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Статті в журналах з теми "Wireless sensor networks Quality control"
Singh, Kamred Udham, Ankit Kumar, Linesh Raja, Vikas Kumar, Alok Kumar Singh kushwaha, Neeraj Vashney, and Manoj Chhetri. "An Artificial Neural Network-Based Pest Identification and Control in Smart Agriculture Using Wireless Sensor Networks." Journal of Food Quality 2022 (May 17, 2022): 1–12. http://dx.doi.org/10.1155/2022/5801206.
Повний текст джерелаBok, Kyoungsoo, Eunkyung Ryu, Junho Park, Jaijin Jung, and Jaesoo Yoo. "Multimedia congestion control in wireless sensor networks." Computer Science and Information Systems 12, no. 2 (2015): 801–21. http://dx.doi.org/10.2298/csis141009027b.
Повний текст джерелаBruneo, D., A. Puliafito, and M. Scarpa. "Energy control in dependable wireless sensor networks: a modelling perspective." Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 225, no. 4 (July 20, 2011): 424–34. http://dx.doi.org/10.1177/1748006x10397845.
Повний текст джерелаTati, Reza, Fariborz Ahmadi, Farhad Jafari, and Mostafa Tofighi. "Quality of Service Support in Wireless Sensor Networks." Key Engineering Materials 467-469 (February 2011): 2078–84. http://dx.doi.org/10.4028/www.scientific.net/kem.467-469.2078.
Повний текст джерелаShiltagh, Nadia, and Zainab Faisal. "Traffic Management in Wireless Sensor Network Based on Modified Neural Networks." Iraqi Journal for Computers and Informatics 41, no. 1 (December 31, 2014): 4–8. http://dx.doi.org/10.25195/ijci.v41i1.90.
Повний текст джерелаJin, Yong, Jian Cai, Huan Dai, Kaijian Xia, and Ping Xu. "Lightweight QoE Driven and Invulnerability Guarantee Opportunistic Control Scheme for Wireless Sensor Networks." International Journal of Online Engineering (iJOE) 12, no. 08 (August 30, 2016): 19. http://dx.doi.org/10.3991/ijoe.v12i08.5726.
Повний текст джерелаP.Barde, Vaishali. "A PERUSAL STUDY OF METHODS FOR ENERGY EFFICIENT MULTI OBJECT TRACKING IN WIRELESS SENSOR NETWORKS." International Research Journal of Computer Science 8, no. 12 (December 31, 2021): 279–82. http://dx.doi.org/10.26562/irjcs.2021.v0812.002.
Повний текст джерелаLi, Xiaomin, Lixue Zhu, Xuan Chu, and Han Fu. "Edge Computing-Enabled Wireless Sensor Networks for Multiple Data Collection Tasks in Smart Agriculture." Journal of Sensors 2020 (February 25, 2020): 1–9. http://dx.doi.org/10.1155/2020/4398061.
Повний текст джерелаShakir, Mustafa, Obaid Ur Rehman, Zeeshan Abbas, Abdullah Masood, and Wajeeha Shahid. "Evaluation of Video Quality in Wireless Multimedia Sensor Networks." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 1 (February 1, 2016): 223. http://dx.doi.org/10.11591/ijece.v6i1.7573.
Повний текст джерелаShakir, Mustafa, Obaid Ur Rehman, Zeeshan Abbas, Abdullah Masood, and Wajeeha Shahid. "Evaluation of Video Quality in Wireless Multimedia Sensor Networks." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 1 (February 1, 2016): 223. http://dx.doi.org/10.11591/ijece.v6i1.pp223-234.
Повний текст джерелаДисертації з теми "Wireless sensor networks Quality control"
Bildea, Ana. "Link Quality in Wireless Sensor Networks." Thesis, Grenoble, 2013. http://www.theses.fr/2013GRENM054/document.
Повний текст джерелаThe goal of the thesis is to investigate the issues related to the temporal link quality variation in large scale WSN environments, to design energy efficient link quality estimators able to distinguish among links with different quality on a short and a long term. First, we investigate the characteristics of two physical layer metrics: RSSI (Received Signal Strength Indication) and LQI (Link Quality Indication) on SensLAB, an indoor large scale wireless sensor network testbed. We observe that RSSI and LQI have distinct values that can discriminate the quality of links. Second, to obtain an estimator of PRR, we have fitted a Fermi-Dirac function to the scatter diagram of the average and standard variation of LQI and RSSI. The function enables us to find PRR for a given level of LQI. We evaluate the estimator by computing PRR over a varying size window of transmissions and comparing with the estimator. Furthermore, we show using the Gilbert-Elliot two-state Markov model that the correlation of packet losses and successful receptions depend on the link category. The model allows to accurately distinguish among strongly varying intermediate links based on transition probabilities derived from the average and the standard variation of LQI. Finally, we propose a link quality routing model driven from the F-D fitting functions and the Markov model able to discriminate accurately link categories as well as high variable links
LI, I.-HUNG. "Phase and Rate Control for Improving Information Quality in 802.15.4 Wireless Sensor." OpenSIUC, 2010. https://opensiuc.lib.siu.edu/theses/396.
Повний текст джерелаNkwogu, Daniel Nnaemeka. "Quality of service optimization and adaptive learning in wireless sensor actuator networks for control applications." Thesis, University of Aberdeen, 2014. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=215699.
Повний текст джерелаHughes, Jack Bryan. "Real-time link quality estimation and holistic transmission power control for wireless sensor networks." Thesis, University of Huddersfield, 2018. http://eprints.hud.ac.uk/id/eprint/34661/.
Повний текст джерелаSharif, Atif. "Reliable, congestion aware transport layer protocol for heterogeneous wireless sensor networks." Thesis, Curtin University, 2011. http://hdl.handle.net/20.500.11937/87.
Повний текст джерелаBoubrima, Ahmed. "Deployment and scheduling of wireless sensor networks for air pollution monitoring." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSEI018.
Повний текст джерелаWireless sensor networks (WSN) are widely used in environmental applications where the aim is to sense a physical phenomenon such as temperature, humidity, air pollution, etc. In this context of application, the use of WSN allows to understand the variations of the phenomenon over the monitoring region and therefore be able to take adequate decisions regarding the impact of the phenomenon. Due to the limitations of its traditional costly monitoring methods in addition to its high spatial and temporal variability, air pollution is considered as one of the main physical phenomena that still need to be studied and characterized. In this thesis, we consider three main applications regarding the use of WSN for air pollution monitoring: 1) the construction of real time air quality maps using sensor measurements; 2) the detection of pollution threshold crossings; and 3) the correction of physical models that simulate the pollution dispersion phenomenon. All these applications need careful deployment and scheduling of sensors in order to get a better knowledge of air pollution while ensuring a minimal deployment cost and a maximal lifetime of the deployed sensor network. Our aim is to tackle the problems of WSN deployment and scheduling while considering the specific characteristics of the air pollution phenomenon. We propose for each application case a new efficient approach for the deployment of sensor and sink nodes. We also propose a WSN scheduling approach that is adapted to the case of physical models’ correction. Our optimization approaches take into account the physical nature of air pollution dispersion and incorporate real data provided by the existing pollution sensing platforms. As part of each approach, we use integer linear programming to derive optimization models that are well adapted to solving small and medium instances. To deal with large instances, we propose heuristic algorithms while using linear relaxation techniques. Besides our theoretical works on air pollution monitoring, we design from scratch and deploy in the Lyon city a cost-effective energy-efficient air pollution sensor network. Based on the characteristics of our monitoring system in addition to real world air pollution datasets, we evaluate the effectiveness of our deployment and scheduling approaches and provide engineering insights for the design of WSN-based air pollution monitoring systems. Among our conclusions, we highlight the fact that the size of the optimal sensor network depends on the degree of the variations of pollution concentrations within the monitoring region
Speer, Ngoc Anh Phan. "Design and Analysis of Adaptive Fault Tolerant QoS Control Algorithms for Query Processing in Wireless Sensor Networks." Diss., Virginia Tech, 2008. http://hdl.handle.net/10919/27221.
Повний текст джерелаPh. D.
Dargie, Waltenegus. "Impact of Random Deployment on Operation and Data Quality of Sensor Networks." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2010. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-32911.
Повний текст джерелаStucki, Eric Thomas. "Medium Access Control and Networking Protocols for the Intra-Body Network." Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1182.pdf.
Повний текст джерелаSouil, Marion. "Contribution à la qualité de service dans les réseaux de capteurs sans fil." Phd thesis, Université de Technologie de Compiègne, 2013. http://tel.archives-ouvertes.fr/tel-00919777.
Повний текст джерелаКниги з теми "Wireless sensor networks Quality control"
Consorzio Nazionale Interuniversitario per le Telecomunicazioni, IEEE South and Central Italy Section, IEEE Communications Society, and Tirrenia International Workshop on Digital Communications (18th : 2007 : University of Padova, Italy), eds. Wireless Communications: 2007 CNIT Thyrrenian Symposium. New York: Springer Science + Business Media, 2008.
Знайти повний текст джерелаCan, Vuran Mehmet, ed. Wireless sensor networks. Chichester, West Sussex, U.K: Wiley, 2010.
Знайти повний текст джерела1979-, Gschwender Adam, ed. ZigBee wireless sensor and control network. Upper Saddle River, NJ: Prentice Hall, 2010.
Знайти повний текст джерелаElahi, Ata. ZigBee wireless sensor and control network. Upper Saddle River, NJ: Prentice Hall, 2010.
Знайти повний текст джерелаElahi, Ata. ZigBee wireless sensor and control network. Upper Saddle River, NJ: Prentice Hall, 2010.
Знайти повний текст джерелаSanti, Paolo. Topology Control in Wireless Ad Hoc and Sensor Networks. New York: John Wiley & Sons, Ltd., 2005.
Знайти повний текст джерелаSanti, Paolo. Topology Control in Wireless Ad Hoc and Sensor Networks. Chichester, UK: John Wiley & Sons, Ltd, 2005. http://dx.doi.org/10.1002/0470094559.
Повний текст джерелаTopology control in wireless ad hoc and sensor networks. Chichester, UK: John Wiley & Sons, 2004.
Знайти повний текст джерелаLiu, Jilei. Topology control in wireless sensor and mobile ad hoc networks. Ottawa: National Library of Canada, 2002.
Знайти повний текст джерелаAl-Kashoash, Hayder. Congestion Control for 6LoWPAN Wireless Sensor Networks: Toward the Internet of Things. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-17732-4.
Повний текст джерелаЧастини книг з теми "Wireless sensor networks Quality control"
Seelam, Koteswararao, Kathala Krishna Chaitanya Rao, Komal Vyas, and Thanuku Aishwarya. "A Novel Contention Resolution Protocol for Wireless Sensor Networks." In ICICCT 2019 – System Reliability, Quality Control, Safety, Maintenance and Management, 449–56. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8461-5_50.
Повний текст джерелаSpyrou, Evangelos D., and Dimitrios K. Mitrakos. "Optimising Wireless Sensor Network Link Quality Through Power Control with Non-convex Utilities Using Game Theory." In Ad-hoc, Mobile, and Wireless Networks, 255–61. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67910-5_21.
Повний текст джерелаAnil Kumar, Kakelli, Addepalli V. N. Krishna, and K. Shahu Chatrapati. "Congestion Control in Heterogeneous Wireless Sensor Networks for High-Quality Data Transmission." In Proceedings of the International Congress on Information and Communication Technology, 429–37. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0755-2_46.
Повний текст джерелаDudin, Alexander, Chesoong Kim, and Sergey Dudin. "Optimal Control by the Queue with Rate and Quality of Service Depending on the Amount of Harvested Energy as a Model of the Node of Wireless Sensor Network." In Distributed Computer and Communication Networks, 165–78. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-36614-8_13.
Повний текст джерелаPriyadarshini, Sushree Bibhuprada B. "Concentric Quadrivial Scalar Premier Selection Scheme Based on Sensing Region Segregation (CQSPS-SRS): An Innovative Marching Towards Optimum Camera Actuation and Enhanced Event Coverage in Wireless Multimedia Sensor Networks." In ICICCT 2019 – System Reliability, Quality Control, Safety, Maintenance and Management, 494–501. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8461-5_56.
Повний текст джерелаSelmic, Rastko R., Vir V. Phoha, and Abdul Serwadda. "Quality of Service." In Wireless Sensor Networks, 179–96. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46769-6_7.
Повний текст джерелаChai, Senchun, Zhaoyang Wang, Baihai Zhang, Lingguo Cui, and Runqi Chai. "Coverage Control in Wireless Sensor Networks." In Wireless Networks, 143–87. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5757-6_4.
Повний текст джерелаChallen, Geoffrey, and Matt Welsh. "Volcano Monitoring: Addressing Data Quality Through Iterative Deployment." In Wireless Sensor Networks, 71–113. Boston, MA: Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-5834-1_4.
Повний текст джерелаHuseth, Steve, and Soumitri Kolavennu. "Localization in Wireless Sensor Networks." In Wireless Networking Based Control, 153–74. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-7393-1_7.
Повний текст джерелаMester, Gyula, Istvan Matijevics, Tamas Szepe, and Janos Simon. "Wireless Sensor-Based Robot Control." In Computer Communications and Networks, 275–77. London: Springer London, 2010. http://dx.doi.org/10.1007/978-1-84996-510-1_16.
Повний текст джерелаТези доповідей конференцій з теми "Wireless sensor networks Quality control"
Kaur, Harminder, and Sharvan Kumar Pahuja. "MAC Protocols for Wireless Body Sensor Network." In International Conference on Women Researchers in Electronics and Computing. AIJR Publisher, 2021. http://dx.doi.org/10.21467/proceedings.114.33.
Повний текст джерелаSundararajan, V., Andrew Redfern, Michael Schneider, Paul Wright, and James Evans. "Wireless Sensor Networks for Machinery Monitoring." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-82224.
Повний текст джерелаOnur, E., C. Ersoy, and H. Delic. "On the quality of deployment in wireless sensor networks." In 2005 Proceedings of the 8th International Conference on Telecommunications. IEEE, 2005. http://dx.doi.org/10.1109/contel.2005.185950.
Повний текст джерелаXu, Hongli, Liusheng Huang, Junmin Wu, Gang Wang, and Wang Liu. "Delay-Constraint Topology Control in Wireless Sensor Networks Format." In 5th International ICST Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness. ICST, 2008. http://dx.doi.org/10.4108/icst.qshine2008.3815.
Повний текст джерелаBiao Song, Wendong Xiao, and Zhaohui Zhang. "Quality of estimation guaranteed energy efficient sensor selection in wireless sensor networks." In 2014 11th World Congress on Intelligent Control and Automation (WCICA). IEEE, 2014. http://dx.doi.org/10.1109/wcica.2014.7052962.
Повний текст джерелаPrathiba, B., K. Jaya Sankar, and V. Sumalatha. "Enhancing the data quality in wireless sensor networks — A review." In 2016 International Conference on Automatic Control and Dynamic Optimization Techniques (ICACDOT). IEEE, 2016. http://dx.doi.org/10.1109/icacdot.2016.7877626.
Повний текст джерелаLei Chen, Boleslaw K. Szymanski, and Joel W. Branch. "Quality-driven congestion control for target tracking in wireless sensor networks." In 2008 5th IEEE International Conference on Mobile Ad Hoc and Sensor Systems (MASS). IEEE, 2008. http://dx.doi.org/10.1109/mahss.2008.4660115.
Повний текст джерелаHe, Liang, Boyang Yu, and Jingdong Xu. "LQATC: Link Quality Assured Topology Control Algorithm in Sensor Networks." In 2010 6th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2010. http://dx.doi.org/10.1109/wicom.2010.5601387.
Повний текст джерелаChen, Ing-Ray, Anh Phan Speer, and Mohamed Eltoweissy. "Dynamic adaptive redundancy for quality-of-service control in wireless sensor networks." In Distributed Processing (IPDPS). IEEE, 2009. http://dx.doi.org/10.1109/ipdps.2009.5161181.
Повний текст джерелаHuang, Pei, Chen Wang, Li Xiao, and Hongyang Chen. "RC-MAC: A receiver-centric medium access control protocol for wireless sensor networks." In 2010 IEEE 18th International Workshop on Quality of Service (IWQoS). IEEE, 2010. http://dx.doi.org/10.1109/iwqos.2010.5542740.
Повний текст джерелаЗвіти організацій з теми "Wireless sensor networks Quality control"
Aman Behal, Sunil Kumar, and Goodarz Ahmadi. Intelligent Control via Wireless Sensor Networks for Advanced Coal Combustion Systems. Office of Scientific and Technical Information (OSTI), August 2007. http://dx.doi.org/10.2172/934579.
Повний текст джерелаHansen, Jeffrey, Scott Hissam, B. C. Meyers, Ed Morris, Daniel Plakosh, Soumya Simanta, and Lutz Wrage. Adaptive Flow Control for Enabling Quality of Service in Tactical Ad Hoc Wireless Networks. Fort Belvoir, VA: Defense Technical Information Center, December 2010. http://dx.doi.org/10.21236/ada536719.
Повний текст джерела