Academic literature on the topic 'Wireless networks of in situ sensors'

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Journal articles on the topic "Wireless networks of in situ sensors"

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Samara, Ghassan, Mohammad Hassan, and Yahya Zayed. "An Intelligent Vice Cluster Head Election Protocol in WSN." International Journal of Advances in Soft Computing and its Applications 13, no. 3 (2021): 202–22. http://dx.doi.org/10.15849/ijasca.211128.14.

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Wireless sensor networks (WSNs) has a practical ability to link a set of sensors to build a wireless network that can be accessed remotely; this technology has become increasingly popular in recent years. Wi-Fi-enabled sensor networks (WSNs) are used to gather information from the environment in which the network operates. Many obstacles prevent wireless sensor networks from being used in a wide range of fields. This includes maintaining network stability and extending network life. In a wireless network, sensors are the most essential component. Sensors are powered by a battery that has a fin
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Chavanne, Xavier, and Jean-Pierre Frangi. "A Sensor to Monitor Soil Moisture, Salinity, and Temperature Profiles for Wireless Networks." Journal of Sensor and Actuator Networks 13, no. 3 (2024): 32. http://dx.doi.org/10.3390/jsan13030032.

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This article presents a wireless in situ sensor designed to continuously monitor profiles of parameters in porous media, such as soil moisture, salinity, and temperature. A review of existing in situ soil sensors reveals that it is the only device capable of measuring the complex permittivity of the medium, allowing for conversions into moisture and salinity that are independent of the instrument. Flow perturbation and invasiveness have also been minimized to maintain good representativeness. Plans include autonomous networks of such sensors, facilitated by the use of the recent radio mode LoR
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Picanço, Giorgio Arlan da Silva, Julio Tota da Silva, Raoni Aquino Silva de Santana, and Roseilson Souza do Vale. "DESENVOLVIMENTO DE UMA SONDA ATMOSFÉRICA SEM FIO PARA ESTUDOS AMBIENTAIS DE BAIXO CUSTO." Ciência e Natura 38 (July 20, 2016): 118. http://dx.doi.org/10.5902/2179460x20112.

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This paper presents the development of a wireless atmospheric probe, designed to assist long-term environmental studies with limited financial resources. The work is based on the concept of Wireless Sensor Networks in which multiple sensors are arranged spatially in a particular region. Facilitating the monitoring of large areas without the need for large physical structures of communication and power, as cables and towers. The prototype, built with cheap material, captures temperature data, pressure and humidity, transmitting this information in real time to a remote receiver via radio freque
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Daudi, S. Simbeye. "Industrial Air Pollution Monitoring System Based on Wireless Sensor Networks." Journal of Information Sciences and Computing Technologies 6, no. 2 (2017): 612–24. https://doi.org/10.5281/zenodo.3968204.

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Environmental conditions have a major impact on our well-being, comfort and productivity. Present state of the air quality control in almost all manufacturing industries in our country is based on taking samples one or few times a day, which means that there is no information about time distribution of polluted materials intensity during day. This paper proposes an industrial air pollution monitoring system based on wireless sensor network system that enables sensor data to be delivered within time constraints so that appropriate observations can be made or actions taken. Obtaining these accur
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Chiu, Yin-Lin J., and Michele L. Reba. "Development of a Wireless Sensor Network for Tracking Flood Irrigation Management in Production-Sized Rice Fields in the Mid-South." Applied Engineering in Agriculture 36, no. 5 (2020): 703–15. http://dx.doi.org/10.13031/aea.13962.

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HighlightsDeployed a wireless sensor network to track flood irrigation management in ~255 ha production scale rice fieldsUltrasonic sensors were installed in rice fields and water level data were wirelessly transmitted for the growing seasonStudy found significant relationship between automated and manual measurement methodsPotential benefits of using wireless sensor networks are described Abstract. The inclusion of automation in agricultural irrigation may improve crop management by providing organized, site-specific, and real-time information to producers. The objective of this study was to
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Younis, Mohamed, Waleed Youssef, Mohamed Eltoweissy, and Stephan Olariu. "Safe Quality of Service Aware Management of Heterogeneous Sensor Networks." Journal of Interconnection Networks 07, no. 01 (2006): 179–93. http://dx.doi.org/10.1142/s0219265906001661.

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Wireless networked sensors are envisioned to play a vital role in the emerging pervasive service platforms that will instrument a wide range of next generation civil and military applications. Recently, we have proposed ANSWER: AutoNomouS Wireless sEnsor netwoRk as a service platform whose mission is to provide dependable information services to in-situ mobile users while satisfying their quality-of-service (QoS) requirements. Alongside with the stationary tiny sensors, the network employs more powerful mobile devices referred to as aggregation and forwarding nodes (AFNs). ANSWER exploits AFN
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Koutsoubelias, Manos, Nasos Grigoropoulos, Spyros Lalis, Petros Lampsas, Serafeim Katsikas, and Dimitrios Dimas. "System Support for the In Situ Testing of Wireless Sensor Networks via Programmable Virtual Onboard Sensors." IEEE Transactions on Instrumentation and Measurement 65, no. 4 (2016): 744–53. http://dx.doi.org/10.1109/tim.2015.2494630.

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Madokoro, Hirokazu, Osamu Kiguchi, Takeshi Nagayoshi, et al. "Development of Drone-Mounted Multiple Sensing System with Advanced Mobility for In Situ Atmospheric Measurement: A Case Study Focusing on PM2.5 Local Distribution." Sensors 21, no. 14 (2021): 4881. http://dx.doi.org/10.3390/s21144881.

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This study was conducted using a drone with advanced mobility to develop a unified sensor and communication system as a new platform for in situ atmospheric measurements. As a major cause of air pollution, particulate matter (PM) has been attracting attention globally. We developed a small, lightweight, simple, and cost-effective multi-sensor system for multiple measurements of atmospheric phenomena and related environmental information. For in situ local area measurements, we used a long-range wireless communication module with real-time monitoring and visualizing software applications. Moreo
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Ahmedi, Lule, Besmir Sejdiu, Eliot Bytyçi, and Figene Ahmedi. "An Integrated Web Portal for Water Quality Monitoring through Wireless Sensor Networks." International Journal of Web Portals 7, no. 1 (2015): 28–46. http://dx.doi.org/10.4018/ijwp.2015010102.

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Wireless sensor networks (WSNs) are aiding water quality monitoring with support for real-time and remote quality measurements in terrain. Environmental monitoring portals receiving data from sensors have been a practice since a while among researchers. However, the Web portal introduced here is essentially an integrated portal since it supports modeling and management of both, the observational stream data on water quality coming from wireless sensors – dynamic data, as well as of the data describing the WSN itself, its devices and the corresponding site allocation data – static data. Access
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Hwang, Joengmin, Tian He, and Yongdae Kim. "Exploring In-Situ Sensing Irregularity in Wireless Sensor Networks." IEEE Transactions on Parallel and Distributed Systems 21, no. 4 (2010): 547–61. http://dx.doi.org/10.1109/tpds.2009.92.

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Dissertations / Theses on the topic "Wireless networks of in situ sensors"

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Bouzid, Omar Mabrok. "In-situ health monitoring for wind turbine blade using acoustic wireless sensor networks at low sampling rates." Thesis, University of Newcastle upon Tyne, 2013. http://hdl.handle.net/10443/2239.

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The development of in-situ structural health monitoring (SHM) techniques represents a challenge for offshore wind turbines (OWTs) in order to reduce the cost of the operation and maintenance (O&M) of safety-critical components and systems. This thesis propos- es an in-situ wireless SHM system based on acoustic emission (AE) techniques. The proposed wireless system of AE sensor networks is not without its own challenges amongst which are requirements of high sampling rates, limitations in the communication bandwidth, memory space, and power resources. This work is part of the HEMOW- FP7 Project
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Souccar, Karim. "Transmission power control for wireless sensors networks." [Tampa, Fla] : University of South Florida, 2006. http://purl.fcla.edu/usf/dc/et/SFE0001664.

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Yang, Yanning. "Wireless sensor data processing for on-site emergency response." Thesis, Loughborough University, 2011. https://dspace.lboro.ac.uk/2134/8501.

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This thesis is concerned with the problem of processing data from Wireless Sensor Networks (WSNs) to meet the requirements of emergency responders (e.g. Fire and Rescue Services). A WSN typically consists of spatially distributed sensor nodes to cooperatively monitor the physical or environmental conditions. Sensor data about the physical or environmental conditions can then be used as part of the input to predict, detect, and monitor emergencies. Although WSNs have demonstrated their great potential in facilitating Emergency Response, sensor data cannot be interpreted directly due to its larg
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Le, Qiang. "Resource management for wireless networks of bearings-only sensors." Available online, Georgia Institute of Technology, 2006, 2005. http://etd.gatech.edu/theses/available/etd-12122005-142901/.

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Thesis (Ph. D.)--Electrical and Computer Engineering, Georgia Institute of Technology, 2006.<br>Chin-Hui Lee, Committee Member ; Hayriye Ayhan, Committee Member ; Jennifer E. Michaels, Committee Member ; James H. McClellan, Committee Chair ; Lance M. Kaplan, Committee Member.
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Le, Qiang. "Resource management for wireless networks of bearings-only sensors." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/10548.

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The thesis focuses on resource management or sensor allocation when we use bearings-only measurements to track targets in an unattended ground sensor (UGS) network. Intelligent resource management is necessary because each UGS sensor node has limited power and it is desirable that estimation performance not degrade very much when only a few nodes are active to maximize the effective tracking lifetime. For scheduling to prolong the tracking lifetime, a new energy-based (EB) metric is proposed to model the number of snapshots remaining for a hypothesized node set, i.e., the remaining battery ene
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Wang, Yu. "A Low-Complexity Distributed Architecture for Wireless Sensors Networks." Thesis, University of Essex, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.504839.

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Al-Wajeeh, Taha. "Efficient radio channel modeling for urban wireless sensors networks." Thesis, Poitiers, 2018. http://www.theses.fr/2018POIT2314.

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Le canal de propagation est un élément important pour la fiabilité des simulations et la conception des systèmes sans fil. Les modèles déterministes offrent un bon niveau de précision au prix d'une complexité croissante de calcul, ce qui les rend prohibitifs pour les simulateurs de réseaux de capteurs sans fil (RdC) car ils impliquent de nombreux nœuds distribués à l'échelle d’une ville. Dans ce contexte, l'objectif de cette thèse est de proposer des méthodes déterministes rapides et précises pour modéliser le comportement des ondes électromagnétiques en garantissant le juste compromis entre l
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Moussa, Mohamed Ali. "Data gathering and anomaly detection in wireless sensors networks." Thesis, Paris Est, 2017. http://www.theses.fr/2017PESC1082/document.

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L'utilisation des réseaux de capteurs sans fil (WSN) ne cesse d'augmenter au point de couvrir divers domaines et applications. Cette tendance est supportée par les avancements techniques achevés dans la conception des capteurs, qui ont permis de réduire le coût ainsi que la taille de ces composants. Toutefois, il reste plusieurs défis qui font face au déploiement et au bon fonctionnement de ce type de réseaux et qui parviennent principalement de la limitation des ressources de capteurs ainsi de l'imperfection des données collectées. Dans cette thèse, on adresse le problème de collecte de donné
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Chaves, Andrea, Bruno Mayoral, Hyun-Jin Park, Mark Tsang, and Sean Tunell. "Wireless Sensor Networks: A Grocery Store Application." International Foundation for Telemetering, 2008. http://hdl.handle.net/10150/606223.

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ITC/USA 2008 Conference Proceedings / The Forty-Fourth Annual International Telemetering Conference and Technical Exhibition / October 27-30, 2008 / Town and Country Resort & Convention Center, San Diego, California<br>This paper explains the development of a wireless network system implemented to streamline grocery store checkout procedures. The design employs a wireless telemetry network consisting of a base station and wireless motes (Micaz MPR2400) that will be located on certain aisles, and attached to shopping carts. This system allows customers to scan items while they shop and uses cas
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Neelisetti, Raghu Kisore Lim Alvin S. "Improving reliability of wireless sensor networks for target tracking using wireless acoustic sensors." Auburn, Ala., 2009. http://hdl.handle.net/10415/1931.

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Books on the topic "Wireless networks of in situ sensors"

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Mukhopadhyay, Subhas Chandra, and Henry Leung, eds. Advances in Wireless Sensors and Sensor Networks. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12707-6.

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Mukhopadhyay, Subhas Chandra. Advances in Wireless Sensors and Sensor Networks. Springer-Verlag Berlin Heidelberg, 2010.

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Zhao, Feng. Wireless sensor networks: An information processing approach. Morgan Kaufmann, 2004.

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J, Guibas Leonidas, ed. Wireless sensor networks: An information processing approach. Morgan Kaufmann, 2004.

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Intelligent, Sensors Sensor Netorks and Information Processing Conference (2004 Melbourne Australia). Proceedings of the 2004 Intelligent Sensors, Sensor Networks & Information Processing Conference: 14-17 December, 2004, Melbourne, Australia. IEEE, 2004.

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Intelligent Sensors, Sensor Networks & Information Processing Conference (2nd 2005 Melbourne, Vic.). Proceedings of the 2005 Intelligent Sensors, Sensor Networks & Information Processing Conference: 5-8 December, 2005, Melbourne, Australia. IEEE, 2006.

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Intelligent Sensors, Sensor Networks & Information Processing Conference (2nd 2005 Melbourne, Vic.). Proceedings of the 2005 Intelligent Sensors, Sensor Networks & Information Processing Conference: 5-8 December, 2005, Melbourne, Australia. IEEE, 2006.

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Hu, Fei. Intelligent Sensor Networks: The Integration of Sensor Networks, Signal Processing and Machine Learning. Taylor & Francis, 2012.

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Chen, Suren. Feasibility study of mobile scanning technology for fast damage detection of rural bridge using wireless sensors. Mountain-Plains Consortium, 2010.

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Krishnamachari, Bhaskar. Networking Wireless Sensors. Cambridge University Press, 2005.

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Book chapters on the topic "Wireless networks of in situ sensors"

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Ma, Rui, Gregory M. P. O’Hare, and Michael J. O’Grady. "Embedded Intelligence: Enabling In-Situ Power Management for Wireless Sensor Networks." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11907503_23.

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Eren, Halit. "Wireless Sensors and Networks." In Artificial Intelligence in Wireless Sensors and Instruments. CRC Press, 2024. http://dx.doi.org/10.1201/9781003541325-2.

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Liu, Qian, Juan Gu, Jingchao Yang, et al. "Cloud, Edge, and Mobile Computing for Smart Cities." In Urban Informatics. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8983-6_41.

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AbstractSmart cities evolve rapidly along with the technical advances in wireless and sensor networks, information science, and human–computer interactions. Urban computing provides the processing power to enable the integration of such technologies to improve the living quality of urban citizens, including health care, urban planning, energy, and other aspects. This chapter uses different computing capabilities, such as cloud computing, mobile computing, and edge computing, to support smart cities using the urban heat island of the greater Washington DC area as an example. We discuss the bene
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Wu, Weili, Zhao Zhang, Wonjun Lee, and Ding-Zhu Du. "Mobile Sensors." In Optimal Coverage in Wireless Sensor Networks. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52824-9_14.

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Wu, Weili, Zhao Zhang, Wonjun Lee, and Ding-Zhu Du. "Camera Sensors." In Optimal Coverage in Wireless Sensor Networks. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52824-9_15.

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Wu, Weili, Zhao Zhang, Wonjun Lee, and Ding-Zhu Du. "Underwater Sensors." In Optimal Coverage in Wireless Sensor Networks. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52824-9_17.

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Wu, Weili, Zhao Zhang, Wonjun Lee, and Ding-Zhu Du. "Heterogeneous Sensors." In Optimal Coverage in Wireless Sensor Networks. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52824-9_8.

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Papale, Leonardo, Corrado Di Natale, and Alexandro Catini. "Wireless Networks of Commercial Sensors." In Lecture Notes in Electrical Engineering. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08136-1_58.

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Wu, Weili, Zhao Zhang, Wonjun Lee, and Ding-Zhu Du. "Energy-Harvesting Sensors." In Optimal Coverage in Wireless Sensor Networks. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52824-9_16.

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Mohan Vaishnav, P. S., K. Sai Haneesh, Ch Sai Srikanth, Ch Koundinya, and Subhasri Duttagupta. "Disaster Site Map Generation Using Wireless Sensor Networks." In Inventive Computation Technologies. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33846-6_35.

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Conference papers on the topic "Wireless networks of in situ sensors"

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Tormoen, Garth, Darrell Dunn, Ashok Sabata, Bikash Sabata, and James F. Dante. "Field Deployed Corrosion Sensors on USMC Vehicles to Measure CPC Performance." In CORROSION 2008. NACE International, 2008. https://doi.org/10.5006/c2008-08201.

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Abstract Corrosion preventative compounds (CPCs) are used to slow corrosion of United States Marine Corps (USMC) assets. CPC coatings are temporary, and reapplication intervals are necessary to maintain the corrosion reducing ability of these compounds. Methods to perform condition based maintenance, including reapplication of CPCs as needed, are being sought in an effort to reduce the costs of USMC asset maintenance. To aid in this effort, coating degradation sensors integrated with a mote-based wireless network were deployed on actual USMC ground vehicles under a variety of storage options a
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Barbon, Francesco, Stefan Lindner, Sebastian Mann, Sarah Linz, Robert Weigel, and Alexander Koelpin. "Fast in-situ diode detector characterization for Six-Port interferometer receivers." In 2014 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet). IEEE, 2014. http://dx.doi.org/10.1109/wisnet.2014.6825501.

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Fang, Jianing, Chuheng Hu, Nour Smaoui, et al. "Wireless Sensor Network for in situ Soil Moisture Monitoring." In 10th International Conference on Sensor Networks. SCITEPRESS - Science and Technology Publications, 2021. http://dx.doi.org/10.5220/0010261500250036.

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Cowlyn, Joe, Xuewu Dai, and Ghanim Putrus. "Wireless sensor networks for in situ energy efficiency monitoring." In 2016 International Conference for Students on Applied Engineering (ICSAE). IEEE, 2016. http://dx.doi.org/10.1109/icsae.2016.7810240.

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Hwang, Joengmin, Tian He, and Yongdae Kim. "Exploring in-situ sensing irregularity in wireless sensor networks." In the 5th international conference. ACM Press, 2007. http://dx.doi.org/10.1145/1322263.1322291.

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Sunder Raj, Komandur. "Smart Sensor Technologies for Performance Optimization of Power Generating Assets." In ASME 2019 Power Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/power2019-1904.

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Abstract Significant research is ongoing on several fronts in smart sensor technologies for optimizing the performance of power generating assets. The initiatives include: 1. Real-time models with advanced computational algorithms, embedded intelligence at sensor and component level for reducing operating costs, improving efficiencies, and lowering emissions. 2. Optical sapphire sensors for monitoring operation and performance of critical components in harsh environments, for improving accuracy of measurements in combustion monitoring, and lowering operating costs. 3. Wireless technologies usi
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Rahman, Anisur. "The effect of in-situ underwater acoustic speed on localization of submerged sensors." In 2014 IEEE 15th International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM). IEEE, 2014. http://dx.doi.org/10.1109/wowmom.2014.6918936.

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Selavo, Leo, Gang Zhou, and John A. Stankovic. "SeeMote: In-Situ Visualization and Logging Device for Wireless Sensor Networks." In 2006 3rd International Conference on Broadband Communications, Networks and Systems. IEEE, 2006. http://dx.doi.org/10.1109/broadnets.2006.4374307.

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Weaver, Jason M., Kristin L. Wood, Richard H. Crawford, and Dan Jensen. "Design of Energy Harvesting Technology: Feasibility for Low-Power Wireless Sensor Networks." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28858.

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In designing for a system’s lifecycle considerations, long-term energy needs often become an important limiting factor. Shifting from conventional energy sources (e.g. fossil fuels) toward renewable sources (e.g. wind and solar) has become a popular means for focusing on the lifecycle of large-scale systems like automobiles and the national electrical grid. This same shift in small, low-power systems such as sensors has the additional advantage of potentially increasing the operational life of the systems. This paper introduces a methodology for determining the feasibility of in situ energy ha
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Pennington, S., T. Bauge, and B. Murray. "Integrity-Checking Framework: An In-situ Testing and Validation Framework for Wireless Sensor and Actuator Networks." In 2009 Third International Conference on Sensor Technologies and Applications (SENSORCOMM). IEEE, 2009. http://dx.doi.org/10.1109/sensorcomm.2009.95.

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Reports on the topic "Wireless networks of in situ sensors"

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Yang, Yuanyuan. Energy Efficiency Issues in Wireless Sensors Networks. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada499610.

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Hardy, J. E. Wireless Sensors and Networks for Advanced Energy Management. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/885995.

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Gong, Xun, Linan An, and Chengying Xu. Online, In-Situ Monitoring Combustion Turbines Using Wireless Passive Ceramic Sensors. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1123880.

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Feng, Philip. Transforming Ordinary Buildings into Smart Buildings via Low-Cost, Self-Powering Wireless Sensors & Sensor Networks. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1372099.

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Liu, Xingbo. Development of Self-Powered Wireless-Ready High Temperature Electrochemical Sensors for In-Situ Corrosion Monitoring for Boiler Tubes in Next Generation Coal-based Power Systems. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1312516.

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Seginer, Ido, Louis D. Albright, and Robert W. Langhans. On-line Fault Detection and Diagnosis for Greenhouse Environmental Control. United States Department of Agriculture, 2001. http://dx.doi.org/10.32747/2001.7575271.bard.

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Background Early detection and identification of faulty greenhouse operation is essential, if losses are to be minimized by taking immediate corrective actions. Automatic detection and identification would also free the greenhouse manager to tend to his other business. Original objectives The general objective was to develop a method, or methods, for the detection, identification and accommodation of faults in the greenhouse. More specific objectives were as follows: 1. Develop accurate systems models, which will enable the detection of small deviations from normal behavior (of sensors, contro
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A technology review of smart sensors with wireless networks for applications in hazardous work environments. U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, 2007. http://dx.doi.org/10.26616/nioshpub2007114.

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