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Littérature scientifique sur le sujet « Wireless communication and smart sensors »

Auteur : Grafiati

Publié le 2 juin 2025

Mis à jour le 31 juillet 2025

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Articles de revues sur le sujet "Wireless communication and smart sensors"

K N, Ravi Kumar. "Smart Energy Meter Using Global System for Mobile Communication." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 02 (2025): 1–9. https://doi.org/10.55041/ijsrem41540.

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In this project Hybrid Smart Home and Prepaid Energy Meter Using GSM has been presented to adoptively reduce the Negligent and unnecessary power consumption in home. The proposed system has three main components namely Sensor Block, wireless system (GSM) and Energy meter. Microcontroller and sensor units are used to implement smart home, based on sensor outputs the electrical appliances are controlled. On the other hand, wireless modules have been used to implement the wireless system using GSM. The main goal of this system is to control home appliances by using SMS. Key Words: Smart Energy Me

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Zhang, Yiying, Suxiang Zhang, and Yuemin Ding. "Research on the Influence of Sensor Network Communication in the Electromagnetic Environment of Smart Grid." Journal of Electrical and Computer Engineering 2016 (2016): 1–12. http://dx.doi.org/10.1155/2016/8252901.

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Smart grid adopts wildly various sensors for lots of applications to sense work environment, monitor production process and realize the automation control, and so forth. However, due to the wireless and open communication, the electromagnetic phenomena in the communication and the electric network of the sensor network usually produce the mutual interference. Meanwhile, electrical equipment and sensors are usually in high pressure electromagnetic environment. Therefore, it is very necessary and important to ensure the reliability and stability in smart grid applications. And the sensing and co

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Fu, Yuguang, Kirill Mechitov, Tu Hoang, Jong R. Kim, Deuck Hang Lee, and Billie F. Spencer. "Development and full-scale validation of high-fidelity data acquisition on a next-generation wireless smart sensor platform." Advances in Structural Engineering 22, no. 16 (2019): 3512–33. http://dx.doi.org/10.1177/1369433219866093.

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Although wireless smart sensor platforms have been available over a decade, only a limited number of full-scale wireless smart sensor–based structural health monitoring implementations have been realized. Most wireless smart sensor platforms that are validated in full-scale implementations have now become obsolete and are no longer commercially available. While wireless sensing capabilities have grown, presenting significant opportunities, obstacles to wide application of wireless smart sensor for structural health monitoring exist both in terms of hardware and software. This article assesses

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Huang, Chunxin, Yan Yao, and Lina Wei. "Sensor Network Solutions for Aircraft Route Scheduling and Parking Allocation with Localization and Synchronization." Scalable Computing: Practice and Experience 25, no. 1 (2024): 1–10. http://dx.doi.org/10.12694/scpe.v25i1.2391.

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The Wireless Sensor Network (WSN) is the modernized version of the sensor networking, earlier the concerned networking system used to be wired. The wireless and modified features have been able to increase the efficiencies of the networking in routing scheduling of aircraft and allocating the parking. This new approach to the WSN system is not much different from the typical sensor networks framework that contains sensors, a communication system, and a controller. Instead of a communication system, a wireless protocol is applied within the sensor network. The smart system of parking has effect

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Khan, Mohammad Monirujjaman, and Tabia Hossain. "Compact Planar Inverted F Antenna (PIFA) for Smart Wireless Body Sensors Networks." Engineering Proceedings 2, no. 1 (2020): 63. http://dx.doi.org/10.3390/ecsa-7-08253.

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In this paper a dual band, a dual band Planar Inverted F antenna (PIFA) is designed for wireless communication intended to be used in wireless body sensor networks. The designed PIFA operates at two different frequency bands, 2.45 GHz Industrial, Scientific and Medical band (ISM) and 5.2 GHz (HiperLAN band). In body-centric wireless networks, antennas need to be integrated with wireless wearable sensors. An antenna is an essential part of wearable body sensor networks. For on-body communications, antennas need to be less sensitive to human body effects. For body-centric communications, wearabl

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Degoankar, Kishori. "Smart Accident Prevention System Using Wireless Technology." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (2024): 3632–35. http://dx.doi.org/10.22214/ijraset.2024.60454.

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Abstract: This research presents a Smart Helmet integrating tilt, gyro, touch, RF433, I2C, LCD, Arduino, LED, and buzzer technologies. Tilt and gyro sensors monitor head movements for accident prevention. A touch sensor allows hands-free control, while RF433 enables wireless communication. I2C ensures seamless sensor integration. Arduino manages data processing, safety algorithms, and device control. The LCD displays critical information, and LED and buzzer provide real-time alerts. The system enhances user safety, communication, and situational awareness in industrial, sports, and emergency c

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Journal, IJSREM. "WIRELESS SENSOR NETWORK IN SMART AGRICULTURE." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 01 (2024): 1–10. http://dx.doi.org/10.55041/ijsrem28324.

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This paper offers a comprehensive overview of wireless sensor networks (WSNs) in smart agriculture, emphasizing their significance in leveraging technological advancements. It explores the role of sensors in agriculture, the WSN technology, and applications across various agricultural aspects. Communication protocols like Zigbee, Wi-Fi, and LoRaWAN are discussed for seamless data transmission within smart agriculture systems. The paper concludes by outlining future trends, showcasing WSNs' potential for fostering sustainable and efficient farming practices.

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Židek, Kamil, and Alexander Hošovský. "Wireless Device Based on MEMS Sensors and Bluetooth Low Energy (LE/Smart) Technology for Diagnostics of Mechatronic Systems." Applied Mechanics and Materials 460 (November 2013): 13–21. http://dx.doi.org/10.4028/www.scientific.net/amm.460.13.

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This paper deals with usability of MEMS sensors for diagnostics of mechatronics system state wirelessly. We can acquire basic kinematics and dynamics mechanism parameters (spatial position, speed, acceleration, vibration, angular rate, orientation, etc.) and some environment condition (local/remote temperature, humidity, pressure, electromagnetic noise) by MEMS sensors. Acquired data are sent to remote application in desktop computer. This system can replace expensive and separate diagnostic tools by small integrated solution with one wireless communication interface (with limitation of MEMS s

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Chavan, Pooja. "SMART WIRELESS BATTERY CHARGER WITH CHARGING MONITER." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem32071.

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Smart wearables for health monitoring are new technologies that enable customers to monitor and track their health. However, as the number of sensors in a wearable device grows, along with continuous monitoring and wireless communications, battery lifetime and charge length become a big concern. This issue is especially relevant for health monitoring of workers in hazardous environments such as emergency response responders, mining, and construction. In this research, we describe a wireless charging system for a health monitoring smart-wear application for workers, taking into account the powe

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Huang, Yimeng, Longzhi Yuan, and Wei Gong. "Research on IEEE 802.11 OFDM Packet Detection Algorithms for Household Wireless Sensor Communication." Applied Sciences 12, no. 14 (2022): 7232. http://dx.doi.org/10.3390/app12147232.

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Millions of smart home devices equipped with wireless sensors have gradually entered people’s homes and improved the quality of life. Wireless communication with sensors is crucial for remote automatic control of smart devices. Packet detection is one of the key technologies in wireless communication systems and faces the challenges of detection accuracy and power consumption. In households, WiFi devices are widely deployed. Therefore, we focus on IEEE 802.11 OFDM packet detection algorithms for household wireless sensor communication. We first introduce four packet detection algorithms and ve

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Thèses sur le sujet "Wireless communication and smart sensors"

Horyachyy, Oleh. "Comparison of Wireless Communication Technologies used in a Smart Home : Analysis of wireless sensor node based on Arduino in home automation scenario." Thesis, Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-14845.

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Context. Internet of Things (IoT) is an extension of the Internet, which now includes physical objects of the real world. The main purpose of Internet of Things is to increase a quality of people’s daily life. A smart home is one of the promising areas in the Internet of Things which increases rapidly. It allows users to control their home devices anytime from any location in the world using Internet connectivity and automate their work based on the physical environment conditions and user preferences. The main issues in deploying the architecture of IoT are the security of the communication b

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Pinarer, Ozgun. "Sustainable Declarative Monitoring Architecture : Energy optimization of interactions between application service oriented queries and wireless sensor devices : Application to Smart Buildings." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSEI126/document.

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La dernière décennie a montré un intérêt croissant pour les bâtiments intelligents. Les bâtiments traditionnels sont les principaux consommateurs d’une partie importante des ressources énergétiques, d'où le besoin de bâtiments intelligents a alors émergé. Ces nouveaux bâtiments doivent être conçus selon des normes de construction durables pour consommer moins. Ces bâtiments intelligents sont devenus l’un des principaux domaines d’application des environnements pervasifs. En effet, une infrastructure basique de construction de bâtiment intelligent se compose notamment d’un ensemble de capteurs

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Reinhardt, Andreas [Verfasser], Ralf [Akademischer Betreuer] Steinmetz, Adam [Akademischer Betreuer] Wolisz, and Matthias [Akademischer Betreuer] Hollick. "Designing Sensor Networks for Smart Spaces - Unified Interfacing and Energy-Efficient Communication between Wireless Sensor and Actuator Nodes / Andreas Reinhardt. Betreuer: Ralf Steinmetz ; Adam Wolisz ; Matthias Hollick." Darmstadt : Universitäts- und Landesbibliothek Darmstadt, 2011. http://d-nb.info/1106113314/34.

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Sundaravadivel, Prabha. "Application-Specific Things Architectures for IoT-Based Smart Healthcare Solutions." Thesis, University of North Texas, 2018. https://digital.library.unt.edu/ark:/67531/metadc1157532/.

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Human body is a complex system organized at different levels such as cells, tissues and organs, which contributes to 11 important organ systems. The functional efficiency of this complex system is evaluated as health. Traditional healthcare is unable to accommodate everyone's need due to the ever-increasing population and medical costs. With advancements in technology and medical research, traditional healthcare applications are shaping into smart healthcare solutions. Smart healthcare helps in continuously monitoring our body parameters, which helps in keeping people health-aware. It provides

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Liu, Luyan. "Wireless Communication in Smart Housing." Thesis, Linnéuniversitetet, Institutionen för fysik och elektroteknik (IFE), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-37631.

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With the development of computer and information technology, information and network will be the inevitable trend of smart home which aims to offer a comfortable, efficient, and convenient home. In this thesis, the background, developments and limitations of smart home systems will be described. Wired and wireless technologies applied on the smart home network will be analyzed and a comparison of them will be made. Finally, the ZigBee technology is selected to design the wireless communication network. For the system design, the thesis describes an idea where cluster topology is chosen to desi

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Myers, Robert L. "SMART SENSORS VS DISTRIBUTED DATA ACQUISITION." International Foundation for Telemetering, 2001. http://hdl.handle.net/10150/606371.

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International Telemetering Conference Proceedings / October 22-25, 2001 / Riviera Hotel and Convention Center, Las Vegas, Nevada<br>Distributed processing is coming to data acquisition. The desire for smart sensors that can preprocess data, is growing. Making sensors themselves intelligent will reverse the historic trend toward smaller and cheaper sensors. Incorporating current sensor technology into data acquisition nodes in a network will create a distributed data acquisition, DAQ, environment that can acquire data from around the world over the Internet. The future is now.

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Moghe, Rohit. "Smart sensors for utility assets." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/44729.

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This dissertation presents the concept of a small, low-cost, self-powered smart wireless sensor that can be used for monitoring current, temperature and voltage on a variety of utility assets. Novel energy harvesting approaches are proposed that enable the sensor to operate without batteries and to have an expected life of 20-30 years. The sensor measures current flowing in an asset using an open ferromagnetic core, unlike a CT which uses a closed core, which makes the proposed sensor small in size, and low-cost. Further, it allows the sensor to operate in conjunction with different assets hav

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Zen, Kartinah. "MAC protocol design considerations for efficient mobility in wireless sensor networks." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2010. https://ro.ecu.edu.au/theses/1869.

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Research in wireless sensor networks (WSNs) has evolved with advancements in low power devices technology during the last decade. The driving applications in WSNs are habitat and environmental monitoring. However, sensors can also be applied in smart homes, health monitoring, vehicles tracking, military, and fire detection. Since batterypowered sensors are intended to be left for months or years without human intervention, computational algorithms and communication protocols for WSNs focus more on energy conservation rather than throughput and delay as in other wireless networks. Recently, WSN

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Sarr, Ndéye Bineta. "Communications protocols for wireless sensor networks in perturbed environment." Thesis, Poitiers, 2019. http://www.theses.fr/2019POIT2255/document.

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Cette thèse s'inscrit dans le domaine du Smart Grid. Les SGs améliorent la sécurité des réseaux électriques et permettent une utilisation adaptée de l'énergie disponible de manière limitée. Ils augmentent également l'efficacité énergétique globale en réduisant la consommation. L'utilisation de cette technologie est la solution la plus appropriée car elle permet une gestion plus efficace de l'énergie. Dans ce contexte, des compagnies comme Hydro-Québec déploient des réseaux de capteurs pour contrôler les principaux équipements. Pour réduire les coûts de déploiement et la complexité du câblage,

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Grisostomi, Massimo. "New technologies for smart environments: from wireless sensors networks to domotics." Doctoral thesis, Università Politecnica delle Marche, 2014. http://hdl.handle.net/11566/242758.

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Il concetto di smart environment, conosciuto anche come ambient intelligence, sta riscuotendo sempre più importanza a livello globale negli ultimi anni. Con il termine ambient intelligence si intende un ecosistema di oggetti che interagiscono con gli utenti e fra di loro con la capacità di auto-organizzarsi, fornire servizi e manipolare dati complessi. La disponibilità di sensori dalle dimensioni e costi sempre più ridotti, la crescente diffusione di tecnologie che permettono nna connettività a livello globale e la disponibilità di dispositivi di calcolo diffusi e portatili come smartph

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Livres sur le sujet "Wireless communication and smart sensors"

Chaki, Rituparna, Agostino Cortesi, Suparna DasGupta, and Soumyabrata Saha, eds. Smart Systems and Wireless Communication. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-1348-9.

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Horn, Gert van der. Integrated smart sensors: Design and calibration. Kluwer Academic Publishers, 1998.

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Okamoto, Garret T. Smart Antenna Systems and Wireless LANs. Kluwer Academic Publishers, 2002.

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David, Hill, ed. Smart client architecture and design guide: Patterns & practices. Microsoft, 2004.

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Janaswamy, Ramakrishna. Radiowave propagation and smart antennas for wireless communications. Kluwer Academic, 2002.

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Veerla, Anil Kumar. Smart blood pressure monitoring system. National University, 2010.

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Bandyopadhyay, Somprakash. Enhancing the performance of ad hoc wireless networks with smart antennas. Auerbach Publications, 2005.

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Sangyōshō, Japan Keizai. UHF-tai denshi tagu shisutemu no kōdo ri-katsuyō fukyū sokushin ni kansuru chōsa kenkyū hōkokusho: Heisei 17-nendo Keizai Sangyōshō itaku jigyō. Nihon Jidō Ninshiki Shisutemu Kyōkai, 2006.

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Matin, Mohammad A. Wideband, multiband, and smart reconfigurable antennas for modern wireless communications. Information Science Reference, 2015.

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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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Chapitres de livres sur le sujet "Wireless communication and smart sensors"

Naresh, B., Vinod Kumar Singh, and V. K. Sharma. "Solar Rectenna to Power Wireless Sensors and Implanted Electronic Applications." In International Conference on Intelligent Computing and Smart Communication 2019. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0633-8_62.

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Sinha, Adwitiya, Manju, and Samayveer Singh. "Connectivity and Communication in Wireless Sensor Networks." In Metaheuristics and Reinforcement Techniques for Smart Sensor Applications. Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781003427780-8.

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Chandan, T. V., R. Chaitra Kumari, Renu Tekam, and B. V. Shruti. "Smart Waste Monitoring Using Wireless Sensor Networks." In Emerging Research in Computing, Information, Communication and Applications. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6001-5_28.

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Anil Boyal, Akanksha Deo, Amit Kr Pandey, and Amit Limba. "Harvesting Electric Field Energy for Powering Wireless Sensors of Smart Grid." In Proceedings of the International Conference on Recent Cognizance in Wireless Communication & Image Processing. Springer India, 2016. http://dx.doi.org/10.1007/978-81-322-2638-3_46.

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Sharma, Pawan Kumar, Jaspreet Singh, Yogita, and Vipin Pal. "Low Power Communication in Wireless Sensor Networks and IoT." In Smart Sensor Networks Using AI for Industry 4.0. CRC Press, 2021. http://dx.doi.org/10.1201/9781003145028-14.

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Kaur, Amanpreet, Padam Kumar, and Govind P. Gupta. "Sensor Nodes Localization for 3D Wireless Sensor Networks Using Gauss–Newton Method." In Smart Innovations in Communication and Computational Sciences. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8968-8_16.

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Singh, Santar Pal, and S. C. Sharma. "Performance Evaluation of Improved Localization Algorithm for Wireless Sensor Networks." In Smart Innovations in Communication and Computational Sciences. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8968-8_21.

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Balhwan, Suman, Deepali Gupta, Sonal, and S. R. N. Reddy. "Smart Parking—A Wireless Sensor Networks Application Using IoT." In Proceedings of 2nd International Conference on Communication, Computing and Networking. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1217-5_22.

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Mehak and Padmavati Khandnor. "Energy Efficient Data Aggregation Using Multiple Mobile Agents in Wireless Sensor Network." In Smart Innovations in Communication and Computational Sciences. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8968-8_24.

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Dias, Bruno Sousa, Cicero Matheus da Silva Lacerda, Nailson Martins Dantas Landim, Humberto Xavier Araujo, and Starley do Nascimento Lobo. "Wireless Sensor Network for Environmental Monitoring in Smart Cities." In Smart Grids—Renewable Energy, Power Electronics, Signal Processing and Communication Systems Applications. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-37909-3_14.

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Actes de conférences sur le sujet "Wireless communication and smart sensors"

A, Karunakaran, Yarlagadda Shailaja, M. Gopila, R. Kanchana, L. Venkateswarlu, and R. Rajalakshmi. "B2BIoT: Efficient and Secured Wireless Body-to-Body Data Communication by using Smart Wearable Sensors." In 2024 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES). IEEE, 2024. https://doi.org/10.1109/icses63760.2024.10910264.

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G N, Basavaraj, J. V. Rama Kumar, K. S. Jayareka, T. B. Sivakumar, Raja Rajeswari Balaji, and A. Backia Abinaya. "Machine Learning in Smart Cities: Survey of Wireless Sensor Network Applications." In 2024 International Conference on Communication, Computing and Energy Efficient Technologies (I3CEET). IEEE, 2024. https://doi.org/10.1109/i3ceet61722.2024.10993915.

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Katterbauer, Klemens, and Abdallah Al Shehri. "Smart MIMO-OFDM Wireless Communication Frameworks for Subsurface Wireless Sensor." In SPE Asia Pacific Oil & Gas Conference and Exhibition. SPE, 2022. http://dx.doi.org/10.2118/210750-ms.

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Abstract Wireless communication in subsurface wells and reservoir has been a major challenge in ensuring robust data transmission, and reliable communication between the sensors. Challenges from the multiple reflection as well as other external factors, makes subsurface communication a unique challenge for modern communication algorithms. While multiple-Input, multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) communication has been extensively implemented in wireless communication for signal processing, unique challenges arise in subsurface reservoirs caused by unknown for

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Winkler, Thomas, and Bernhard Rinner. "Power aware communication in wireless pervasive smart camera networks." In 2009 International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP). IEEE, 2009. http://dx.doi.org/10.1109/issnip.2009.5416760.

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Koschel, Leszek, Kim Mahler, Robert Felbecker, and Matthias Frey. "RF-MIMO for smart metering communication under harsh conditions." In 2014 IEEE Conference on Wireless Sensors (ICWiSe). IEEE, 2014. http://dx.doi.org/10.1109/icwise.2014.7042661.

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Lee, Hyeong Jae, Mircea Badescu, Yoseph Bar-Cohen, Xiaoqi Bao, Shannon P. Jackson, and Stewart Sherrit. "Piezoelectric charging and wireless communication." In Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, edited by Hoon Sohn. SPIE, 2018. http://dx.doi.org/10.1117/12.2296645.

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Cooper, James R., and Manos M. Tentzeris. "Novel “smart cube” wireless sensors with embedded processing/communication/power core for “smart skins” applications." In 2012 IEEE Sensors. IEEE, 2012. http://dx.doi.org/10.1109/icsens.2012.6411499.

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Hidayat, Rahmad, Rushendra, and Ellisa Agustina. "Digital beamforming of smart antenna in millimeterwave communication." In 2017 International Conference on Broadband Communication, Wireless Sensors and Powering (BCWSP). IEEE, 2017. http://dx.doi.org/10.1109/bcwsp.2017.8272564.

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Dariz, Luca, Michele Selvatici, Massimiliano Ruggeri, and Reza Abrishambaf. "Smart and wearable wireless sensors: Scenario analysis and communication issues." In 2016 IEEE International Conference on Industrial Technology (ICIT). IEEE, 2016. http://dx.doi.org/10.1109/icit.2016.7475063.

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Priya, Shashank, Dan Popa, and Frank Lewis. "Energy Efficient Mobile Wireless Sensor Networks." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-14078.

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Wireless sensor networks (WSN) have tremendous potential in many environmental and structural health monitoring applications including, gas, temperature, pressure and humidity monitoring, motion detection, and hazardous materials detection. Recent advances in CMOS-technology, IC manufacturing, and networking utilizing Bluetooth communications have brought down the total power requirements of wireless sensor nodes to as low as a few hundred microwatts. Such nodes can be used in future dense ad-hoc networks by transmitting data 1 to 10 meters away. For communication outside 10 meter ranges, data

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Rapports d'organisations sur le sujet "Wireless communication and smart sensors"

Tutumluer, Erol, Bill Spencer, Riley Edwards, Kirill Mechitov, Syed Husain, and Issam Qamhia. Sensing Infrastructure for Smart Mobility—Wireless Continuous Monitoring for I-ACT. Illinois Center for Transportation, 2022. http://dx.doi.org/10.36501/0197-9191/22-019.

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This report proposes a suite of wireless sensing solutions for continuous transportation-infrastructure monitoring. First, various traditional and modern sensors and sensing platforms are described in detail, based on their principles of operation, suitability for transportation-infrastructure monitoring, and issues concerning their use. Then, a suitability-assessment survey conducted to select suitable inter-sensor and sensor-to-cloud communication technology for lower bandwidth and higher bandwidth requiring sensors is presented. Important observations are made, and conclusions are drawn bas

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Risso, Antea. Zero-Power Wireless Infrared Digitizing Sensors for Large Scale Energy-Smart Farm. Office of Scientific and Technical Information (OSTI), 2025. https://doi.org/10.2172/2526322.

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Esener, Sadik. Optical Interconnects for Smart Antenna Driver-Receiver-Switch System for Wireless Communication. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada412178.

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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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Kwiat, Paul, Eric Chitambar, Andrew Conrad, and Samantha Isaac. Autonomous Vehicle-Based Quantum Communication Network. Illinois Center for Transportation, 2022. http://dx.doi.org/10.36501/0197-9191/22-020.

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Quantum communication was demonstrated using autonomous vehicle-to-vehicle (V2V), as well as autonomous vehicle-to-infrastructure (V2I). Supporting critical subsystems including compact size, weight, and power (SWaP) quantum sources; optical systems; and pointing, acquisition, and tracking (PAT) subsystems were designed, developed, and tested. Novel quantum algorithms were created and analyzed, including quantum position verification (QPV) for mobile autonomous vehicles. The results of this research effort can be leveraged in support of future cross-platform, mobile quantum communication netwo

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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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