Literatura científica selecionada sobre o tema "Sensor heterogeneity"
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Artigos de revistas sobre o assunto "Sensor heterogeneity"
Aderohunmu, Femi A., Jeremiah D. Deng e Martin Purvis. "Enhancing Clustering in Wireless Sensor Networks with Energy Heterogeneity". International Journal of Business Data Communications and Networking 7, n.º 4 (outubro de 2011): 18–31. http://dx.doi.org/10.4018/jbdcn.2011100102.
Texto completo da fonteKneas, Kristi A., J. N. Demas, B. A. DeGraff e Ammasi Periasamy. "Fluorescence Microscopy Study of Heterogeneity in Polymer-supported Luminescence-based Oxygen Sensors". Microscopy and Microanalysis 6, n.º 6 (novembro de 2000): 551–61. http://dx.doi.org/10.1007/s100050010052.
Texto completo da fonteXue, Xingsi, e Junfeng Chen. "A Preference-Based Multi-Objective Evolutionary Algorithm for Semiautomatic Sensor Ontology Matching". International Journal of Swarm Intelligence Research 9, n.º 2 (abril de 2018): 1–14. http://dx.doi.org/10.4018/ijsir.2018040101.
Texto completo da fonteXue, Xingsi, Chao Jiang, Jie Zhang, Hai Zhu e Chaofan Yang. "Matching sensor ontologies through siamese neural networks without using reference alignment". PeerJ Computer Science 7 (18 de junho de 2021): e602. http://dx.doi.org/10.7717/peerj-cs.602.
Texto completo da fonteXue, Xingsi, Jiawei Lu, Chengcai Jiang e Yikun Huang. "Sensor Ontology Metamatching with Heterogeneity Measures". Wireless Communications and Mobile Computing 2020 (25 de novembro de 2020): 1–10. http://dx.doi.org/10.1155/2020/6666228.
Texto completo da fonteHuang, Yikun, Xingsi Xue e Chao Jiang. "Semantic Integration of Sensor Knowledge on Artificial Internet of Things". Wireless Communications and Mobile Computing 2020 (25 de julho de 2020): 1–8. http://dx.doi.org/10.1155/2020/8815001.
Texto completo da fonteBorza, Paul Nicolae, Mihai Machedon-Pisu e Felix Hamza-Lup. "Design of Wireless Sensors for IoT with Energy Storage and Communication Channel Heterogeneity". Sensors 19, n.º 15 (31 de julho de 2019): 3364. http://dx.doi.org/10.3390/s19153364.
Texto completo da fonteChand, Satish, Samayveer Singh e Bijendra Kumar. "3-Level Heterogeneity Model for Wireless Sensor Networks". International Journal of Computer Network and Information Security 5, n.º 4 (3 de abril de 2013): 40–47. http://dx.doi.org/10.5815/ijcnis.2013.04.06.
Texto completo da fonteLi, Zhenjiangi, Wenwei Chen, Mo Li e Jingsheng Lei. "Incorporating Energy Heterogeneity into Sensor Network Time Synchronization". IEEE Transactions on Parallel and Distributed Systems 26, n.º 1 (janeiro de 2015): 163–73. http://dx.doi.org/10.1109/tpds.2014.2307890.
Texto completo da fonteZhu, Hai, Xingsi Xue, Chengcai Jiang e He Ren. "Multiobjective Sensor Ontology Matching Technique with User Preference Metrics". Wireless Communications and Mobile Computing 2021 (16 de março de 2021): 1–9. http://dx.doi.org/10.1155/2021/5594553.
Texto completo da fonteTeses / dissertações sobre o assunto "Sensor heterogeneity"
Stathopoulos, Athanasios. "Exploiting heterogeneity for routing in wireless sensor networks". Diss., Restricted to subscribing institutions, 2006. http://proquest.umi.com/pqdweb?did=1276406591&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.
Texto completo da fonteBarceló, Lladó Marc. "Wireless sensor networks in the future internet of things: density, mobility, heterogeneity and integration". Doctoral thesis, Universitat Autònoma de Barcelona, 2015. http://hdl.handle.net/10803/319688.
Texto completo da fonteWireless sensor networks (WSNs) are expected to revolutionize the way we live, work, and interact with the physical environment. Although WSNs have been in the spotlight of the research community for the last decade, their performance in practical implementations is still far behind the theoretical results. This is mainly due to the practical issues that arise in real-life scenarios. As a result, WSNs are generally limited to simple environmental sensing applications. The aim of this thesis is to reduce the gap between the theoretical and real potential of WSNs, and therefore increase their integration in society. In particular, this thesis focuses on the following four practical obstacles: high node density, node mobility, traffic heterogeneity and integration with the future Internet of Things (IoT). First, we deal with the interference problem in high density sensor deployments. We address this issue proposing a pragmatic joint routing, transmission power control and channel allocation approach, built upon the well-known RPL (Routing Protocol for Low-Power and Lossy Networks). This reduces the average packet collisions and the energy consumption of WSNs. Second, we address the low communication reliability and robustness in WSNs with mobile nodes. In particular, we propose a solution that combines RPL with a position-based routing approach based on Kalman filtering. This provides the efficiency and reliability of RPL, and also includes mobility support for non-static nodes. Third, we study the problem of QoS (Quality of Service) provisioning in WSNs managing heterogeneous traffic. With this in mind, we propose a multi-tree approach based on the construction of multiple RPL Instances. This constructs multiple virtual topologies to address the particular requirements of each traffic flow individually. Finally, we focus on the efficient integration of wireless sensors with Cloud-based IoT platforms. In particular, we propose a formulation to orchestrate the resource utilization of the whole network, taking advantage of the recent advances in virtualization and mobile cloud computing. This optimizes the overall consumption, considering the capabilities and limitations of each node, while satisfying the service requirements and the individual users' demands.
Erdenebat, Elberel. "Study of New Afton ore heterogeneity and its amenability to sensor based ore sorting". Thesis, University of British Columbia, 2017. http://hdl.handle.net/2429/62969.
Texto completo da fonteApplied Science, Faculty of
Mining Engineering, Keevil Institute of
Graduate
Sevgi, Cuneyt. "Network Dimensioning In Randomly Deployed Wireless Sensor Networks". Phd thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/2/12611213/index.pdf.
Texto completo da fonteAli, Sohail Feroz. "Heterogeneity in the population response of a human cell line to hydrogen peroxide as measured by a genetically encoded sensor". Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/79323.
Texto completo da fonteCataloged from PDF version of thesis.
Includes bibliographical references (p. 22-26).
Genetically encoded ratiometric sensors can provide valuable mechanistic understanding of biological systems. Characterization of cellular response of these sensors is the first step in validating their use. Here, we characterize the response of a genetically encoded H₂O₂ sensor, HyPer, expressed in HeLa cells. Using quantitative fluorescence microscopy, we found significant heterogeneity in HyPer response among the cell population. Further analysis showed that the variation in HyPer response was dependent on expression of HyPer protein as well as on cell cycle phase. Cells with higher levels of expressed HyPer protein showed a stronger HyPer response to H₂O₂. Cells synchronized in S-phase showed a weaker HyPer response than unsynchronized cells. It was determined that this weaker response could be a function of higher antioxidant capacity in S-phase cells. The dependence of HyPer response on these factors needs to be accounted for to avoid experimental artifacts.
by Sohail Feroz Ali.
S.M.
Atoui, Ibrahim Abdelhalim. "Data reduction techniques for wireless sensor networks using mathematical models". Thesis, Bourgogne Franche-Comté, 2018. http://www.theses.fr/2018UBFCD009.
Texto completo da fonteIn this thesis, we present energy-efficient data reduction and security techniques dedicated for wireless sensor networks. First, we propose a data aggregation model based on the similarity function that helps in removing the redundant data. In addition, based on the fitting functions we worked on sending less data features, accompanied with the fitting function that expresses all features. Second, we focus on heterogeneity of the data while studying the correlation among these multivariate features in order to enhance the data prediction technique that is based on the polynomial function, all after removing the similar measures in the aggregation phase using the Euclidean distance. Finally, we provide a rigorous security framework inherited from cryptography satisfies the level of exigence usually attained in tree-based WSNs. It prevents attackers from gaining any information about sensed data, by ensuring an end-to-end privacy between sensor nodes and the sink. In order to validate our proposed techniques, we implemented the simulations of the first technique on real readings collected from a small Sensor Scope network which is deployed at the Grand-St-Bernard, while the simulations of the second and the third techniques are conducted on real data collected from 54 sensors deployed in the Intel Berkeley Research Lab. The performance of our techniques is evaluated according to data reduction rate, energy consumption, data accuracy and time complexity
Hamidouche, Ranida. "Paradigme bio-inspiré dans les réseaux intelligents dynamiques au service de l’internet des objets". Electronic Thesis or Diss., université Paris-Saclay, 2021. http://www.theses.fr/2021UPASG066.
Texto completo da fonteToday the Internet makes it possible to connect billions of heterogeneous electronic devices and ensures communication between them. These devices have sensors designed with resource constraints that significantly affect data collection, especially memory and battery size limitations. The divergences in the characteristics of these objects require new intelligent methods to ensure communication between them. Heuristic solutions become obsolete or powerless to satisfy the user's requirement, hence a search for new methods becomes necessarily necessary to satisfy users. Among these solutions, we have those based on bio-inspired models. In this context, intending to minimize data loss, we propose different bio-inspired approaches for the mobility of the data collector and the choice of meeting points for data collection.First of all, we propose mobility inspired by the movement of Escherichia Coli bacteria. Then, we propose a technique inspired by the grouping of grey wolves and whales for the choice of meeting points. Afterward, we improve the mobility of the collector by mobility inspired by salps.Finally, we combine these approaches by taking into account the urgency of the data. The different contributions were evaluated using simulations and then were compared with similar existing work.The results obtained are very promising in terms of energy consumption and the amount of data collected
Ben, Saad Leila. "Stratégies pour améliorer la durée de vie des réseaux de capteurs sans fil". Thesis, Lyon, École normale supérieure, 2011. http://www.theses.fr/2011ENSL0689.
Texto completo da fonteImproving the network lifetime is a very challenging problem that needs to be taken into account during the deployment of wireless sensor networks (WSNs). Indeed, these networks are composed of many autonomous sensors with a limited energy supply provided by batteries which are usually difficult to recharge or replace. The scientific challenge is to ensure the operation of these networks for several years without major external intervention. To maximize the lifetime of WSNs, we first explored the possibility of introducing multiple mobile sinks. We proposed two mobility strategies. The first one provides the optimal placement in a network of small scale. The second one is based on an heuristic algorithm that ensures scalability.We were then interested in IPv6 based WSNs which use the new proposed routing protocol by IETF namely RPL. We studied this protocol, extended its capacity to manage mobile sinks andproposed an appropriate sinks mobility strategy that extends the network lifetime.Next, we proposed a novel approach which consists in applying Slepian-Wolf coding to emitted addresses in WSNs. The basic idea is to exploit the addresses correlation, guaranteed by an appropriate addresses allocation scheme, in order to reduce the header size of packets transmitted to the sink and thus improve the network lifetime.Finally, we proposed an hybrid IPv6 infrastructure for smart buildings which combines the wireless and power line technologies to guarantee energy efficiency and a longer network lifetime
Ben, Saied Yosra. "Collaborative security for the internet of things". Phd thesis, Institut National des Télécommunications, 2013. http://tel.archives-ouvertes.fr/tel-00879790.
Texto completo da fonteLegha, Wassim. "Contribution à l'élucidation de la fonction de la protéine STAC2 dans la spécification des neurones somatiques sensoriels". Thesis, Aix-Marseille 2, 2010. http://www.theses.fr/2010AIX22031/document.
Texto completo da fonteThe somatic sensory nervous system detects and transmits sensory information from peripheral by sensory neurons that have their cell body encompassed in the dorsal root and trigeminal ganglia. Although this functional heterogeneity has been demonstrated, the molecular mechanisms characterizing it are less known. In order to contribute to the molecular characterization of the neuronal population of DRG, we have identified a new gene, stac2. We have shown that stac2 specifies a distinct neuronal subpopulation in the DRG. The genetic invalidation of stac2 in mice showed no effect of stac2 on neuronal survival and maturation. The behavioral analysis of mice lacking stac2 showed an important role of this gene in the perception and discrimination of cold temperatures and in the peripheral sensitization to noxious cold
Livros sobre o assunto "Sensor heterogeneity"
Henik, Avishai, Orly Rubinsten e Sarit Ashkenazi. Developmental Dyscalculia as a Heterogeneous Disability. Editado por Roi Cohen Kadosh e Ann Dowker. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199642342.013.030.
Texto completo da fonteScadding, John. Neuropathic pain. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780198569381.003.0386.
Texto completo da fonteSiraj, Asifa. Sexuality. Edinburgh University Press, 2018. http://dx.doi.org/10.3366/edinburgh/9781474427234.003.0006.
Texto completo da fonteGosetti-Ferencei, Jennifer Anna. On Being and Becoming. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190913656.001.0001.
Texto completo da fonteClaussen, Martin, Anne Dallmeyer e Jürgen Bader. Theory and Modeling of the African Humid Period and the Green Sahara. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.532.
Texto completo da fonteCapítulos de livros sobre o assunto "Sensor heterogeneity"
Bhat, Shabir Ahmad, Iram Khan Iqbal e Ashwani Kumar. "Quantification of the Metabolic Heterogeneity in Mycobacterial Cells Through the Measurement of the NADH/NAD+ Ratio Using a Genetically Encoded Sensor". In Cellular Heterogeneity, 261–75. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-7680-5_14.
Texto completo da fonteKaur, Sukhkirandeep, e Roohie Naaz Mir. "Improving Network Lifetime by Heterogeneity in Wireless Sensor Networks". In Information and Communication Technology for Intelligent Systems (ICTIS 2017) - Volume 1, 326–33. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63673-3_40.
Texto completo da fonteBanerjee, Partha Sarathi, Satyendra Nath Mandal, Debashis De e Biswajit Maiti. "MAHI: Multiple Attribute Heterogeneity Index for Wireless Sensor Networks". In Proceedings of International Conference on Advanced Computing Applications, 299–312. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5207-3_26.
Texto completo da fonteAntonopoulos, Christos P., Konstantinos Antonopoulos, Christos Panagiotou e Nikolaos S. Voros. "Tackling Wireless Sensor Network Heterogeneity Through Novel Reconfigurable Gateway Approach". In Applied Reconfigurable Computing. Architectures, Tools, and Applications, 269–80. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-78890-6_22.
Texto completo da fonteSingh, Samayveer, Rajeev Kumar e Pradeep Kumar Singh. "An Effective Analysis and Performance Investigation of Energy Heterogeneity in Wireless Sensor Networks". In Advances in Intelligent Systems and Computing, 157–94. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-40305-8_9.
Texto completo da fonteAnerdi, C., D. Gino, M. Malavisi e G. Bertagnoli. "A Sensor for Embedded Stress Measure of Concrete: Testing and Material Heterogeneity Issues". In Lecture Notes in Civil Engineering, 385–99. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23748-6_30.
Texto completo da fonteAmmari, Habib M. "Joint Mobility and Heterogeneity for Connected k-Coverage in Sparsely Deployed Wireless Sensor Nets". In Wireless Algorithms, Systems, and Applications, 258–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31869-6_22.
Texto completo da fonteFriedl, Mark A. "Examining the Effects of Sensor Resolution and Sub-Pixel Heterogeneity on Spectral Vegetation Indices: Implications for Biophysical Modeling". In Scale in Remote Sensing and GIS, 113–39. New York: Routledge, 2023. http://dx.doi.org/10.1201/9780203740170-7.
Texto completo da fonteNichol, Janet E., Muhammad Bilal, Majid Nazeer e Man Sing Wong. "Urban Pollution". In Urban Informatics, 243–58. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8983-6_16.
Texto completo da fonteSatterlee, James D., Christine M. Suquet, Marina I. Savenkova e Chenyang Lian. "Proton NMR Characterization of Recombinant Ferric Heme Domains of the Oxygen Sensors FixL and Dos: Evidence for Protein Heterogeneity". In ACS Symposium Series, 244–57. Washington, DC: American Chemical Society, 2003. http://dx.doi.org/10.1021/bk-2003-0858.ch013.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Sensor heterogeneity"
Mache, Jens, Chieh-Yih Wan e Mark Yarvis. "Exploiting Heterogeneity for Sensor Network Security". In 2008 5th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks. IEEE, 2008. http://dx.doi.org/10.1109/sahcn.2008.80.
Texto completo da fonteBarros, Juan G., Anne Wei e Andre-Luc Beylot. "Reliable Routing Using Heterogeneity in Wireless Sensor Networks". In 2013 IEEE 78th Vehicular Technology Conference (VTC Fall). IEEE, 2013. http://dx.doi.org/10.1109/vtcfall.2013.6692391.
Texto completo da fonteRamadan, Rabie, Khaled Abdelghany, Hesham El-Rewini e Manal Houri. "Impact of Heterogeneity on the Deployment of Sensor Networks". In 3rd International ICSTConference on Wireless Internet. ICST, 2007. http://dx.doi.org/10.4108/pwsn.2007.2267.
Texto completo da fonteIqbal, Hassan, Muhammad Hamad Alizai, Zartash Afzal Uzmi e Olaf Landsiedel. "Taming Link-layer Heterogeneity in IoT through Interleaving Multiple Link-Layers over a Single Radio". In SenSys '17: The 15th ACM Conference on Embedded Network Sensor Systems. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3131672.3136966.
Texto completo da fonteKatiyar, Vivek, Narottam Chand e Surender Soni. "Improving lifetime of large-scale Wireless Sensor Networks through heterogeneity". In 2011 International Conference on Emerging Trends in Electrical and Computer Technology (ICETECT 2011). IEEE, 2011. http://dx.doi.org/10.1109/icetect.2011.5760270.
Texto completo da fonteQin, Hua, Xuejia Lu, Yanfei Wang, Guiling Wang, Wensheng Zhang e Yaying Zhang. "Heterogeneity-Aware Design for Automatic Detection of Problematic Road Conditions". In 2011 IEEE 8th International Conference on Mobile Ad-Hoc and Sensor Systems (MASS). IEEE, 2011. http://dx.doi.org/10.1109/mass.2011.32.
Texto completo da fonteYadav, Akash, Anandghan Waghmare e Ashok Singh Sairam. "Exploiting node heterogeneity for time synchronization in low power sensor networks". In 2014 International Conference on Contemporary Computing and Informatics (IC3I). IEEE, 2014. http://dx.doi.org/10.1109/ic3i.2014.7019758.
Texto completo da fonteZhu, Tailang, e Dongfan Xie. "Analysis of Interdriver Heterogeneity Based on Trajectory Data with K-means Clustering Method". In 2016 International Conference on Sensor Network and Computer Engineering. Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/icsnce-16.2016.12.
Texto completo da fonteLee, Chul-Ho, e Do Young Eun. "Exploiting Heterogeneity in Mobile Opportunistic Networks: An Analytic Approach". In 2010 7th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON). IEEE, 2010. http://dx.doi.org/10.1109/secon.2010.5508265.
Texto completo da fonteLee, Chul-Ho, e Do Young Eun. "Exploiting Heterogeneity to Prolong the Lifetime of Large-Scale Wireless Sensor Networks". In ICC 2011 - 2011 IEEE International Conference on Communications. IEEE, 2011. http://dx.doi.org/10.1109/icc.2011.5963081.
Texto completo da fonteRelatórios de organizações sobre o assunto "Sensor heterogeneity"
Arango-Arango, Carlos A., Yanneth Rocío Betancourt-García e Manuela Restrepo-Bernal. An Application of the Tourist Test to Colombian Merchants. Banco de la República, outubro de 2021. http://dx.doi.org/10.32468/be.1176.
Texto completo da fonteJury, William A., e David Russo. Characterization of Field-Scale Solute Transport in Spatially Variable Unsaturated Field Soils. United States Department of Agriculture, janeiro de 1994. http://dx.doi.org/10.32747/1994.7568772.bard.
Texto completo da fonteCooper, Christopher, Jacob McDonald e Eric Starkey. Wadeable stream habitat monitoring at Congaree National Park: 2018 baseline report. National Park Service, junho de 2021. http://dx.doi.org/10.36967/nrr-2286621.
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