Bibliographies thématiques / REMOTE SENSING, WIRELESS SENSOR NETWORKS, GEOMATICS

Littérature scientifique sur le sujet « REMOTE SENSING, WIRELESS SENSOR NETWORKS, GEOMATICS »

Auteur : Grafiati
Publié le 10 mars 2023

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Articles de revues sur le sujet "REMOTE SENSING, WIRELESS SENSOR NETWORKS, GEOMATICS"

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Moosavi, S. M. R., et A. Sadeghi-Niaraki. « A SURVEY OF SMART ELECTRICAL BOARDS IN UBIQUITOUS SENSOR NETWORKS FOR GEOMATICS APPLICATIONS ». ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1-W5 (11 décembre 2015) : 503–7. http://dx.doi.org/10.5194/isprsarchives-xl-1-w5-503-2015.

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Nowadays more advanced sensor networks in various fields are developed. There are lots of online sensors spreading around the world. Sensor networks have been used in Geospatial Information Systems (GIS) since sensor networks have expanded. Health monitoring, environmental monitoring, traffic monitoring, etc, are the examples of its applications in Geomatics. Sensor network is an infrastructure comprised of sensing (measuring), computing, and communication elements that gives an administrator the ability to instrument, observe, and react to events and phenomena in a specified environment. This paper describes about development boards which can be used in sensor networks and their applications in Geomatics and their role in wireless sensor networks and also a comparison between various types of boards. Boards that are discussed in this paper are Arduino, Raspberry Pi, Beagle board, Cubieboard. The Boards because of their great potential are also known as single board computers. This paper is organized in four phases: First, Reviewing on ubiquitous computing and sensor networks. Second, introducing of some electrical boards. Then, defining some criterions for comparison. Finally, comparing the Ubiquitous boards.
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Telbany, Mohammed E. El, et Maha A. Maged. « Wireless sensor networks for extreme environments : remote sensing and space industry ». International Journal of Hybrid Intelligence 1, no 1 (2019) : 41. http://dx.doi.org/10.1504/ijhi.2019.099671.

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El Telbany, Mohammed E., et Maha A. Maged. « Wireless sensor networks for extreme environments : remote sensing and space industry ». International Journal of Hybrid Intelligence 1, no 1 (2019) : 41. http://dx.doi.org/10.1504/ijhi.2019.10021295.

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Jin, Yong, Zhenjiang Qian, Xiaoshuang Xing et Lu Shen. « Opportunistic Cooperative Sensing for Indoor Complex Environment Monitoring ». International Journal of Online Engineering (iJOE) 13, no 08 (4 août 2017) : 4. http://dx.doi.org/10.3991/ijoe.v13i08.6709.

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ensor nodes vulnerable becomes a major bottleneck restricting the wide application of wireless sensor networks WSNs (Wireless Sensor Networks). In order to satisfy the needs of industrial production and daily living environment monitoring, it is important to improve the survivability of wireless sensor networks in environmental monitoring application. In order to have a reliable environment monitoring system, this paper analyzed the damage types and causes of WSNs and the measurement methods of WSNs survivability. Then, we studied the fault detection method and finally realized the design can improve the survivability of the scheme. The robust guarantee scheme through hardware design and algorithm model, realized the remote wireless communication services and prolonged the network life cycle, so as to improve the survivability of the environmental monitoring system.
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Annepu, LEELADHAR. « Cut Detection in Remote Versatile Wireless Sensor Mobile Networks ». International Journal of Advances in Applied Sciences 3, no 4 (1 décembre 2014) : 202. http://dx.doi.org/10.11591/ijaas.v3.i4.pp202-205.

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<strong><em>A remote sensor system can get differentiated into different joined segments because of the disappointment of some of its hubs, which is known as a "cut". In this project we consider the issue of catching cuts by the remaining hubs of a remote sensor system. We propose a calculation that permits (i) each hub to recognize when the integration to an exceptionally assigned hub has been lost, and (ii) one or more hubs (that are associated with the uncommon hub after the cut) to discover the event of the cut. The calculation is circulated and non concurrent: each hub needs to correspond with just those hubs that are inside its correspondence range. The calculation is focused around the iterative processing of an imaginary "electrical potential" of the hubs. The union rate of the hidden iterative plan is autonomous of the size and structure of the system. Remote Sensor Networks (Wsns) comprise of a huge number of small hubs having the ability of sensing, calculation, and remote correspondences. Remote sensor system can endure part issue in the system which is known as a cut. So a solitary topology of the system breaks into two or more parts. Here we examine a few slice recognition systems to discover the cuts in WSN.</em></strong>
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Chung, Chiu Chiao, et Wei Shiang Weng. « Remote Access the ZigBee Sensor Network through the IP Network ». Advanced Materials Research 684 (avril 2013) : 539–42. http://dx.doi.org/10.4028/www.scientific.net/amr.684.539.

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With the wireless communication technology and world-wide Internet, living styles have become more and more convenient and smart, especially, for the application of context-aware systems based in wireless sensor networks. Furthermore, mobile devices provide users timely information browsing and mobile data access. In this study, the ZigBee wireless sensor network combined with sensor data observed Services (Sensor data Observation Service), and PostgreSQL database systems is developed to implement a remote access ZigBee wireless sensor network through an IP Internet browser. This system includes: (a) the integration of ZigBee CC2430 sensor sensing light, humidity and temperature; (b) PostgreSQL database tools accessing data; (c) via the sensor data Observation Service (SOS ) technologies; (d) through mobile devices to master the relevant environmental information.
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Ji, Weishuai, et Yaqiu Liu. « Research on Quantitative Evaluation of Remote Sensing and Statistics Based on Wireless Sensors and Farmland Soil Nutrient Variability ». Computational Intelligence and Neuroscience 2022 (19 janvier 2022) : 1–11. http://dx.doi.org/10.1155/2022/3646264.

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The combination of wireless sensor networks and radio technology can form a new type of communication network. The emergence of wireless sensor networks has effectively solved the problems existing in radio technology, but traditional wireless sensor networks and radio technology networks cannot be directly applied to wireless sensors. On this basis, this paper studies the remote sensing of soil nutrient variability in agricultural land using wireless sensors. Due to traditional farmland management and agricultural systems, farmland soil nutrient variability has led to polarization: fertile soil has excess nutrients, reducing the use rate of chemical fertilizers and polluting high-quality farmland. Traditional farming methods can no longer meet the requirements, and modern technology must be used to comprehensively understand the spatiotemporal variability of soil nutrients during plant growth. Remote sensing technology has the advantages of accuracy, speed, economy, and regular monitoring. It provides new ideas and technical guarantees for soil quality evaluation in land development and consolidation projects. This paper also studies the use of statistical quantitative evaluation technology to carry out multidimensional statistical quantification of soil protection function evaluation at a given location. Finally, wireless sensor networks are used to analyze the relationship between several natural factors and quantitative estimation of soil protection. Based on wireless sensor technology, this paper studies the variability of farmland soil nutrients and statistical quantitative evaluation, hoping to lay a foundation for the development of agriculture and statistics.
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Naife Alauthman, Almamoon, Wan Nor Shuhadah Wan Nik et Nor Aida Mahiddin. « Adaptive Sensor Sensing Range to Maximise Lifetime of Wireless Sensor Network ». International journal of Computer Networks & ; Communications 14, no 1 (31 janvier 2022) : 71–83. http://dx.doi.org/10.5121/ijcnc.2022.14105.

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Wireless Sensor Network (WSN) is commonly used to collect information from a remote area and one of the most important challenges associated with WSN is to monitor all targets in a given area while maximizing network lifetime. In wireless communication, energy consumption is proportional to the breadth of sensing range and path loss exponent. Hence, the energy consumption of communication can be minimized by varying the sensing range and decreasing the number of messages being sent. Sensing energy can be optimized by reducing the repeated coverage target. In this paper, an Adaptive Sensor Sensing Range (ASSR) technique is proposed to maximize the WSN Lifetime. This work considers a sensor network with an adaptive sensing range that are randomly deployed in the monitoring area. The sensor is adaptive in nature and can be modified in order to save power while achieving maximum time of monitoring to increase the lifetime of WSN network. The objective of ASSR is to find the best sensing range for each sensor to cover all targets in the network, which yields maximize the time of monitoring of all targets and eliminating double sensing for the same target. Experiments were conducted using an NS3 simulator to verify our proposed technique. Results show that ASSR is capable to improve the network lifetime by 20% as compared to other recent techniques in the case of a small network while achieving an 8% improvement for the case of a large networks.
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Shakya, Dr Subarna. « Design of Hybrid Energy Management System for Wireless Sensor Networks in Remote Areas ». Journal of Electrical Engineering and Automation 2, no 1 (10 mars 2020) : 13–24. http://dx.doi.org/10.36548/jeea.2020.1.002.

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Energy is an essential parameter for any work to be done. An electric energy is a primary requirement for any wireless transmission system. Transmitting the information from a source to destination requires a continuous and strengthen wireless network connection to avoid interruption from electromagnetic disturbance. Powering such wireless networks can be done by giving direct current through a battery or from direct supply. The challenge comes when the wireless sensor network is fixed in a remote place or designed as a moving system for sensing analysis. Battery sourcing power system will be a better choice for such movable wireless system. The paper proposes a hybrid energy management system for wireless sensor networks (WSNs) connected in remote areas and it analyses the performance of the energy management system in terms of amount of energy can be generated for a battery source.
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Wang, Jun, Xi Liang Zhang, Jin Yuan, Xiao Feng Shi et Xin Ming Gao. « Development of Universal Multi-Function Digital Remote Control Electronic Switch Based on WSN ». Key Engineering Materials 464 (janvier 2011) : 142–45. http://dx.doi.org/10.4028/www.scientific.net/kem.464.142.

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To improve electrical operational flexibility in use and save energy, a universal multi-function digital remote control electronic switch for variety of household appliances is developed by adopting wireless sensor networks and infrared sensing technology. To NRF9E5 wireless microcontroller as the core, electronic switch that formed by the remote control and a number of switch nodes forms short-distance wireless communications network. Remote control is equipped with clock circuit, buttons and LCD display; switch node with infrared sensor, human body detection circuit, relay and control circuit. Switch can be controlled by remote control, human infrared sensor or setting time. The application shows that it greatly increases operational flexibility with easily integrating with various existing electrical switches and has obvious energy saving effect.
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Thèses sur le sujet "REMOTE SENSING, WIRELESS SENSOR NETWORKS, GEOMATICS"

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Jiang, Meng. « Tele-cardiology sensor networks for remote ECG monitoring / ». Online version of thesis, 2006. https://ritdml.rit.edu/dspace/handle/1850/2800.

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Leinonen, M. (Markus). « Distributed compressed data gathering in wireless sensor networks ». Doctoral thesis, Oulun yliopisto, 2018. http://urn.fi/urn:isbn:9789526220451.

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Abstract Wireless sensor networks (WSNs) consisting of battery-powered sensors are increasingly deployed for a myriad of Internet of Things applications, e.g., environmental, industrial, and healthcare monitoring. Since wireless access is typically the main contributor to battery usage, minimizing communications is crucial to prolong network lifetime and improve user experience. The objective of this thesis is to develop and analyze energy-efficient distributed compressed data acquisition techniques for WSNs. The thesis proposes four approaches to conserve sensors' energy by minimizing the amount of information each sensor has to transmit to meet given application requirements. The first part addresses a cross-layer design to minimize the sensors’ sum transmit power via joint optimization of resource allocation and multi-path routing. A distributed consensus optimization based algorithm is proposed to solve the problem. The algorithm is shown to have superior convergence compared to several baselines. The remaining parts deal with compressed sensing (CS) of sparse/compressible sources. The second part focuses on the distributed CS acquisition of spatially and temporally correlated sensor data streams. A CS algorithm based on sliding window and recursive decoding is developed. The method is shown to achieve higher reconstruction accuracy with fewer transmissions and less decoding delay and complexity compared to several baselines, and to progressively refine past estimates. The last two approaches incorporate the quantization of CS measurements and focus on lossy source coding. The third part addresses the distributed quantized CS (QCS) acquisition of correlated sparse sources. A distortion-rate optimized variable-rate QCS method is proposed. The method is shown to achieve higher distortion-rate performance than the baselines and to enable a trade-off between compression performance and encoding complexity via the pre-quantization of measurements. The fourth part investigates information-theoretic rate-distortion (RD) performance limits of single-sensor QCS. A lower bound to the best achievable compression — defined by the remote RD function (RDF) — is derived. A method to numerically approximate the remote RDF is proposed. The results compare practical QCS methods to the derived limits, and show a novel QCS method to approach the remote RDF
Tiivistelmä Patterikäyttöisistä antureista koostuvat langattomat anturiverkot yleistyvät esineiden internetin myötä esim. ympäristö-, teollisuus-, ja terveydenhoitosovelluksissa. Koska langaton tiedonsiirto kuluttaa merkittävästi energiaa, kommunikoinnin minimointi on elintärkeää pidentämään verkon elinikää ja parantamaan käyttäjäkokemusta. Väitöskirjan tavoitteena on kehittää ja analysoida energiatehokkaita hajautettuja pakattuja datankeruumenetelmiä langattomiin anturiverkkoihin. Työssä ehdotetaan neljä lähestymistapaa, jotka säästävät anturien energiaa minimoimalla se tiedonsiirron määrä, mikä vaaditaan täyttämään sovelluksen asettamat kriteerit. Väitöskirjan ensimmäinen osa tarkastelee protokollakerrosten yhteissuunnittelua, jossa minimoidaan anturien yhteislähetysteho optimoimalla resurssiallokaatio ja monitiereititys. Ratkaisuksi ehdotetaan konsensukseen perustuva hajautettu algoritmi. Tulokset osoittavat algoritmin suppenemisominaisuuksien olevan verrokkejaan paremmat. Loppuosat keskittyvät harvojen lähteiden pakattuun havaintaan (compressed sensing, CS). Toinen osa keskittyy tila- ja aikatasossa korreloituneen anturidatan hajautettuun keräämiseen. Työssä kehitetään liukuvaan ikkunaan ja rekursiiviseen dekoodaukseen perustuva CS-algoritmi. Tulokset osoittavat menetelmän saavuttavan verrokkejaan korkeamman rekonstruktiotarkkuuden pienemmällä tiedonsiirrolla sekä dekoodausviiveellä ja -kompleksisuudella ja kykenevän asteittain parantamaan menneitä estimaatteja. Työn viimeiset osat sisällyttävät järjestelmämalliin CS-mittausten kvantisoinnin keskittyen häviölliseen lähdekoodaukseen. Kolmas osa käsittelee hajautettua korreloitujen harvojen signaalien kvantisoitua CS-havaintaa (quantized CS, QCS). Työssä ehdotetaan särön ja muuttuvan koodinopeuden välisen suhteen optimoiva QCS-menetelmä. Menetelmällä osoitetaan olevan verrokkejaan parempi pakkaustehokkuus sekä kyky painottaa suorituskyvyn ja enkooderin kompleksisuuden välillä mittausten esikvantisointia käyttäen. Neljäs osa tutkii informaatioteoreettisia, koodisuhde-särösuhteeseen perustuvia suorituskykyrajoja yhden anturin QCS-järjestelmässä. Parhaimmalle mahdolliselle pakkaustehokkuudelle johdetaan alaraja, sekä kehitetään menetelmä sen numeeriseen arviointiin. Tulokset vertaavat käytännön QCS-menetelmiä johdettuihin rajoihin, ja osoittavat ehdotetun QCS-menetelmän saavuttavan lähes optimaalinen suorituskyky
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Banerjee, Torsha. « Energy Efficient Data Representation and Aggregation with Event Region Detection in Wireless Sensor Networks ». University of Cincinnati / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1196187013.

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Iyiola, Samuel Oluwagbemi. « Moteino-Based Wireless Data Transfer for Environmental Monitoring ». Thesis, University of North Texas, 2017. https://digital.library.unt.edu/ark:/67531/metadc984271/.

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Data acquisition through wireless sensor networks (WSNs) has enormous potential for scalable, distributed, real-time observations of monitored environmental parameters. Despite increasing versatility and functionalities, one critical factor that affects the operation of WSNs is limited power. WSN sensor nodes are usually battery powered, and therefore the long-term operation of the WSN greatly depends on battery capacity and the node's power consumption rate. This thesis focuses on WSN node design to reduce power consumption in order to achieve sustainable power supply. For this purpose, this thesis proposes a Moteino-based WSN node and an energy efficient duty cycle that reduces current consumption in standby mode using an enhanced watchdog timer. The nodes perform radio communication at 915 MHz, for short intervals (180ms) every 10 minutes, and consume 6.8 mA at -14dBm. For testing, the WSN node monitored a low-power combined air temperature, relative humidity, and barometric pressure sensor, together with a typical soil moisture sensor that consumes more power. Laboratory tests indicated average current consumption of ~30µA using these short radio transmission intervals. After transmission tests, field deployment of a star-configured network of nine of these nodes and one gateway node provides a long-term platform for testing under rigorous conditions. A webserver running on a Raspberry Pi connected serially to the gateway node provides real-time access to this WSN.
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Spreeth, Gideon. « Design of a low power wireless sensor network for environmental monitoring ». Thesis, Stellenbosch : Stellenbosch University, 2008. http://hdl.handle.net/10019.1/1606.

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Thesis (MScEng (Electrical and Electronic Engineering))--Stellenbosch University, 2008.
A WSN (wireless sensor network) consists of a collection of small, low power electronic devices that can sense their environment and communicate with each other in order to send data to a base station for logging and monitoring. Research done on WSNs has increased rapidly over the past few years, as the necessary RF hardware has become cheaper and smaller. The wealth of information and hardware available in this field has made it possible to design and deploy networks for a multitude of monitoring purposes, on almost any terrain, without an existing telecommunication infrastructure. This thesis presents research into some major aspects of WSNs and the implementation of a test system with wireless sensor motes, that can be used for environmental monitoring, conservation purposes, impact studies, early warning systems for floods, fires etc. The system also has a wide range of possible uses in agriculture, as more data and better control over crops can increase yield. The power constraint of sensor nodes is one of the biggest concerns, as batteries can be depleted quickly and render a system useless. For this reason, work was focused on reducing power consumption of the hardware by means of various methods. Power use was also simulated very successfully, giving a accurate way of predicting node lifetime with a variety of battery types. The system was implemented on the Tmote Sky hardware platform using the open source sensor network operating system, TinyOS.
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Rootman, Adriaan Cornelius. « Development of a remote wireless monitoring system for large farms ». Thesis, Cape Peninsula University of Technology, 2012. http://hdl.handle.net/20.500.11838/1173.

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Thesis submitted in fulfilment of the requirements for the degree Master of Technology: Electrical Engineering at the Cape Peninsula University of Technology, 2012
This research project addresses the unique challenges of extensive farming in terms of monitoring and controlling remote equipment or events. Poorly maintained roads and escalating fuel costs increase difficulty of farming and the time spent on physically monitoring remote sites further reduces financial yields. The research showed that there are very few solutions that implement wireless or electronic technology to overcome the challenges associated with these isolated and arid areas and that a low-cost, long range wireless telemetry solution that is easy to use would be beneficial for the extensive farming industry. It was therefore the aim of this project to develop a remote monitoring and controlling solution that implements wireless technology to convey information of activities around the farm utilising electronic means. To be able to successfully develop a wireless telemetry solution that will accurately meet the needs of this specific sector of industry, market research was conducted. To guide the research, the QFD (quality function deployment) process for product development has been implemented. The research consisted out of various aspects including a survey, financial considerations and international comparisons. The research also aided in the understanding of the day-to-day activities and also the physical parameters of extensive farms. Also, currently available technologies and products were evaluated to establish whether similarities exist that will aid in the development of a new product. The development process was based on the results obtained in the market research and resulted in a wireless telemetry solution that overcame all the design challenges and proved to be technically feasible, successfully addressing the application requirements. Zigbee technology was utilized for wireless communication because it provided an off-the-shelf solution with a number of readily available development platforms from various technology providers. A communication range of up to 6 kilometres with a transmitted power of 11dBm was achieved for point-to-point communication and a mesh network topology has been implemented for even longer range and complete coverage on farms. Various types of measurements have been catered for, with custom-designed instrumentation which enabled measurements such as water levels, movement and analogue signals. Also, a basic user interface was developed to enable the user to monitor or control the equipment or events remotely from a personal computer, locally or even over the internet. The results of this research project showed that by carefully selecting available technologies and understanding the application, it is possible to develop a solution that addresses the monitoring and controlling needs associated with extensive farming. The wireless telemetry system that was developed resulted in a saving equal to 10% of the total expenses of the farms per year. The telemetry system is therefore a financially feasible solution with a payback period of less than 1 year and far below the initial estimated budget. Without the need to physically monitoring equipment and events, an increase in productivity and the expansion of the overall enterprise is a further benefit added unto the monetary savings. In addition to the financial benefits of implementing new wireless technology, this is an opportunity to contribute to a cleaner and more sustained future as a legacy for the next generation by reducing the carbon footprint of the farm.
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Alcantara, Lehi Sttenio. « Deploying and Analyzing Air Quality Sensors in Mongolian Gers ». BYU ScholarsArchive, 2021. https://scholarsarchive.byu.edu/etd/8908.

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The purpose of this research is to develop best practices for deploying air quality sensors in a remote location such as Mongolia. I discussed the architecture and design constraints when collecting remote air quality sensors data, the challenges that emerge while implementing a sensor-based network in a remote location such as Mongolia. The tradeoffs of using different architectures are described. I observed the usage of electrical heaters in modified gers in remote locations and conclude how effective they are in reducing PM2.5 levels by analyzing air quality data and go through the process of cleaning up the data and removing humidity from low-cost sensors used to deploy in a remote location such as Mongolia so that the PM2.5 reading is more accurate. In order to help many humanitarian efforts dealing with better air quality in developing countries, an air quality sensor was designed to keep low cost as much as possible. The cost is about $200 to build, which is cheaper than other low-cost sensors, yet provides more functionality (e.g., CO2 sensing) and used cellular connectivity to upload data in real-time. This sensor has implications beyond Mongolia. The sensor can be used anywhere WiFi connectivity is not available, such as parks, bus stops, and along roadways, breaking the constraints that other low-cost sensors have. Removing the need for WiFi is a necessary step in allowing ubiquitous air quality sensing. The contributions in this thesis are: First, I presented the challenges one should consider while deploying air quality sensors in developing countries. Second, since Mongolia offers a unique environment and constraints, I shared experiences in deploying sensors in a remote location like Mongolia. This experience goes beyond air quality sensors and can inform anyone who is deploying sensors in remote areas. Third the analysis of the PM2.5 on the gers gives us better insights as to whether modifying gers with insulation and using electrical heaters as opposed to burning coal to heat up the gers makes a difference in regard to better air quality in the gers.
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Mafukidze, Harry D. « Design and development of a satellite ground station for water resource monitoring ». Thesis, Stellenbosch : Stellenbosch University, 2014. http://hdl.handle.net/10019.1/96102.

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Thesis (MEng)--Stellenbosch University, 2014.
ENGLISH ABSTRACT: The SU Department of Forestry has the responsibility to monitor, assess and suggest management processes for water resources in some remote areas. The researchers need information on wind speed, wind direction, soil run-o , absorption and soil drainage. Most of the areas they are targeting have no form of GSM/GPRS coverage. This thesis presents the design and development of a Zigbee based wireless sensor network to send data from distributed sensor nodes to a ground station, all in a remote area. The ground station in turn uses a global commercial satellite communications system to send the eld data to a centralised host computer. This was accomplished through the integration of the most common and popular open source and commercial electronics prototyping platforms, namely, Arduino, Digi XBee radio, Raspberry Pi and Iridium modem. The system relies on an Arduino Uno working as a sensor node, Digi XBee radios for forming wireless mesh and multi-hop networks, Raspberry Pi being the heart of the ground station and the Iridium modem to send data to the master station through the Iridium gateway. A comprehensive literature study was conducted and a prototype of the system implemented. Various tests were conducted to determine and prove the feasibility of the system.
AFRIKAANSE OPSOMMING: Die Departement van Bosbou het die verantwoordelikheid om water hulpbronne in afgele e areas te monitor, evalueer en voorstelle te maak tov. die bestuur daarvan. Die navorsers benodig inligting oor windspoed, windrigting, grondwater a oop, -opname en -dreinering. Die meeste van die gebiede ter sprake het geen vorm van GSM / GPRS-dekking nie. Hierdie tesis beskryf die ontwerp en ontwikkeling van 'n Zigbee gebaseerde radio sensornetwerk om data vanaf verspreide sensornodes te stuur na 'n grondstasie. Die grondstasie op sy beurt maak gebruik van 'n globale kommersiele satelliet-kommunikasiestelsel om data van 'n afgele e plek in die veld te stuur na 'n gesentraliseerde rekenaarstelsel. Dit is gedoen deur van die mees algemene en gewilde prototipe oopbron en kommersiele platforms, naamlik Arduino, Digi XBee radio, Raspberry Pi en Iridium modem te integreer. Die sensornodes is gebaseer op 'n Arduino Uno, met Digi XBee radio's vir die radio- multihop netwerk. Die grondstasie is gebou om die Raspberry Pi en stuur data aan na die meesterstasie, via die Iridium modem en satellietstelsel. Na 'n omvattende literatuurstudie, is 'n prototipe van die stelsel ontwerp en geimplementeer. Omvattende toetse is gedoen om die korrekte werking en bruikbaarheid van die stelsel te bewys.
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Silva, Marcel Salvioni da 1980. « Rede de sensores sem fio de baixo custo para monitoramento ambiental ». [s.n.], 2013. http://repositorio.unicamp.br/jspui/handle/REPOSIP/259030.

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Orientador: Fabiano Fruett
Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação
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Resumo: Existem diversos sistemas e equipamentos, com finalidades específicas, envolvendo o monitoramento das mudanças de clima e de tempo. Entretanto, a maioria desses sistemas e equipamentos disponíveis no mercado possuem alto custo, o que normalmente inviabiliza sua utilização em larga escala. Além disso, a maioria dos sistemas e equipamentos para este fim são importados, o que dificulta ainda mais a sua inserção em aplicações corriqueiras. Este trabalho descreve o desenvolvimento, projeto, testes e aplicação de uma rede de sensores sem fio de baixo custo, para monitoramento em tempo real da temperatura ambiente, umidade relativa do ar e pressão atmosférica, como uma alternativa nacional para pesquisas que necessitem de equipamentos para monitoramento ambiental. A rede é composta de quatro nós sensores e um nó coordenador. Os nós sensores possuem um sensor de temperatura e umidade e um sensor de pressão barométrica ¿ ambos com interface digital ¿ além de um microcontrolador de baixo consumo de energia e baixo custo, e um módulo de comunicação para uma rede operando na frequência de 2,4GHz, para conexão numa rede padrão IEEE 802.15.4. O nó coordenador possui outro módulo de comunicação para a conexão na rede sem fio, um microcontrolador, um cartão de memória para armazenamento das informações de cada nó sensor e interface Ethernet para disponibilizar as medidas do sensor em uma página web, acessada através de um IP estático em um browser de internet comum. Testes em laboratório e em campo atestaram autonomia do nó sensor (em torno de 90 dias para uma bateria de 500mAh) e alcance (de aproximadamente 150m em visada direta) e comprovaram a conformidade dos valores medidos por cada nó, através da comparação com um sistema de referência
Abstract: There are several systems and equipments with specific applications related to climate and weather change monitoring. However, most of these systems and equipments available in the market are too expensive ¿ which usually prevents their use in large scale. Furthermore, most of them used for such purpose are imported, which further complicates their insertion in everyday applications. This work describes the development, implementation and application of a low-cost wireless sensor network for temperature, relative humidity and atmospheric pressure monitoring, in real-time as a national alternative for researches which demand equipments for environmental monitoring. The network consists of four sensor nodes and a coordinator node. Sensor nodes have a temperature and humidity sensor and a barometric sensor ¿ both with digital interface ¿ plus a low cost and low power microcontroller and a communication module for the wireless network operating at 2.4GHz for establishing connection to an IEEE 802.15.4 network. Coordinator node has another communication module to the wireless network connection, a microcontroller for receiving measurements, a memory card for storage of each sensor node¿s information, and Ethernet interface to provide sensor node¿s information in an embedded webpage, accessed through a static IP in a common internet browser. Tests performed in laboratories and in the field attested the node¿s autonomy (around 90 days for a 500mAh battery) and reach (approximately 150m line-of-sight), and proved the compliance of measurements performed by each sensor node, through comparison with a reference system
Mestrado
Eletrônica, Microeletrônica e Optoeletrônica
Mestre em Engenharia Elétrica
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Jenkins, William George. « Real-time vehicle performance monitoring with data integrity ». Master's thesis, Mississippi State : Mississippi State University, 2006. http://sun.library.msstate.edu/ETD-db/ETD-browse/browse.

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Livres sur le sujet "REMOTE SENSING, WIRELESS SENSOR NETWORKS, GEOMATICS"

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1961-, Wu Jie, dir. Handbook on theoretical and algorithmic aspects of sensor, ad hoc wireless, and peer-to-peer networks. Boca Raton : Auerbach Publications, 2006.

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Roundy, Shad. Energy scavenging for wireless sensor networks : With special focus on vibrations. Boston : Kluwer Academic Publishers, 2004.

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Zhan chang jian shi di mian chuan gan qi xi tong ji shu yu ying yong. Beijing : Beijing li gong da xue chu ban she, 2011.

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Wu, Jie. Handbook on Theoretical and Algorithmic Aspects of Sensor, Ad Hoc Wireless, and Peer-To-Peer Networks. Auerbach Publishers, Incorporated, 2005.

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Wright, Paul Kenneth, Shad Roundy et Jan M. Rabaey. Energy Scavenging for Wireless Sensor Networks : With Special Focus on Vibrations. Springer, 2003.

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Powering Autonomous Sensors An Integral Approach With Focus On Solar And Rf Energy Harvesting. Springer, 2011.

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Chapitres de livres sur le sujet "REMOTE SENSING, WIRELESS SENSOR NETWORKS, GEOMATICS"

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Lausch, Angela, Marco Heurich, Paul Magdon, Duccio Rocchini, Karsten Schulz, Jan Bumberger et Doug J. King. « A Range of Earth Observation Techniques for Assessing Plant Diversity ». Dans Remote Sensing of Plant Biodiversity, 309–48. Cham : Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-33157-3_13.

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AbstractVegetation diversity and health is multidimensional and only partially understood due to its complexity. So far there is no single monitoring approach that can sufficiently assess and predict vegetation health and resilience. To gain a better understanding of the different remote sensing (RS) approaches that are available, this chapter reviews the range of Earth observation (EO) platforms, sensors, and techniques for assessing vegetation diversity. Platforms include close-range EO platforms, spectral laboratories, plant phenomics facilities, ecotrons, wireless sensor networks (WSNs), towers, air- and spaceborne EO platforms, and unmanned aerial systems (UAS). Sensors include spectrometers, optical imaging systems, Light Detection and Ranging (LiDAR), and radar. Applications and approaches to vegetation diversity modeling and mapping with air- and spaceborne EO data are also presented. The chapter concludes with recommendations for the future direction of monitoring vegetation diversity using RS.
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Ginzburg, Ilya, Sergey Padalko et Maxim Terentiev. « Combining Earth Remote Sensing and Land Wireless Sensor Networks Data in Smart Agriculture Information Products ». Dans Software Engineering Perspectives in Intelligent Systems, 1023–31. Cham : Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63322-6_88.

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Karnjana, Jessada, Suthum Keerativittayanun, Kittikom Sangrit, Pitisit Dillon, Asadang Tanatipuknon, Pakinee Aimmanee et Ken T. Murata. « Real-Time Monitoring System Based on Wireless Sensor Networks and Remote Sensing Techniques for Landslide-Prone Areas in the Northern Region of Thailand ». Dans Springer Tracts in Civil Engineering, 169–80. Singapore : Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5312-4_12.

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Dalal, Bhargavi, et Sampada Kukarni. « Wireless Sensor Networks : Applications ». Dans Wireless Sensor Networks - Design, Deployment and Applications. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.97079.

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Wireless sensor networks consist of small nodes with identifying component by sensing, computation, and wireless communications infrastructure capabilities. Many path searching means routing, power management, and data dissemination protocols have been specifically designed for WSNs where energy awareness is an essential design issue. Routing protocols in WSNs might differ depending on the application and network architecture. Wireless Sensor Networks (WSNs) provide several types of applications providing comfortable and smart-economic life. A multidisciplinary research area such as wireless sensor networks, where close collaboration in some users, application domain experts, hardware designers, and software developers is needed to implement efficient systems. The easy molding, fault tolerance, high sensing fidelity, low price, and rapid deployment features of sensor networks create various new and thrilling application areas for remote sensing. In the future, this wide range of application areas will make sensor networks an essential part of our lives. However, understanding of sensor networks needs to satisfy the constraints presented by factors such as fault tolerance, scalability, cost, hardware, dynamic topology, environment, and power consumption.
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Zarog, Musaab. « Self-Powering Wireless Sensor Networks in the Oil and Gas Industry ». Dans Nanogenerators and Self-Powered Systems [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.107919.

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The total revenue from the oil and gas industry in 2019 was 3 trillion dollars with nearly 350,000 businesses working in this field. For more efficiency, all machinery and equipment, including thousands of kilometers of transporting pipelines, need to be monitored continuously and in real time. Hundreds or even thousands of sensing and control nodes are needed for the oil and gas industry. WSNs approach has allowed the company to reduce the number of antenna towers and masts at remote sites, which accounts for 40–60% of the infrastructure cost of building a wireless digital oilfield network. A conventional solution to power these nodes is the use of electrochemical batteries. However, problems can occur using batteries due to their finite lifespan. The need for constant replacement in remote locations can become a very expensive or even impossible task. Over the last years, ambient energy harvesters have received great attention, including vibration-to-electric energy conversion. The aim of this chapter is to present the usefulness of implementing IoT and self-powered WSNs in the oil and gas sector, as well as challenges and issues related to adopting such a system.
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Pillai, Dhanasekaran K. « New Computational Models for Image Remote Sensing and Big Data ». Dans Big Data Analytics for Satellite Image Processing and Remote Sensing, 1–21. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3643-7.ch001.

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This chapter focuses on the development of new computational models for remote sensing applications with big data handling method using image data. Furthermore, this chapter presents an overview of the process of developing systems for remote sensing and monitoring. The issues and challenges are presented to discuss various problems related to the handling of image big data in wireless sensor networks that have various real-world applications. Moreover, the possible solutions and future recommendations to address the challenges have been presented and also this chapter includes discussion of emerging trends and a conclusion.
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Pillai, Dhanasekaran K. « New Computational Models for Image Remote Sensing and Big Data ». Dans Environmental Information Systems, 232–48. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7033-2.ch012.

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This chapter focuses on the development of new computational models for remote sensing applications with big data handling method using image data. Furthermore, this chapter presents an overview of the process of developing systems for remote sensing and monitoring. The issues and challenges are presented to discuss various problems related to the handling of image big data in wireless sensor networks that have various real-world applications. Moreover, the possible solutions and future recommendations to address the challenges have been presented and also this chapter includes discussion of emerging trends and a conclusion.
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Hanif Mujawar, Tabbsum, P. Prabhkar, Vijendra Chaudhary et Lalasaheb Deshmukh. « Design and Development of Air Quality Monitoring System for Solapur City Using Smart Technologies : WSN and IoT ». Dans Environmental Management [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.98755.

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Owing to enhancement in technology there is inclination in miniaturization of devices which demands to build up stumpy expensive sensor, least powered and hardy devices. Accordingly, Wireless Sensor Networks (WSN) has gained significance in diverse applications: Farming, household, industries and environmental monitoring. Wireless sensor network system worn to monitor and control the air quality of an environment is developed. The air pollution monitoring system that measures temperature, humidity, SPM (Suspended Particulate Matter), NOx and CO are proposed. The conventional air quality monitoring system, prescribed by the Pollution Control Department, is tremendously pricey. Analytical measuring paraphernalia is lavish, time and power overriding, and can seldom be used for air quality exposure in real time. Endeavor has been completed to develop state of art monitoring system using commercially available standard pollutant gas sensors incorporated into a mote. An exact program made with LabVIEW is formed to constitute the measurements of sensing used in the established network. Remote monitoring of the system is made possible using IoT.
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Zubov, Dmytro. « A Case Study on the Spatial Cognition of Surrounding Objects by the B&VI People Using Sound Patterns and Ultrasonic Sensing ». Dans Emerging Trends and Applications of the Internet of Things, 105–16. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-2437-3.ch004.

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In this paper, two assistive projects on the spatial cognition by blind and visually impaired (B&VI) people are presented using the sound patterns and ultrasonic sensing. The first device supports the sport activities of B&VI, the golf game specifically. Every golf flagstick has the sound marking device with the active buzzer and WiFi remote control by the person with good vision. The NodeMcu Lua ESP8266 ESP-12 WiFi boards in devices are controlled by the cross-platform HTML web-sites, and hence any WiFi smartphone and / or computer can be in use to start the HTML web-page. Mini portable WiFi router links all devices in the network. End-users are securely connected using the password to wireless router. Ten assistive devices were handed in Instituto para Ciegos y Débiles Visuales “Ezequiel Hernández Romo” together with WiFi router. The second device supports the orientation of B&VI by measuring the distance to the obstacle based on the ultrasonic sensor HC-SR04 and Arduino Uno. The distance is pronounced to the B&VI using headphone and MP3 player with SD card. Nowadays, Universidad Politécnica de San Luis Potosí is negotiating with several organizations to create a production line. All devices are of the budget price up to USD 10. All devices were tested successfully. This is joint work of Instituto para Ciegos y Débiles Visuales “Ezequiel Hernández Romo”, Universidad Politécnica de San Luis Potosí, and Tecnológico de Monterrey with ongoing project “Artificial Eyes” based on Raspberry Pi 3 Model B board with an ultrasonic sensor and camera for the image and/or video processing of the surrounding environment, as well as the friendly integration into the local networks using onboard WiFi and Bluetooth.
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Actes de conférences sur le sujet "REMOTE SENSING, WIRELESS SENSOR NETWORKS, GEOMATICS"

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Llorca, Jaime, Aniket Desai, Uzi Vishkin, Christopher C. Davis et Stuart D. Milner. « Reconfigurable optical wireless sensor networks ». Dans Remote Sensing, sous la direction de John D. Gonglewski et Karin Stein. SPIE, 2004. http://dx.doi.org/10.1117/12.511368.

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Guitton, Alexandre, Frédéric Andres, Jarbas Lopes Cardoso, Asanee Kawtrakul et Silvio E. Barbin. « Delay-tolerant mobile network protocol for rice field monitoring using wireless sensor networks ». Dans SPIE Remote Sensing, sous la direction de Christopher M. U. Neale et Antonino Maltese. SPIE, 2015. http://dx.doi.org/10.1117/12.2194085.

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Viani, F., M. Martinelli, L. Ioriatti, M. Benedetti et A. Massa. « Passive real-time localization through wireless sensor networks ». Dans 2009 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2009. http://dx.doi.org/10.1109/igarss.2009.5418189.

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« Wireless Sensor Networks and IoT [Breaker page] ». Dans 2019 International Conference on Intelligent Computing and Remote Sensing (ICICRS). IEEE, 2019. http://dx.doi.org/10.1109/icicrs46726.2019.9555881.

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Shinozuka, Masanobu, Maria Feng, Ayman Mosallam et Pai Chou. « Wireless MEMS - Sensor Networks for Monitoring and Condition Assessment of Lifeline Systems ». Dans 2007 Urban Remote Sensing Joint Event. IEEE, 2007. http://dx.doi.org/10.1109/urs.2007.371852.

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Lan, Shi, Miao Qilong et Jinglin Du. « Architecture of Wireless Sensor Networks for Environmental Monitoring ». Dans 2008 International Workshop on Geoscience and Remote Sensing (ETT and GRS). IEEE, 2008. http://dx.doi.org/10.1109/ettandgrs.2008.219.

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Kim, M., E. Lee et Y. Lee. « Simulation of Intersection Collision Avoidance System in Wireless Sensor Networks ». Dans 2006 IEEE International Symposium on Geoscience and Remote Sensing. IEEE, 2006. http://dx.doi.org/10.1109/igarss.2006.739.

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Nesterov, Vladimir, Dmitry Fedotov et Hyounkuk Kim. « Novel concept of RF hardware for remote sensing technologies ». Dans 2017 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet). IEEE, 2017. http://dx.doi.org/10.1109/wisnet.2017.7878751.

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Firdaus, Ahriman, Rois Akbar et Eko Nugroho. « Wireless Sensor Networks for microclimate telemonitoring using ZigBee and WiFi ». Dans 2014 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES). IEEE, 2014. http://dx.doi.org/10.1109/icares.2014.7024404.

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Kambhatla, Kashyap K. R., Sunil Kumar et John D. Matyjas. « Reliable multihop remote sensing and control using wireless sensor and actor networks ». Dans MILCOM 2008 - 2008 IEEE Military Communications Conference (MILCOM). IEEE, 2008. http://dx.doi.org/10.1109/milcom.2008.4753641.

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