorithm which is optimized for mechanical sounds such as doorbells that uses a new distance measure called the normalized peak domination ratio (NPDR) that is based on the characteristic spectral peaks of these sounds. Expand
Robust Localization in Reverberant Rooms
TLDR
This chapter summarizes the current field and comments on the general merits and shortcomings of each genre, and presents a new localization method that is significantly more robust to acoustical conditions, particularly reverberation effects, than the traditional localization techniques in use today. Expand
...
1
2
...