Literatura académica sobre el tema "Wireless Data Collection"
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Artículos de revistas sobre el tema "Wireless Data Collection"
Dohare, Anand, Tulika y Mallikarjuna B. "Data Collection in Wireless Sensor Networks Using Prediction Method". Journal of Advanced Research in Dynamical and Control Systems 11, n.º 0009-SPECIAL ISSUE (25 de septiembre de 2019): 815–20. http://dx.doi.org/10.5373/jardcs/v11/20192637.
Texto completoKumar, N. B. S. Vijay, D. Venkatesh D. Venkatesh y K. Ramesh K. Ramesh. "Rapid Data Collection in Wireless Sensor Networks Organized as Trees". International Journal of Scientific Research 2, n.º 5 (1 de junio de 2012): 223–26. http://dx.doi.org/10.15373/22778179/may2013/74.
Texto completoTapia, Andrea y Carleen Maitland. "WIRELESS DEVICES FOR HUMANITARIAN DATA COLLECTION". Information, Communication & Society 12, n.º 4 (junio de 2009): 584–604. http://dx.doi.org/10.1080/13691180902857637.
Texto completopatel, Shubham. "DATA COLLECTION IN WIRELESS SENSOR NETWORKS". International Journal of Recent Advancement in Engineering & Research 2, n.º 5 (14 de mayo de 2017): 23. http://dx.doi.org/10.24128/ijraer.2017.ij9de.
Texto completoLi, Kai, Wei Ni, Lingjie Duan, Mehran Abolhasan y Jianwei Niu. "Wireless Power Transfer and Data Collection in Wireless Sensor Networks". IEEE Transactions on Vehicular Technology 67, n.º 3 (marzo de 2018): 2686–97. http://dx.doi.org/10.1109/tvt.2017.2772895.
Texto completoA.Dharmadhikari, Pramod, B. M. Patil y V. M. Chandode. "Reliable Data Collection in Wireless Sensor Networks". International Journal of Computer Applications 61, n.º 18 (18 de enero de 2013): 32–37. http://dx.doi.org/10.5120/10031-5075.
Texto completoAyars, Eric y Estella Lai. "Using XBee transducers for wireless data collection". American Journal of Physics 78, n.º 7 (julio de 2010): 778–81. http://dx.doi.org/10.1119/1.3427415.
Texto completoHan, Xiao Wei, Jing Lin Duan y Jian Zhang. "Design of Environmental Monitoring Data Collection Repeater". Advanced Materials Research 955-959 (junio de 2014): 1112–15. http://dx.doi.org/10.4028/www.scientific.net/amr.955-959.1112.
Texto completoNandha kumar, R. "An Efficient Data Collection Protocol in Wireless Networks". International Journal of Ad hoc, Sensor & Ubiquitous Computing 3, n.º 4 (31 de agosto de 2012): 11–19. http://dx.doi.org/10.5121/ijasuc.2012.3402.
Texto completoB, Nandhini y Srie Vidhya Janani E. "ENERGY EFFICIENT DATA COLLECTION IN WIRELESS SENSOR NETWORK". ICTACT Journal on Communication Technology 04, n.º 03 (1 de septiembre de 2013): 796–801. http://dx.doi.org/10.21917/ijct.2013.0113.
Texto completoTesis sobre el tema "Wireless Data Collection"
Rasul, Aram Mohammed. "Data collection in wireless sensor networks". Thesis, University of Leicester, 2016. http://hdl.handle.net/2381/37606.
Texto completoHassanzadeh, Navid. "Scalable Data Collection for Mobile Wireless Sensor Networks". Thesis, KTH, Kommunikationsnät, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-98818.
Texto completoHung, Ka-Lok. "The fair data collection problem in wireless sensor networks /". View abstract or full-text, 2006. http://library.ust.hk/cgi/db/thesis.pl?COMP%202006%20HUNG.
Texto completoTall, Hamadoun. "Load balancing in multichannel data collection wireless sensor networks". Thesis, Université Clermont Auvergne (2017-2020), 2018. http://www.theses.fr/2018CLFAC006/document.
Texto completoThe popularity of wireless sensor networks (WSNs) is increasing due to their ease ofdeployment and auto-configuration capabilities. They are used in different applica-tion domains including data collection with convergecast scenarios. In convergecast,all data collected in the network is destined to one common node usually called thesink. In case of high carried traffic load and depending on the used routing policy,this many-to-one data collection leads to congestion and queue overflow mainly innodes located near the sink. Congestion and queue overflow reduce delivery ratiothat negatively affects the network efficiency.Wireless sensor nodes are resource constrained devices with limited buffers sizeto store and forward data to the sink. Introducing multichannel communication inWSNs helps to increase the carried traffic load thanks to allowing parallel data trans-mission and reduction of contention and interference. With high traffic load, thenumber of data packets travelling from leaf nodes towards the sink becomes higher.In case the routing scheme does not balance the traffic load, it will be unfairly dis-tributed between forwarding nodes. Thus, nodes that are in part of the routing will beoverloaded while others are less used. Overloaded nodes increase the risk of conges-tion and queue overflow leading to data loss that reduces the throughput. Therefore,we need to couple the routing protocols with traffic load balancing scheme in hightraffic load network scenarios.The goal of this thesis is to propose an efficient routing solution to prevent con-gestion and queue overflow in high data rate convergecast WSNs, in such a way, tooptimize data delivery ratio at the sink node.On the one hand, we proposed a single channel traffic load balancing routingprotocol, named S-CoLBA (Single channel Collaborative Load balancing routing).It relies on data queueing delay metric and best score (according to the value of themetric) next hop neighbors to fairly distribute traffic load in per hop basis in the net-work. Since the carried traffic load increases in multichannel communication, onthe other hand, we adapted our contribution to cope with multichannel WSNs andwe named it as Multichannel CoLBA (M-CoLBA). As broadcasting information isnot straightforward in multichannel, we optimize M-CoLBA to use piggybackingscheme for routing information sharing in the network. This enhanced version iscalled ABORt for Acknowledgement-Based opportunistic Routing protocol and re-lies on ACK frames to share routing information. Doing so helps to optimize dataframe end-to-end delay and to reduce the transmitted beacons in the network. ABORtfairly distributes traffic load in the network and avoids congestion and queue over-flow.We evaluated the performance of our contributions in both simulation using Con-tiki OS Cooja simulator and experiment (only for S-CoLBA) on TelosB motes. Ob-tained results in both simulation and experiment confirm the efficiency of our routingprotocols in term of packet delivery ratio and queue overflow compared to some ex-isting routing protocols in the literature
Rodhe, Ioana. "Secure and Privacy-Aware Data Collection in Wireless Sensor Networks". Doctoral thesis, Uppsala universitet, Avdelningen för datorteknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-180087.
Texto completoWISENET
Garcia, Juliette. "Opportunistic data collection and routing in segmented wireless sensor networks". Thesis, Toulouse 3, 2020. http://www.theses.fr/2020TOU30153.
Texto completoThe regular monitoring of operations in both movement areas (taxiways and runways) and non-movement areas (aprons and aircraft parking spots) of an airport, is a critical task for its functioning. The set of strategies used for this purpose include the measurement of environmental variables, the identification of foreign object debris (FOD), and the record of statistics of usage for diverse sections of the surface. According to a group of airport managers and controllers interviewed by us, the wide monitoring of most of these variables is a privilege of big airports due to the high acquisition, installation and maintenance costs of most common technologies. Due to this limitation, smaller airports often limit themselves to the monitoring of environmental variables at some few spatial points and the tracking of FOD performed by humans. This last activity requires stopping the functioning of the runways while the inspection is conducted. In this thesis, we propose an alternative solution based on Wireless Sensor Network (WSN) which, unlike the other methods/technologies, combines the desirable properties of low installation and maintenance cost, scalability and ability to perform measurements without interfering with the regular functioning of the airport. Due to the large extension of an airport and the difficulty of placing sensors over transit areas, the WSN might result segmented into a collection of subnetworks isolated from each other and from the sink. To overcome this problem, our proposal relies on a special type of node called Mobile Ubiquitous LAN Extension (MULE), able to move over the airport surface, gather data from the subnetworks along its way and eventually transfer it to the sink. One of the main demands for the deployment of any new system in an airport is that it must have little or no interference with the regular operations. This is why the use of an opportunistic approach for the transfer of data from the subnetworks to the MULE is favored in this thesis. By opportunistic we mean that the role of MULE will be played by some of the typical vehicles already existing in an airport doing their normal displacements, and the subnetworks will exploit any moment of contact with them to forward data to the sink. A particular characteristic of the MULEs in our application is that they move along predefined structured trajectories (given by the layout of the airport), having eventual contact with the set of nodes located by the side of the road (so-called subsinks). This implies the need for a data routing strategy to be used within each subnetwork, able to lead the collected data from the sensor nodes to the subsinks and distribute the data packets among them so that the time in contact with the MULE is used as efficiently as possible. In this thesis, we propose a routing protocol which undertakes this task. Our proposed protocol is named ACME, standing for ACO-based routing protocol for MULE-assisted WSNs.[...]
Chippa, Mukesh Kumar. "Performance of Tree-Based Data Collection in Wireless Sensor Systems". University of Akron / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=akron1312209206.
Texto completoBasheer, Al-Qassab. "Reliability of Data Collection and Transmission in Wireless Sensor Networks". Youngstown State University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1377472863.
Texto completoPinjala, Mallikarjuna Rao. "Adhoc routing based data collection application in wireless sensor networks". Kansas State University, 2010. http://hdl.handle.net/2097/6235.
Texto completoDepartment of Computing and Information Sciences
Gurdip Singh
Ad hoc based routing protocol is a reactive protocol to route messages between mobile nodes. It allows nodes to pass messages through their neighbors to nodes which they cannot directly communicate. It uses Route Request (RREQ) and Route Reply (RREP) messages for communication. Wireless sensor networks consist of tiny sensor motes with capabilities of sensing, computation and wireless communication. This project aims to implement data collector application to collect the temperature data from the set of wireless sensor devices located within a building, which will help in gathering the information by finding the route with minimum number of hops to reach destination and generates low message traffic by not encouraging the duplicate message within the network. Using this application, wireless devices can communicate effectively to provide the network information to the user. This system consists of a mobile wireless sensor device called base station which is connected to a PC to communicate and is the root of the network. It also consists of set of client sensor devices which are present in different parts of the building. This project has been evaluated by determining how well the ad hoc protocol performs by measuring the number of messages and time consumed in learning about the complete topology. This application will eventually find the path with minimum number of hops. Simple Network Management Protocol (SNMP) is also used to monitor the sensor nodes remotely. This project was developed using nesC and C programming languages with TinyOS and UNIX based operating systems. It has been tested with a sufficient number of motes and evaluated based on the number of messages generated and number of hops traveled for each route request.
Xu, Gang. "QoI-Aware Data Collection for Mobile Users in Wireless Sensor Networks". Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-196385.
Texto completoLibros sobre el tema "Wireless Data Collection"
Latona, John. Tetherless trucking: Mobile data opportunities in the trucking industry. Alexandria, VA: Telecom Pub. Group, 1994.
Buscar texto completoH.R. ________ [sic]: A discussion draft addressing broadband mapping and data collection : hearing before the Subcommittee on Telecommunications and the Internet of the Committee on Energy and Commerce, House of Representatives, One Hundred Tenth Congress, first session, May 17, 2007. Washington: U.S. G.P.O., 2008.
Buscar texto completoCapítulos de libros sobre el tema "Wireless Data Collection"
Suhonen, Jukka, Mikko Kohvakka, Ville Kaseva, Timo D. Hämäläinen y Marko Hännikäinen. "Sensor Data Collection". En Low-Power Wireless Sensor Networks, 61–70. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-2173-3_6.
Texto completoQin, Zhan. "Privacy-Preserving Data Collection". En Encyclopedia of Wireless Networks, 1106–9. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-78262-1_302.
Texto completoQin, Zhan. "Privacy-Preserving Data Collection". En Encyclopedia of Wireless Networks, 1–3. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-32903-1_302-1.
Texto completoZhang, Kuan y Xuemin Shen. "Secure Health Data Collection in MHN". En Wireless Networks, 21–45. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24717-5_3.
Texto completoKuznetsov, Roman y Valeri Chipulis. "Wireless Data Collection in Power System". En Lecture Notes in Electrical Engineering, 21–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-41671-2_4.
Texto completoJi, Shouling, Jing (Selena)He y Yingshu Li. "Optimizing Data Collection Capacity in Wireless Networks". En Handbook of Combinatorial Optimization, 2503–47. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-7997-1_78.
Texto completoLi, Kai y Kien A. Hua. "Mobile Data Collection Networks for Wireless Sensors". En Communications in Computer and Information Science, 200–211. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30721-8_20.
Texto completoIfzarne, Samir, Imad Hafidi y Nadia Idrissi. "Secure Data Collection for Wireless Sensor Network". En Emerging Trends in ICT for Sustainable Development, 241–48. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-53440-0_26.
Texto completoVasani, Meet J. y Satish Maurya. "Efficient Data Collection in Wireless Sensor Network". En Computer Networks and Inventive Communication Technologies, 17–31. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3728-5_2.
Texto completoFouquet, Marc, Christian Hoene, Morten Schläger y Georg Carle. "Data Collection for Heterogeneous Handover Decisions in beyond 3G Networks". En Wireless and Mobile Networking, 347–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03841-9_31.
Texto completoActas de conferencias sobre el tema "Wireless Data Collection"
Tzung-Cheng Chen, Tzung-Shi Chen y Ping-Wen Wu. "Data collection in wireless sensor networks assisted by mobile collector". En 2008 1st IFIP Wireless Days (WD). IEEE, 2008. http://dx.doi.org/10.1109/wd.2008.4812895.
Texto completoYin, Kaicheng y Chaosheng Zhong. "Data collection in wireless sensor networks". En 2011 IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS). IEEE, 2011. http://dx.doi.org/10.1109/ccis.2011.6045040.
Texto completoGul, Omer Melih. "Fair Data Collection in Wireless Networks". En 2021 29th Signal Processing and Communications Applications Conference (SIU). IEEE, 2021. http://dx.doi.org/10.1109/siu53274.2021.9477894.
Texto completoMartincic, Fernando y Loren Schwiebert. "Adaptive data collection in sensor networks". En 2009 2nd IFIP Wireless Days (WD). IEEE, 2009. http://dx.doi.org/10.1109/wd.2009.5449655.
Texto completoFotiou, Nikos, Vasilios A. Siris, Alexandros Mertzianis y George C. Polyzos. "Smart IoT Data Collection". En 2018 IEEE 19th International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM). IEEE, 2018. http://dx.doi.org/10.1109/wowmom.2018.8449766.
Texto completoPonnusamy, Vasaki, Low Tang Jung y Anang Hudaya. "Mobile data collection in Wireless Sensor Network". En 2013 IEEE Malaysia International Conference on Communications (MICC). IEEE, 2013. http://dx.doi.org/10.1109/micc.2013.6805812.
Texto completoWang, Chao, Huadong Ma, Yuan He y Shuguang Xiong. "Approximate Data Collection for Wireless Sensor Networks". En 2010 IEEE 16th International Conference on Parallel and Distributed Systems (ICPADS). IEEE, 2010. http://dx.doi.org/10.1109/icpads.2010.32.
Texto completoRomdhani, Bilel, Dominique Barthel y Fabrice Valois. "Data collection in heterogeneous wireless sensor networks". En the Asian Internet Engineeering Conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2402599.2402603.
Texto completoZhu, Yuting y Jeff Kilby. "Wireless Data Collection of Surface Electromyography Signals". En 2011 7th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2011. http://dx.doi.org/10.1109/wicom.2011.6040369.
Texto completoCoutinho, Rodolfo W. L. y Azzedine Boukerche. "Data Collection in Underwater Wireless Sensor Networks". En MSWiM '17: 20th ACM Int'l Conference on Modelling, Analysis and Simulation of Wireless and Mobile Systems. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3127540.3134267.
Texto completoInformes sobre el tema "Wireless Data Collection"
Kim, David. Wireless Data Collection System for Real-Time Arterial Travel Time Estimates: Final Report. Portland State University Library, marzo de 2011. http://dx.doi.org/10.15760/trec.23.
Texto completoNidal, Jodeh M. Optimal UAS Assignments and Trajectories for Persistent Surveillance and Data Collection from a Wireless Sensor Network. Fort Belvoir, VA: Defense Technical Information Center, diciembre de 2015. http://dx.doi.org/10.21236/ad1003575.
Texto completoKrogmeier, J. y Darcy Bullock. Statewide Wireless Communications Project,Volume 3 - Data Collection and Signal Processing for Improvement of Road Profiling and Proof of Concept of a Vehicle-Inftrastructure Based Road Surface Monitoring Application. West Lafayette, IN: Purdue University, 2008. http://dx.doi.org/10.5703/1288284314220.
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