Hardware Design of Seismic Sensors in Wireless Sensor Network

Koç, Gökhan; Yeğin, Korkut

doi:10.1155/2013/640692

Cited by 13 publications

(5 citation statements)

References 12 publications

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“…To minimize the noise effect from amplifier, the rate of capacitance change with acceleration needs to be maximized [19]. Maximizing the sensitivity requires minimizing sensing gap and lowering the natural resonant frequency [19,92,129].…”

Section: Analysis and Design Challengesmentioning

confidence: 99%

Accelerometer Sensor Specifications to Predict Hydrocarbon Using Passive Seismic Technique

2016

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The ambient seismic ground noise has been investigated in several surveys worldwide in the last 10 years to verify the correlation between observed seismic energy anomalies at the surface and the presence of hydrocarbon reserves beneath. This is due to the premise that anomalies provide information about the geology and potential presence of hydrocarbon. However a technology gap manifested in nonoptimal detection of seismic signals of interest is observed. This is due to the fact that available sensors are not designed on the basis of passive seismic signal attributes and mainly in terms of amplitude and bandwidth. This is because of that fact that passive seismic acquisition requires greater instrumentation sensitivity, noise immunity, and bandwidth, with active seismic acquisition, where vibratory or impulsive sources were utilized to receive reflections through geophones. Therefore, in the case of passive seismic acquisition, it is necessary to select the best monitoring equipment for its success or failure. Hence, concerning sensors performance, this paper highlights the technological gap and motivates developing dedicated sensors for optimal solution at lower frequencies. Thus, the improved passive seismic recording helps in oil and gas industry to perform better fracture mapping and identify more appropriate stratigraphy at low frequencies.

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Section: Analysis and Design Challengesmentioning

confidence: 99%

Accelerometer Sensor Specifications to Predict Hydrocarbon Using Passive Seismic Technique

2016

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“…Seventy percent of generated seismic vibrations are transmitted by Rayleigh waves which spread on the surface of the world. In order to detect humans and vehicles, Rayleigh waves can be very useful because of the transmission direction [11]. Detection takes place by measuring the seismic signal.…”

Section: Seismic Sensorsmentioning

confidence: 99%

“…The network is deployed on a 300m x 300m AOI and nodes manually deployed to the selected x i , y i coordinates. In the figures, CHs are marked with red dots (points), formed near cluster boundaries are depicted as black circles or lines, and the base station (sink) is located at (3,11) and marked as bigger yellow dot (point) with label "1". In this application type, the EEUC multi-hop routing protocol as depicted in [64] is employed for data transmission.…”

Section: Scenariomentioning

confidence: 99%

An efficient fuzzy fusion-based framework for surveillance applications in Wireless Multimedia Sensor Networks

Sert

Yazıcı

Çoşar

et al. 2014

2014 International Wireless Communications and Mobile Computing Conference (IWCMC)

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, 86 pages Previous advances in Information Technologies and especially in Micro Electro-Mechanical Systems, have made the production and deployment of tiny, battery-powered nodes communicating over wireless links possible. Networks comprised of such nodes with sensing capability are called Wireless Sensor Networks. The early deployment aim was to use these nodes only in a passive way for indoor applications. These kinds of early nodes had the ability to sense scalar data such as temperature, humidity, pressure and location of surrounding objects. However, recently available sensor nodes have higher computation capability, higher storage space and better power solutions with respect to their predecessors. With these developments in addition to scalar data delivery, multimedia content has become the core focus. A wireless sensor network with multimedia capabilities is called Wireless Multimedia Sensor Network. There has always been a trade-off between accuracy and energy-efficiency in these new generation networks because of their resource-constrained nature. In this thesis we introduce a new approach to address this trade-off in Wireless Multimedia Sensor Networks. Although a number of previous studies have focused on various special topics in Wireless Multimedia Sensor Networks in detail, to the best of our knowledge, none presents a fuzzy multi-modal data fusion system, which is lightweight and provides a high accuracy ratio. Especially, a multi-modal data fuv sion system targeting surveillance applications make it inevitable to work within a multi-level hierarchical framework. In this thesis, our primary focus is on accuracy and efficiency by utilizing our framework. Along with the fuzzy fusion framework, a new fuzzy clustering algorithm, namely Multi-Objective Fuzzy Clustering Algorithm (MOFCA), is introduced and evaluated in detail as well.

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“…Seismic waves can be effectively sensed by geophones, which are proven to be not only cost-effective but also accurate [40], [41]. The significant ability of geophones to generate microvolt-range voltages for weak seismic signals makes it possible to identify long-range signals [42], [43], albeit with susceptibility to various ambient noises. Consequently, aiming to improve the detection range and the accuracy of long-range elephant detection, this study is focused on designing a sophisticated geophone-sensor interface to read long-range seismic signals by reducing the impact of noise and amplifying the signals to process and detect elephant footfalls using the unique characteristics of elephants 1 The geophone-sensor interface utilizes AD620 monolithic instrumentation amplifiers to boost microvolt-range signals and employs a second-order low-pass Butterworth filter for anti-aliasing and noise-filtering.…”

Section: Introductionmentioning

confidence: 99%

Toward Long Range Detection of Elephants Using Seismic Signals: A Geophone-Sensor Interface for Embedded Systems

Wijayaraja,

Wijekoon,

Wijesundara

et al. 2024

IEEE Access

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The long-distance detection of the presence of elephants is pivotal to addressing the humanelephant conflict. IoT-based solutions utilizing seismic signals originating from the movement of elephants are a novel approach to solving this problem. This study introduces an instrumentation system comprising a specially designed geophone-sensor interface for non-invasive, long-range elephant detection using seismic waves while minimizing the vulnerability of seismic signals to noise. The geophone-sensor interface involves a cascade array of an instrumentation amplifier, a second-order Butterworth filter for signal filtering, and a signal amplifier. The introduced geophone-sensor interface was tested under laboratory conditions, and then real-world experiments were carried out for tamed, partly tamed, and untamed elephants. The experimental results reveal that the system remains stable within the tested frequency range from 1 Hz to 1 kHz and the temperature range of 10°C to 40°C. The system successfully captured the seismic signals generated by the footfalls of elephants within a maximum detection range of 155.6 m, with an overall detection accuracy of 99.5%.

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Hardware Design of Seismic Sensors in Wireless Sensor Network

Cited by 13 publications

References 12 publications

Accelerometer Sensor Specifications to Predict Hydrocarbon Using Passive Seismic Technique

Accelerometer Sensor Specifications to Predict Hydrocarbon Using Passive Seismic Technique

An efficient fuzzy fusion-based framework for surveillance applications in Wireless Multimedia Sensor Networks

Toward Long Range Detection of Elephants Using Seismic Signals: A Geophone-Sensor Interface for Embedded Systems

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