Academic literature on the topic 'Wireless sensor , Sensor operating system'
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Journal articles on the topic "Wireless sensor , Sensor operating system"
Díez-González, Javier, Rubén Álvarez, Natalia Prieto-Fernández, and Hilde Perez. "Local Wireless Sensor Networks Positioning Reliability Under Sensor Failure." Sensors 20, no. 5 (2020): 1426. http://dx.doi.org/10.3390/s20051426.
Full textLu, Sheng Li, Qing Yun Gao, Yan Yan Tian, and Mei Ling Liu. "Atmospheric Environmental Monitoring System Based on Wireless Sensor Network." Advanced Materials Research 518-523 (May 2012): 1475–78. http://dx.doi.org/10.4028/www.scientific.net/amr.518-523.1475.
Full textLiu, Yan Ju, and Xin Hua Li. "Study on Application of Wireless Sensor Networking in Environmental Monitoring." Applied Mechanics and Materials 157-158 (February 2012): 1297–300. http://dx.doi.org/10.4028/www.scientific.net/amm.157-158.1297.
Full textKondratov, V. "Metrological Support for Wireless Sensor Systems." Cybernetics and Computer Technologies, no. 1 (March 31, 2020): 83–92. http://dx.doi.org/10.34229/2707-451x.20.1.9.
Full textFrohlich, Antonio Augusto, and Lucas Francisco Wanner. "Operating System Support for Wireless Sensor Networks." Journal of Computer Science 4, no. 4 (2008): 272–81. http://dx.doi.org/10.3844/jcssp.2008.272.281.
Full textDO, THU-THUY, DAEYOUNG KIM, TOMAS SANCHEZ LOPEZ, et al. "AN EVOLVABLE OPERATING SYSTEM FOR WIRELESS SENSOR NETWORKS." International Journal of Software Engineering and Knowledge Engineering 15, no. 02 (2005): 265–70. http://dx.doi.org/10.1142/s0218194005002026.
Full textLin, Cong, Lirong Cui, David Coit, and Min Lv. "An approximation method for evaluating the reliability of a dynamic k-out-of-n:F system subjected to cyclic alternating operation conditions." Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 231, no. 2 (2017): 109–20. http://dx.doi.org/10.1177/1748006x16689541.
Full textWei, Qing Jian, Jin Ning, Xi Zhong Lou, Ren Zhi Ma, and Jia Xu. "Software Design for Water Environment Remote Monitoring System Based on Mobile Devices." Applied Mechanics and Materials 58-60 (June 2011): 2027–32. http://dx.doi.org/10.4028/www.scientific.net/amm.58-60.2027.
Full textPieš, Martin, Radovan Hájovský, and Jan Velička. "Wireless Measuring System for Monitoring the Condition of Devices Designed to Protect Line Structures." Sensors 20, no. 9 (2020): 2512. http://dx.doi.org/10.3390/s20092512.
Full textCarrara, Michele, Pietro Catania, Giuseppe Lo Re, Marco Ortolani, and Mariangela Vallone. "AN INNOVATIVE SYSTEM FOR VINEYARD MANAGEMENT IN SICILY." Journal of Agricultural Engineering 41, no. 1 (2010): 13. http://dx.doi.org/10.4081/jae.2010.1.13.
Full textDissertations / Theses on the topic "Wireless sensor , Sensor operating system"
Famoriyo, Olusola. "THE EVALUATION OF TINYOS WITH WIRELESS SENSOR NODE OPERATING SYSTEMS." Thesis, Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-886.
Full textWireless Sensor nodes fall somewhere in between the single application devices that do
not need an operating system, and the more capable, general purpose devices with the
resources to run a traditional embedded operating system. Sensor node operating system
such as TinyOS, Contiki, MantisOS and SOS which is discussed in this paper exhibit
characteristics of both traditional embedded systems and general-purpose operating systems
providing a limited number of common services for application developers linking
software and hardware.
These common services typically include platform support, hardware management of sensors,
radios, and I/O buses and application construction etc. They also provide services
needed by applications which include task coordination, power management, adaptation
to resource constraints, and networking. The evaluation was concentrated on TinyOS
including an analysis on version 1.x and 2.x resource management and flexibility and its
operation with the other wireless sensor node operating systems.
Breza, Michael. "Bio-inspired tools for a distributed wireless sensor network operating system." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/14404.
Full textLiu, Xing. "Hybrid real-time operating system integrated with middleware for resource-constrained wireless sensor nodes." Thesis, Clermont-Ferrand 2, 2014. http://www.theses.fr/2014CLF22472/document.
Full textWith the recent advances in microelectronic, computing and communication technologies, wireless sensor network (WSN) nodes have become physically smaller and more inexpensive. As a result, WSN technology has become increasingly popular in widespread application domains. Since WSN nodes are minimized in physical size and cost, they are mostly restricted to platform resources such as processor computation ability, memory resources and energy supply. The constrained platform resources and diverse application requirements make software development on the WSN platform complicated. On the one hand, the software running on the WSN platform should be small in the memory footprint, low in energy consumption and high in execution efficiency. On the other hand, the diverse application development requirements, such as the real-time guarantee and the high reprogramming performance, should be met by the WSN software. The operating system (OS) technology is significant for the WSN proliferation. An outstanding WSN OS can not only utilize the constrained WSN platform resources efficiently, but also serve the WSN applications soundly. Currently, a set of WSN OSes have been developed, such as the TinyOS, the Contiki, the SOS, the openWSN and the mantisOS. However, many OS development challenges still exist, such as the development of a WSN OS which is high in real-time performance yet low in memory footprint; the improvement of the utilization efficiency to the memory and energy resources on the WSN platforms, and the providing of a user-friendly application development environment to the WSN users. In this thesis, a new hybrid, real-time, energy-efficient, memory-efficient, fault-tolerant and user-friendly WSN OS MIROS is developed. MIROS uses the hybrid scheduling to combine the advantages of the event-driven system's low memory consumption and the multithreaded system's high real-time performance. By so doing, the real-time scheduling can be achieved on the severely resource-constrained WSN platforms. In addition to the hybrid scheduling, the dynamic memory allocators are also realized in MIROS. Differing from the other dynamic allocation approaches, the memory heap in MIROS can be extended and the memory fragments in the MIROS can be defragmented. As a result, MIROS allocators become flexible and the memory resources can be utilized more efficiently. Besides the above mechanisms, the energy conservation mechanism is also implemented in MIROS. Different from most other WSN OSes in which the energy resource is conserved only from the software aspect, the energy conservation in MIROS is achieved from both the software aspect and the multi-core hardware aspect. With this conservation mechanism, the energy cost reduced significantly, and the lifetime of the WSN nodes prolonged. Furthermore, MIROS implements the new middleware software EMIDE in order to provide a user-friendly application development environment to the WSN users. With EMIDE, the WSN application space can be decoupled from the low-level system space. Consequently, the application programming can be simplified as the users only need to focus on the application space. Moreover, the application reprogramming performance can be improved as only the application image other than the monolithic image needs to be updated during the reprogramming process. The performance evaluation works to the MIROS prove that MIROS is a real-time OS which has small memory footprint, low energy cost and high execution efficiency. Thus, it is suitable to be used on many WSN platforms including the BTnode, IMote, SenseNode, TelosB, T-Mote Sky, etc. The performance evaluation to EMIDE proves that EMIDE has less memory cost and low energy consumption. Moreover, it supports small-size application code. Therefore, it can be used on the high resource-constrained WSN platforms to provide a user-friendly development environment to the WSN users
Zhuang, Peng Shang Yi. "Wireless sensor network aided search and rescue in trails." Diss., Columbia, Mo. : University of Missouri-Columbia, 2006. http://hdl.handle.net/10355/4626.
Full textThe entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on August 29, 2007) Includes bibliographical references.
Skelton, Adam W. "A New Wireless Sensor Node Design for Program Isolation and Power Flexibility." Thesis, University of North Texas, 2009. https://digital.library.unt.edu/ark:/67531/metadc28378/.
Full textLe, Trong Nhan. "Global power management system for self-powered autonomous wireless sensor node." Thesis, Rennes 1, 2014. http://www.theses.fr/2014REN1S048/document.
Full textThe limited energy and recharge cycles of batteries are crippling the design of autonomous Wireless Sensor Networks (WSNs). To overcome this issue, everlasting harvested energy and supercapacitor-based energy storage are considered as potential solutions to achieve a theoretically infinite lifetime. A Power Manager (PM) is embedded in each WSN node to respect the Energy Neutral Operation condition (ENO), which means harvested energy is equal to consumed energy for a long period. In this thesis, a set of PMs are proposed for energy harvesting WSN nodes to adapt their average consumed energy by changing the wake-up interval according to the available harvested energy. Our PMs are low complexity, independent of energy sources, small memory footprint and therefore, can be easily implemented on a real EH-WSN node. Another issue addressed in this thesis when considering a multi-hop EH-WSN is the effect of wake-up interval variations to the global QoS. Due to its low harvested energy, a relay node is impractical to synchronize with a transmitter if its wake-up interval regularly changes, therefore degrading the global QoS. A new power manager, named Wake-up Variation Reduction power manager (WVR-PM) is proposed to reduce the variations of the wake-up interval. By using WVR-PM, the throughput of a multi-hop EH-WSN can be improved up to 59% compare to state-of-the-art PMs while the average consumed energy for one successful communication is reduced by 45%
Dunkels, Adam. "Programming Memory-Constrained Networked Embedded Systems. PhD thesis." Doctoral thesis, Västerås : Department of Computer Science and Electronics, Mälardalen University, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-173.
Full textChis, Andréea. "Méthodes et outils pour la compilation et l'optimisation logicielle des systèmes embarqués sans fil dédiés à des applications." Phd thesis, Ecole normale supérieure de lyon - ENS LYON, 2012. http://tel.archives-ouvertes.fr/tel-00768830.
Full textPantzare, Sandra, and Elin Wollert. "Wireless Piezoelectric Horse Sensor System." Thesis, Linköpings universitet, Fysik och elektroteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-150152.
Full textChoe, Insook. "Multimedia system using wireless sensor networks /." Available to subscribers only, 2007. http://proquest.umi.com/pqdweb?did=1456296481&sid=2&Fmt=2&clientId=1509&RQT=309&VName=PQD.
Full textBooks on the topic "Wireless sensor , Sensor operating system"
Par, Gerard. Sensor Systems and Software: Second International ICST Conference, S-Cube 2010, Miami, FL, USA, December 13-15, 2010, Revised Selected Papers. Springer-Verlag GmbH Berlin Heidelberg, 2011.
Demeester, Piet. Wireless Sensor Networks: 10th European Conference, EWSN 2013, Ghent, Belgium, February 13-15, 2013. Proceedings. Springer Berlin Heidelberg, 2013.
Sotiris, Nikoletseas, Orponen Pekka, and SpringerLink (Online service), eds. Algorithms for Sensor Systems: 7th International Symposium on Algorithms for Sensor Systems, Wireless Ad Hoc Networks and Autonomous Mobile Entities, ALGOSENSORS 2011, Saarbrücken, Germany, September 8-9, 2011, Revised Selected Papers. Springer Berlin Heidelberg, 2012.
Wang, Ruchuan. Advances in Wireless Sensor Networks: 6th China Conference, CWSN 2012, Huangshan, China, October 25-27, 2012, Revised Selected Papers. Springer Berlin Heidelberg, 2013.
Rajmohan, Rajaraman, ed. Distributed computing in sensor systems: 6th IEEE International Conference, DCOSS 2010, Santa Barbara, CA, USA, June 21-23, 2010 ; proceedings. Springer, 2010.
ALGOSENSORS 2009 (2009 Rhodes, Greece). Algorithmic aspects of wireless sensor networks: 5th international workshop, ALGOSENSORS 2009, Rhodes, Greece, July 10-11, 2009 ; revised selected papers. Springer, 2009.
IEEE, International Conference on Mobile Ad-hoc and Sensor Systems (2004 Ft Lauderdale Fla ). 2004 IEEE International Conference on Mobile Ad-hoc and Sensor Systems: Fort Lauderdale, FL, 25-27 October, 2004. IEEE, 2004.
IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks (1st 2004 Santa Clara, Calif.). 2004 First Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks: IEEE SECON 2004 : 4-7 October, 2004, Santa Clara, California, USA. IEEE, 2004.
Song, Zhen. Optimal Observation for Cyber-physical Systems: A Fisher-information-matrix-based Approach. Springer London, 2009.
International Conference on Location Based Services and TeleCartography (5th 2008 Salzburg, Austria). Location based services and telecartography II: From sensor fusion to context models : 5th International Conference on Location Based Services and TeleCartography 2008, Salzburg / Georg Gartner, Karl Rehrl (eds.). Springer, 2009.
Book chapters on the topic "Wireless sensor , Sensor operating system"
Yao, Yanjun, Lipeng Wan, and Qing Cao. "System Architecture and Operating Systems." In The Art of Wireless Sensor Networks. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40009-4_21.
Full textShucker, Brian, Jeff Rose, Anmol Sheth, et al. "Embedded Operating Systems for Wireless Microsensor Nodes." In Handbook of Sensor Networks. John Wiley & Sons, Inc., 2005. http://dx.doi.org/10.1002/047174414x.ch6.
Full textMoubarak, Mohamed, and Mohamed K. Watfa. "Embedded Operating Systems in Wireless Sensor Networks." In Computer Communications and Networks. Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-218-4_13.
Full textScholl, Philipp M., Martina Brachmann, Silvia Santini, and Kristof Van Laerhoven. "Integrating Wireless Sensor Nodes in the Robot Operating System." In Studies in Computational Intelligence. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-55029-4_7.
Full textKim, Tae-Hyung, and Seongsoo Hong. "State Machine Based Operating System Architecture for Wireless Sensor Networks." In Parallel and Distributed Computing: Applications and Technologies. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30501-9_158.
Full textSinha, Amit, and Anantha P. Chandrakasan. "Operating System and Algorithmic Techniques for Energy Scalable Wireless Sensor Networks." In Mobile Data Management. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44498-x_16.
Full textRajesh, M., and B. Sreevidya. "Vulnerability Analysis of Real-Time Operating Systems for Wireless Sensor Networks." In Advances in Intelligent Systems and Computing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1483-8_38.
Full textYi, Sangho, Hong Min, Junyoung Heo, et al. "Performance Analysis of Task Schedulers in Operating Systems for Wireless Sensor Networks." In Computational Science and Its Applications - ICCSA 2006. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11751632_55.
Full textFarooq, Muhammad Omer, Sadia Aziz, and Abdul Basit Dogar. "State of the Art in Wireless Sensor Networks Operating Systems: A Survey." In Future Generation Information Technology. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17569-5_61.
Full textCasado, Lander, and Philippas Tsigas. "ContikiSec: A Secure Network Layer for Wireless Sensor Networks under the Contiki Operating System." In Identity and Privacy in the Internet Age. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04766-4_10.
Full textConference papers on the topic "Wireless sensor , Sensor operating system"
Paramo, Daniel, and Haiying Huang. "Unpowered Wireless Ultrasound Sensor." In ASME 2010 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. ASMEDC, 2010. http://dx.doi.org/10.1115/smasis2010-3745.
Full textSunder 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.
Full textWen, Yao-Jung, Alice M. Agogino, and Kai Goebel. "Fuzzy Validation and Fusion for Wireless Sensor Networks." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-60964.
Full textPohl, Nils, Stephan Stanko, Michael Caris, Axel Tessmann, and Michael Schlechtweg. "An ultra-high resolution radar-system operating at 300 GHz." In 2015 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet). IEEE, 2015. http://dx.doi.org/10.1109/wisnet.2015.7127406.
Full textNishida, Toshikazu, Jenshan Lin, Khai Ngo, et al. "Wireless Hydrogen Sensor Self-Powered Using Ambient Vibration and Light." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-14644.
Full textKulkarni, V., R. Ben-Mrad, and S. Eswar Prasad. "A Torsion Based Shear Mode Piezoelectric Energy Harvester for Wireless Sensor Modules." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-37640.
Full textSeungmin Park, Jin Won Kim, Kee-Young Shin, and Daeyoung Kim. "A nano operating system for wireless sensor networks." In 8th International Conference on Advanced Communication Technology. IEEE, 2006. http://dx.doi.org/10.1109/icact.2006.205982.
Full textMitchell, David, Anand Kulkarni, Alex Lostetter, Marcelo Schupbach, John Fraley, and Rod Waits. "Development and Testing of Harsh Environment, Wireless Sensor Systems for Industrial Gas Turbines." In ASME Turbo Expo 2009: Power for Land, Sea, and Air. ASMEDC, 2009. http://dx.doi.org/10.1115/gt2009-60316.
Full textHeidemann, John, Fabio Silva, Chalermek Intanagonwiwat, Ramesh Govindan, Deborah Estrin, and Deepak Ganesan. "Building efficient wireless sensor networks with low-level naming." In SOSP01: 18th Symposium on Operating System Principles. ACM, 2001. http://dx.doi.org/10.1145/502034.502049.
Full textLalau-Keraly, Christopher, George Daniel, Joseph Lee, and David Schwartz. "Peel-and-Stick Sensors Powered by Directed RF Energy." In ASME 2017 International Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Microsystems collocated with the ASME 2017 Conference on Information Storage and Processing Systems. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/ipack2017-74150.
Full textReports on the topic "Wireless sensor , Sensor operating system"
Pereira da Cunha, Mauricio. Wireless microwave acoustic sensor system for condition monitoring in power plant environments. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1406890.
Full textPereira da Cunha, Mauricio. INTEGRATED HARSH ENVIRONMENT GAS / TEMPERATURE WIRELESS MICROWAVE ACOUSTIC SENSOR SYSTEM FOR FOSSIL ENERGY APPLICATIONS. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1633544.
Full textMcDonald, R. J., T. A. Butcher, and R. F. Krajewski. Development of self-tuning residential oil-burner. Oxygen sensor assessment and early prototype system operating experience. Office of Scientific and Technical Information (OSTI), 1998. http://dx.doi.org/10.2172/308009.
Full textMCDONALD, R. J., T. A. BUTCHER, and R. F. KRAJEWSKI. DEVELOPMENT OF SELF-TUNING RESIDENTIAL OIL/BURNER - OXYGEN SENSOR ASSESSMENT AND EARLY PROTOTYPE SYSTEM OPERATING EXPERIENCE. Office of Scientific and Technical Information (OSTI), 1998. http://dx.doi.org/10.2172/760974.
Full textDafflon, Baptiste, S. Wielandt, S. Uhlemann, et al. Revolutionizing observations and predictability of Arctic system dynamics through next-generation dense, heterogeneous and intelligent wireless sensor networks with embedded AI. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1769774.
Full textChristie, Benjamin, Osama Ennasr, and Garry Glaspell. Autonomous navigation and mapping in a simulated environment. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42006.
Full textCAE Correlation of Sealing Pressure of a Press-in-Place Gasket. SAE Imposter, 2021. http://dx.doi.org/10.4271/2021-01-0299.
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