Academic literature on the topic 'REMOTE SENSING, WIRELESS SENSOR NETWORKS, GEOMATICS'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'REMOTE SENSING, WIRELESS SENSOR NETWORKS, GEOMATICS.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "REMOTE SENSING, WIRELESS SENSOR NETWORKS, GEOMATICS"
Moosavi, S. M. R., and 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 (December 11, 2015): 503–7. http://dx.doi.org/10.5194/isprsarchives-xl-1-w5-503-2015.
Full textTelbany, Mohammed E. El, and 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.
Full textEl Telbany, Mohammed E., and 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.
Full textJin, Yong, Zhenjiang Qian, Xiaoshuang Xing, and Lu Shen. "Opportunistic Cooperative Sensing for Indoor Complex Environment Monitoring." International Journal of Online Engineering (iJOE) 13, no. 08 (August 4, 2017): 4. http://dx.doi.org/10.3991/ijoe.v13i08.6709.
Full textAnnepu, LEELADHAR. "Cut Detection in Remote Versatile Wireless Sensor Mobile Networks." International Journal of Advances in Applied Sciences 3, no. 4 (December 1, 2014): 202. http://dx.doi.org/10.11591/ijaas.v3.i4.pp202-205.
Full textChung, Chiu Chiao, and Wei Shiang Weng. "Remote Access the ZigBee Sensor Network through the IP Network." Advanced Materials Research 684 (April 2013): 539–42. http://dx.doi.org/10.4028/www.scientific.net/amr.684.539.
Full textJi, Weishuai, and 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 (January 19, 2022): 1–11. http://dx.doi.org/10.1155/2022/3646264.
Full textNaife Alauthman, Almamoon, Wan Nor Shuhadah Wan Nik, and Nor Aida Mahiddin. "Adaptive Sensor Sensing Range to Maximise Lifetime of Wireless Sensor Network." International journal of Computer Networks & Communications 14, no. 1 (January 31, 2022): 71–83. http://dx.doi.org/10.5121/ijcnc.2022.14105.
Full textShakya, Dr Subarna. "Design of Hybrid Energy Management System for Wireless Sensor Networks in Remote Areas." Journal of Electrical Engineering and Automation 2, no. 1 (March 10, 2020): 13–24. http://dx.doi.org/10.36548/jeea.2020.1.002.
Full textWang, Jun, Xi Liang Zhang, Jin Yuan, Xiao Feng Shi, and Xin Ming Gao. "Development of Universal Multi-Function Digital Remote Control Electronic Switch Based on WSN." Key Engineering Materials 464 (January 2011): 142–45. http://dx.doi.org/10.4028/www.scientific.net/kem.464.142.
Full textDissertations / Theses on the topic "REMOTE SENSING, WIRELESS SENSOR NETWORKS, GEOMATICS"
Jiang, Meng. "Tele-cardiology sensor networks for remote ECG monitoring /." Online version of thesis, 2006. https://ritdml.rit.edu/dspace/handle/1850/2800.
Full textLeinonen, M. (Markus). "Distributed compressed data gathering in wireless sensor networks." Doctoral thesis, Oulun yliopisto, 2018. http://urn.fi/urn:isbn:9789526220451.
Full textTiivistelmä 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
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.
Full textIyiola, Samuel Oluwagbemi. "Moteino-Based Wireless Data Transfer for Environmental Monitoring." Thesis, University of North Texas, 2017. https://digital.library.unt.edu/ark:/67531/metadc984271/.
Full textSpreeth, Gideon. "Design of a low power wireless sensor network for environmental monitoring." Thesis, Stellenbosch : Stellenbosch University, 2008. http://hdl.handle.net/10019.1/1606.
Full textA 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.
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.
Full textThis 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.
Alcantara, Lehi Sttenio. "Deploying and Analyzing Air Quality Sensors in Mongolian Gers." BYU ScholarsArchive, 2021. https://scholarsarchive.byu.edu/etd/8908.
Full textMafukidze, 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.
Full textENGLISH 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.
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.
Full textDissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação
Made available in DSpace on 2018-08-24T05:13:30Z (GMT). No. of bitstreams: 1 Silva_MarcelSalvionida_M.pdf: 30571418 bytes, checksum: 4cd818ffde793df4bbebdbbf472d1b6b (MD5) Previous issue date: 2013
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
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.
Full textBooks on the topic "REMOTE SENSING, WIRELESS SENSOR NETWORKS, GEOMATICS"
1961-, Wu Jie, ed. Handbook on theoretical and algorithmic aspects of sensor, ad hoc wireless, and peer-to-peer networks. Boca Raton: Auerbach Publications, 2006.
Find full textRoundy, Shad. Energy scavenging for wireless sensor networks: With special focus on vibrations. Boston: Kluwer Academic Publishers, 2004.
Find full textZhan 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.
Find full textWu, Jie. Handbook on Theoretical and Algorithmic Aspects of Sensor, Ad Hoc Wireless, and Peer-To-Peer Networks. Auerbach Publishers, Incorporated, 2005.
Find full textWright, Paul Kenneth, Shad Roundy, and Jan M. Rabaey. Energy Scavenging for Wireless Sensor Networks: With Special Focus on Vibrations. Springer, 2003.
Find full textPowering Autonomous Sensors An Integral Approach With Focus On Solar And Rf Energy Harvesting. Springer, 2011.
Find full textBook chapters on the topic "REMOTE SENSING, WIRELESS SENSOR NETWORKS, GEOMATICS"
Lausch, Angela, Marco Heurich, Paul Magdon, Duccio Rocchini, Karsten Schulz, Jan Bumberger, and Doug J. King. "A Range of Earth Observation Techniques for Assessing Plant Diversity." In Remote Sensing of Plant Biodiversity, 309–48. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-33157-3_13.
Full textGinzburg, Ilya, Sergey Padalko, and Maxim Terentiev. "Combining Earth Remote Sensing and Land Wireless Sensor Networks Data in Smart Agriculture Information Products." In 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.
Full textKarnjana, Jessada, Suthum Keerativittayanun, Kittikom Sangrit, Pitisit Dillon, Asadang Tanatipuknon, Pakinee Aimmanee, and 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." In Springer Tracts in Civil Engineering, 169–80. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5312-4_12.
Full textDalal, Bhargavi, and Sampada Kukarni. "Wireless Sensor Networks: Applications." In Wireless Sensor Networks - Design, Deployment and Applications. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.97079.
Full textZarog, Musaab. "Self-Powering Wireless Sensor Networks in the Oil and Gas Industry." In Nanogenerators and Self-Powered Systems [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.107919.
Full textPillai, Dhanasekaran K. "New Computational Models for Image Remote Sensing and Big Data." In 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.
Full textPillai, Dhanasekaran K. "New Computational Models for Image Remote Sensing and Big Data." In Environmental Information Systems, 232–48. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7033-2.ch012.
Full textHanif Mujawar, Tabbsum, P. Prabhkar, Vijendra Chaudhary, and Lalasaheb Deshmukh. "Design and Development of Air Quality Monitoring System for Solapur City Using Smart Technologies: WSN and IoT." In Environmental Management [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.98755.
Full textZubov, Dmytro. "A Case Study on the Spatial Cognition of Surrounding Objects by the B&VI People Using Sound Patterns and Ultrasonic Sensing." In 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.
Full textConference papers on the topic "REMOTE SENSING, WIRELESS SENSOR NETWORKS, GEOMATICS"
Llorca, Jaime, Aniket Desai, Uzi Vishkin, Christopher C. Davis, and Stuart D. Milner. "Reconfigurable optical wireless sensor networks." In Remote Sensing, edited by John D. Gonglewski and Karin Stein. SPIE, 2004. http://dx.doi.org/10.1117/12.511368.
Full textGuitton, Alexandre, Frédéric Andres, Jarbas Lopes Cardoso, Asanee Kawtrakul, and Silvio E. Barbin. "Delay-tolerant mobile network protocol for rice field monitoring using wireless sensor networks." In SPIE Remote Sensing, edited by Christopher M. U. Neale and Antonino Maltese. SPIE, 2015. http://dx.doi.org/10.1117/12.2194085.
Full textViani, F., M. Martinelli, L. Ioriatti, M. Benedetti, and A. Massa. "Passive real-time localization through wireless sensor networks." In 2009 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2009. http://dx.doi.org/10.1109/igarss.2009.5418189.
Full text"Wireless Sensor Networks and IoT [Breaker page]." In 2019 International Conference on Intelligent Computing and Remote Sensing (ICICRS). IEEE, 2019. http://dx.doi.org/10.1109/icicrs46726.2019.9555881.
Full textShinozuka, Masanobu, Maria Feng, Ayman Mosallam, and Pai Chou. "Wireless MEMS - Sensor Networks for Monitoring and Condition Assessment of Lifeline Systems." In 2007 Urban Remote Sensing Joint Event. IEEE, 2007. http://dx.doi.org/10.1109/urs.2007.371852.
Full textLan, Shi, Miao Qilong, and Jinglin Du. "Architecture of Wireless Sensor Networks for Environmental Monitoring." In 2008 International Workshop on Geoscience and Remote Sensing (ETT and GRS). IEEE, 2008. http://dx.doi.org/10.1109/ettandgrs.2008.219.
Full textKim, M., E. Lee, and Y. Lee. "Simulation of Intersection Collision Avoidance System in Wireless Sensor Networks." In 2006 IEEE International Symposium on Geoscience and Remote Sensing. IEEE, 2006. http://dx.doi.org/10.1109/igarss.2006.739.
Full textNesterov, Vladimir, Dmitry Fedotov, and Hyounkuk Kim. "Novel concept of RF hardware for remote sensing technologies." In 2017 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet). IEEE, 2017. http://dx.doi.org/10.1109/wisnet.2017.7878751.
Full textFirdaus, Ahriman, Rois Akbar, and Eko Nugroho. "Wireless Sensor Networks for microclimate telemonitoring using ZigBee and WiFi." In 2014 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES). IEEE, 2014. http://dx.doi.org/10.1109/icares.2014.7024404.
Full textKambhatla, Kashyap K. R., Sunil Kumar, and John D. Matyjas. "Reliable multihop remote sensing and control using wireless sensor and actor networks." In MILCOM 2008 - 2008 IEEE Military Communications Conference (MILCOM). IEEE, 2008. http://dx.doi.org/10.1109/milcom.2008.4753641.
Full text