Academic literature on the topic 'Distributed Sensor Network'

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Journal articles on the topic "Distributed Sensor Network"

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Swapna, Bamuli. "Scalable Network Architectures for Distributed Wireless Sensor Networks." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 06 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem36083.

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Advances in sensor era and laptop networks have enabled allotted sensor networks (DSNs) to evolve from small clusters of large sensors to big swarms of micro sensors, from constant sensor nodes to mobile nodes, from stressed out communications to wireless communications, from static community topology to dynamically converting topology. To layout those networks, the factors needed to be considered are the coverage place, mobility, power intake, communication Skills and so on. In this study a survey is given regarding the analysis of AC structure and DHC shape, flat tree and DG community, senso
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Bao, Xi Rong, Yue Huang, and Shi Zhang. "A Distributed Motion Algorithm for Mobile Sensor in Hybrid Wireless Sensor Networks." Applied Mechanics and Materials 719-720 (January 2015): 812–17. http://dx.doi.org/10.4028/www.scientific.net/amm.719-720.812.

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Constructing a hybrid wireless sensor networks comprising a mix of static sensors and mobile sensors can achieve a balance between improving coverage and reducing the cost of the network. In order to achieve high network coverage, mobile sensor move from a small to a big size of coverage hole in the hybrid wireless sensor networks. Due to the energy of the mobile sensor is limited, how to reduce the moving distance of the mobile sensor and reduce the energy consumption in the process of moving is a very important issue. This paper proposes a distributed minimum cost matching algorithm (DMMA) t
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M, Abdul Rahiman, Jain Nishanth, K. Dubey Arun, and Manoj Kumar G. "CODE AWARE DYNAMIC SOURCE ROUTING FOR DISTRIBUTED SENSOR NETWORK." International Journal of Network Security & Its Applications (IJNSA) 5, no. 2 (2013): 117–24. https://doi.org/10.5281/zenodo.3991330.

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Sensor network facilitates monitoring and controlling of physical environments. These wireless networks consist of dense collection of sensors capable of collection and dissemination of data. They have application in variety of fields such as military purposes, environment monitoring etc. Typical deployment of sensor network assumes central processing station or a gateway to which all other nodes route their data using dynamic source routing (DSR). This causes congestion at central station and thus reduces the efficiency of the network. In this work we will propose a better dynamic source rout
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Patan, Maciej. "Distributed scheduling of sensor networks for identification of spatio-temporal processes." International Journal of Applied Mathematics and Computer Science 22, no. 2 (2012): 299–311. http://dx.doi.org/10.2478/v10006-012-0022-9.

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Distributed scheduling of sensor networks for identification of spatio-temporal processesAn approach to determine a scheduling policy for a sensor network monitoring some spatial domain in order to identify unknown parameters of a distributed system is discussed. Given a finite number of possible sites at which sensors are located, the activation schedule for scanning sensors is provided so as to maximize a criterion defined on the Fisher information matrix associated with the estimated parameters. The related combinatorial problem is relaxed through operating on the density of sensors in lieu
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Singh, Mitali, and Viktor K. Prasanna. "A HIERARCHICAL MODEL FOR DISTRIBUTED COLLABORATIVE COMPUTATION IN WIRELESS SENSOR NETWORKS." International Journal of Foundations of Computer Science 15, no. 03 (2004): 485–506. http://dx.doi.org/10.1142/s012905410400256x.

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In-network collaborative computation is essential for implementation of a large number of sensor applications. We approach the problem of computation in sensor networks from a parallel and distributed system's perspective. We define COSMOS, the Cluster-based, heterOgeneouSMOdel for Sensor networks. The model abstracts the key features of the class of cluster-based sensor applications. It assumes a hierarchical network architecture comprising of a large number of low cost sensors with limited computation capability, and fewer number of powerful clusterheads, uniformly distributed in a two dimen
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Chaczko, Zenon, Christopher Chiu, Shahrzad Aslanzadeh, and Toby Dune. "Sensor-Actor Network Solution for Scalable Ad-hoc Sensor Networks." International Journal of Electronics and Telecommunications 58, no. 1 (2012): 55–62. http://dx.doi.org/10.2478/v10177-012-0008-4.

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Sensor-Actor Network Solution for Scalable Ad-hoc Sensor NetworksArchitects of ad-hoc wireless Sensor-Actor Networks (SANETS) face various problems and challenges. The main limitations relate to aspects such as the number of sensor nodes involved, low bandwidth, management of resources and issues related to energy management. In order for these networks to be functionally proficient, the underlying software system must be able to effectively handle unreliable and dynamic distributed communication, power constraints of wireless devices, failure of hardware devices in hostile environments and th
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Lokesh, B. Bhajantri, and N. Nalini. "Bayesian Network Based Fault Tolerance in Distributed Sensor Networks." Journal of Telecommunications and Information Technology, no. 4 (December 30, 2014): 44–52. http://dx.doi.org/10.26636/jtit.2014.4.1046.

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A Distributed Sensor Network (DSN) consists of a set of sensors that are interconnected by a communication network. DSN is capable of acquiring and processing signals, communicating, and performing simple computational tasks. Such sensors can detect and collect data concerning any sign of node failure, earthquakes, floods and even a terrorist attack. Energy efficiency and fault-tolerance network control are the most important issues in the development of DSNs. In this work, two methods of fault tolerance are proposed: fault detection and recovery to achieve fault tolerance using Bayesian Netwo
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Li, Wenchao, Yonggui Yuan, Jun Yang, and Libo Yuan. "Review of Optical Fiber Sensor Network Technology Based on White Light Interferometry." Photonic Sensors 11, no. 1 (2021): 31–44. http://dx.doi.org/10.1007/s13320-021-0613-x.

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AbstractOptical fiber sensor networks (OFSNs) provide powerful tools for large-scale buildings or long-distance sensing, and they can realize distributed or quasi-distributed measurement of temperature, strain, and other physical quantities. This article provides some optical fiber sensor network technologies based on the white light interference technology. We discuss the key issues in the fiber white light interference network, including the topology structure of white light interferometric fiber sensor network, the node connection components, and evaluation of the maximum number of sensors
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Aerts, Sam, Günter Vermeeren, Matthias Van den Bossche, et al. "Lessons Learned from a Distributed RF-EMF Sensor Network." Sensors 22, no. 5 (2022): 1715. http://dx.doi.org/10.3390/s22051715.

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In an increasingly wireless world, spatiotemporal monitoring of the exposure to environmental radiofrequency (RF) electromagnetic fields (EMF) is crucial to appease public uncertainty and anxiety about RF-EMF. However, although the advent of smart city infrastructures allows for dense networks of distributed sensors, the costs of accurate RF sensors remain high, and dedicated RF monitoring networks remain rare. This paper describes a comprehensive study comprising the design of a low-cost RF-EMF sensor node capable of monitoring four frequency bands used by wireless telecommunications with an
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Vino, T., S. S. Sivaraju, R. V. V. Krishna, et al. "Multicluster Analysis and Design of Hybrid Wireless Sensor Networks Using Solar Energy." International Journal of Photoenergy 2022 (October 11, 2022): 1–8. http://dx.doi.org/10.1155/2022/1164613.

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A wireless touch network is a distributed, self-organizing network of multiple sensors and actuators in combination with multiple sensors and a radio channel. Also, the security area of such a network can be several meters to several meters. The main difference between wireless sensor networks from traditional computer and telephone networks is the lack of a fixed infrastructure owned by a specific operator or provider. Each user terminal in a touch network is capable of acting as a terminal device only. Despite the long history of sensor networks, the concept of building a sensor network is n
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Dissertations / Theses on the topic "Distributed Sensor Network"

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Karaaslan, Ibrahim. "Anti-sensor Network: Distortion-based Distributed Attack In Wireless Sensor Networks." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/3/12609276/index.pdf.

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In this thesis, a novel anti-sensor network paradigm is introduced against wireless sensor networks (WSN). Anti-sensor network (ASN) aims to destroy application reliability by adaptively and anonymously introducing adequate level of artificial distortion into the communication of the event features transported from the sensor nodes (SN) to the sink. ASN is composed of anti-sensor nodes (aSN) randomly distributed over the sensor network field. aSNs pretend to be SNs tomaintain anonymity and so improve resiliency against attack detection and prevention mechanisms. Performance evaluations via mat
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Jingjing, Hao. "Distributed sensor fault detection and isolation over wireless sensor network." Doctoral thesis, Universite Libre de Bruxelles, 2017. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/254423.

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Wireless sensor networks (WSNs) can provide new methods for information gathering for a variety of applications. In order to ensure the network quality of service, the quality of the measurements has to be guaranteed. Distributed fault detection and isolation schemes are preferred to centralized solutions to diagnose faulty sensors in WSNs. Indeed the first approach avoids the need for a central node that collects information from every sensor node, and hence it limits complexity and energy cost while improving reliability.In the case of state estimation over distributed architectures, the sen
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Murukesvan, Abhinash. "Distributed Overlays in Wireless Sensor Networks." Thesis, KTH, Kommunikationssystem, CoS, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-92202.

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This thesis investigates two architectures and compares their suitability for selective application and user differentiation in sensor networks. A hierarchical architecture consisting of more capable cluster heads surrounded by weaker nodes is compared to a flat architecture of equally powerful nodes. In both architectures there exists a logical overlay network that connects the nodes, depending on the application and user. Furthermore, a broadcast encryption scheme is proposed to aid in distributing keys to nodes for secure communication and to maintain these restricted groups.<br>applikation
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Luh, William. "Distributed secrecy for information theoretic sensor network models." [College Station, Tex. : Texas A&M University, 2008. http://hdl.handle.net/1969.1/ETD-TAMU-2949.

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Jabeen, Farhana. "Distributed spatial analysis in wireless sensor networks." Thesis, University of Manchester, 2011. https://www.research.manchester.ac.uk/portal/en/theses/distributed-spatial-analysis-in-wireless-sensor-networks(f8a1f71a-81b0-4dc7-b520-b90a2393a61e).html.

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Wireless sensor networks (WSNs) allow us to instrument the physical world in novel ways, providing detailed insight that has not been possible hitherto. Since WSNs provide an interface to the physical world, each sensor node has a location in physical space, thereby enabling us to associate spatial properties with data. Since WSNs can perform periodic sensing tasks, we can also associate temporal markers with data. In the environmental sciences, in particular, WSNs are on the way to becoming an important tool for the modelling of spatially and temporally extended physical phenomena. However, s
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Pothiawala, Javed. "Analysis of a two-sensor tandem distributed detection network." Thesis, Massachusetts Institute of Technology, 1989. http://hdl.handle.net/1721.1/14418.

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Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1989.<br>Includes bibliographical references.<br>Support provided by the Office of Naval Research. N00014-84-K-0519 (NR 649-003)<br>by Javed Pothiawala.<br>M.S.
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Li, Junlin. "Distributed estimation in resource-constrained wireless sensor networks." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/26633.

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Thesis (Ph.D)--Electrical and Computer Engineering, Georgia Institute of Technology, 2009.<br>Committee Chair: Ghassan AlRegib; Committee Member: Elliot Moore; Committee Member: Monson H. Hayes; Committee Member: Paul A. Work; Committee Member: Ying Zhang. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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Kulathumani, Vinodkrishnan. "Network Abstractions for Designing Reliable Applications Using Wireless Sensor Networks." The Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=osu1211560039.

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Askgaard, Jens Martin Breivik. "Sea Cage Gateway - A Distributed Sensor Management Network in ActorFrame." Thesis, Norwegian University of Science and Technology, Department of Telematics, 2006. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-10139.

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<p>This master thesis has been written in connection with the ongoing Sea Cage Gateway (SCG) project, a project investigating the possibility of remotely administering fish farming facilities. These facilities consist of sea cages placed offshore and connected to the mainland through wireless communication technologies. The sea cages all contain a number of sensors optimizing production and increasing safety. Not only must this sensor data be read, it must also be transported, collected, interpreted, handled, saved and retrieved. In addition, it is necessary to provide backup communication lin
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Wu, Wenbin. "Delay-tolerant data delivery in a distributed sensor network testbed." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-174071.

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Sensei-UU testbed is an inexpensive, expandable, relocatable testbed, which is designed by CoRe group in Uppsala University. It provides wireless sensor network (WSN) experiments with repeatable mobility. However, end nodes are always deployed in extreme environments where connectivity is not able to be guaranteed and Sensei-UU testbed lacks the ability to deal with this case. Reliable data delivery, therefore, is an important feature of delay tolerant network and it will extend the usage of Sensei-UU testbed. This thesis work investigates Sensei-UU testbed and improves it to support delay-tol
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Books on the topic "Distributed Sensor Network"

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P, Rolim José D., and SpringerLink (Online service), eds. Theoretical Aspects of Distributed Computing in Sensor Networks. Springer-Verlag Berlin Heidelberg, 2011.

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Lesser, Victor, Charles L. Ortiz, and Milind Tambe, eds. Distributed Sensor Networks. Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0363-7.

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Bhanu, Bir, Chinya V. Ravishankar, Amit K. Roy-Chowdhury, Hamid Aghajan, and Demetri Terzopoulos, eds. Distributed Video Sensor Networks. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-127-1.

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Distributed video sensor networks-research challenges and future directions workshop (2009 : Riverside, Calif.), ed. Distributed video sensor networks. Springer, 2011.

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name, No. Distributed sensor networks: A multiagent perspective. Kluwer Academic Publishers, 2003.

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Iyengar, Sitharama S., Kianoosh G. Boroojeni, and N. Balakrishnan. Mathematical Theories of Distributed Sensor Networks. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4419-8420-3.

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Victor, Lesser, Ortiz Charles L, and Tambe Milind 1965-, eds. Distributed sensor networks: A multiagent perspective. Kluwer Academic Publishers, 2003.

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Lesser, Victor. Distributed Sensor Networks: A Multiagent Perspective. Springer US, 2003.

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M, Alcaraz Calero Jose, ed. Distributed sensor systems: Practice and applications. Wiley, 2012.

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Nikoletseas, Sotiris, and José D. P. Rolim, eds. Theoretical Aspects of Distributed Computing in Sensor Networks. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-14849-1.

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Book chapters on the topic "Distributed Sensor Network"

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Kumar, Nitin, Dimitrios Gunopulos, and Vana Kalogeraki. "Sensor Network Coverage Restoration." In Distributed Computing in Sensor Systems. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11502593_41.

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Majumder, Aditi. "Ubiquitous Displays: A Distributed Network of Active Displays." In Distributed Video Sensor Networks. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-127-1_15.

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Dong, Hongli, Zidong Wang, and Nan Hou. "Distributed Estimation over Sensor Network." In Networked Nonlinear Stochastic Time-Varying Systems. CRC Press, 2021. http://dx.doi.org/10.1201/9781003189497-6.

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Kulathumani, Vinod, Srikanth Parupati, Arun Ross, and Raghavender Jillela. "Collaborative Face Recognition Using a Network of Embedded Cameras." In Distributed Video Sensor Networks. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-127-1_25.

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Song, Bi, Chong Ding, Amit Roy-Chowdhury, and Jay Farrell. "Persistent Observation of Dynamic Scenes in an Active Camera Network." In Distributed Video Sensor Networks. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-127-1_18.

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Nguyen, Hoang Thanh, and Bir Bhanu. "VideoWeb: Optimizing a Wireless Camera Network for Real-time Surveillance." In Distributed Video Sensor Networks. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-127-1_22.

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van der Lee, Tim, Georgios Exarchakos, and Sonia Heemstra de Groot. "In-network Hebbian Plasticity for Wireless Sensor Networks." In Internet and Distributed Computing Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34914-1_8.

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Li, Yiming, and Bir Bhanu. "A Comparison of Techniques for Camera Selection and Hand-Off in a Video Network." In Distributed Video Sensor Networks. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-127-1_5.

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Hohlt, Barbara, and Eric Brewer. "Network Power Scheduling for TinyOS Applications." In Distributed Computing in Sensor Systems. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11776178_27.

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Angluin, Dana, James Aspnes, Melody Chan, Michael J. Fischer, Hong Jiang, and René Peralta. "Stably Computable Properties of Network Graphs." In Distributed Computing in Sensor Systems. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11502593_8.

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Conference papers on the topic "Distributed Sensor Network"

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Wold, Kristian K., Roy Johnsen, Mariano Iannuzzi, and Lars Årtun. "Integrated Cathodic Protection (CP) Sensor Network Development of the CP Sensor." In CORROSION 2018. NACE International, 2018. https://doi.org/10.5006/c2018-11109.

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Abstract This paper describes a new CP monitoring approach to quantify the health of the CP system in real-time with spatial resolution. Spatial resolution is achieved by an integrated sensor network distributed across a Subsea Production System. A set of small sensors capable of monitoring potential and current supply as a function of time are distributed across subsea equipment. Real-time data logging is possible by integrating the sensor network into the electronics of the subsea Production and Control System, which can be used for risk assessment, and actioning from surface equipment or au
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Ran Xu and Shuang-Hua Yang. "Distributed Federated Sensor Network." In 2010 13th International Conference on Information Fusion (FUSION 2010). IEEE, 2010. http://dx.doi.org/10.1109/icif.2010.5711974.

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Mari, P., F. P. Font, M. A. Dom, and S. Otero. "Application-Oriented Distributed Sensor Network." In 2008 Third International Conference on Systems ICONS. IEEE, 2008. http://dx.doi.org/10.1109/icons.2008.64.

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Kim, Hyung-Sin, Jin-Seok Han, Jae-Seok Bang, and Yong-Hwan Lee. "Distributed Scalable Network Association in Wireless Sensor Networks." In 2012 IEEE International Conference on Green Computing and Communications (GreenCom). IEEE, 2012. http://dx.doi.org/10.1109/greencom.2012.36.

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Viet, Nguyen Hoang, Ngo Anh Vien, SeungGwan Lee, and TaeChoong Chung. "Efficient Distributed Sensor Dispatch in Mobile Sensor Network." In 22nd International Conference on Advanced Information Networking and Applications - Workshops (aina workshops 2008). IEEE, 2008. http://dx.doi.org/10.1109/waina.2008.62.

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Chache, Frederick M., Sean Maxon, Ram M. Narayanan, and Ramesh Bharadwaj. "Distributed network communication using B.A.T.M.A.N. algorithm over LoRa." In Radar Sensor Technology XXV, edited by Ann M. Raynal and Kenneth I. Ranney. SPIE, 2021. http://dx.doi.org/10.1117/12.2588317.

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Wang, Xuezhi, Rob Evans, and Jonathan Legg. "Distributed sensor fusion with network constraints." In Defense and Security, edited by Ivan Kadar. SPIE, 2004. http://dx.doi.org/10.1117/12.541954.

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Kulchin, Yuri N., Oleg B. Vitrik, Oleg V. Kirichenko, and Yuri S. Petrov. "Fiber optic distributed sensor tomography network." In Optical Tools for Manufacturing and Advanced Automation, edited by Alan D. Kersey and John P. Dakin. SPIE, 1993. http://dx.doi.org/10.1117/12.165916.

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Valdivia y Alvarado, P., T. Taher, H. Kurniawati, et al. "A coastal distributed autonomous sensor network." In OCEANS 2011. IEEE, 2011. http://dx.doi.org/10.23919/oceans.2011.6106998.

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Wonge-ammat, Panitan, Muhammed Mas-ud Hussain, Goce Trajcevski, Besim Avci, and Ashfaq Khokhar. "Distributed In-Network Processing of k-MaxRS in Wireless Sensor Networks." In 6th International Conference on Sensor Networks. SCITEPRESS - Science and Technology Publications, 2017. http://dx.doi.org/10.5220/0006210701080117.

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Reports on the topic "Distributed Sensor Network"

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Ratmanski, Kiril, and Sergey Vecherin. Resilience in distributed sensor networks. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45680.

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With the advent of cheap and available sensors, there is a need for intelligent sensor selection and placement for various purposes. While previous research was focused on the most efficient sensor networks, we present a new mathematical framework for efficient and resilient sensor network installation. Specifically, in this work we formulate and solve a sensor selection and placement problem when network resilience is also a factor in the optimization problem. Our approach is based on the binary linear programming problem. The generic formulation is probabilistic and applicable to any sensor
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Brennan, Sean M. Distributed Sensor Network Software Development Testing through Simulation. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/833222.

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Kadambe, Shubha, and Cindy Daniell. Theoretic Based Performance Analysis of Distributed Sensor Network. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada419203.

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Miyamoto, Robert, David W. Krout, and Jack McLaughlin. Distributed Environmentally-Adaptive Detection, Classification, and Localization Using a Cooperative Sensor Network. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada538746.

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Sattar, Farook. Distributed body sensor network using V2V/V2I communications for safety driving - An overview and a new proposal. Peeref, 2023. http://dx.doi.org/10.54985/peeref.2306p2034835.

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Sattar, Farook. Distributed body sensor network using V2V/V2I communications for safety driving - An overview and a new proposal. Peeref, 2023. http://dx.doi.org/10.54985/peeref.2306p9112302.

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Tsvetkov, Pavel, Bryan Dickerson, Joseph French, Donald McEachern, and Abderrafi Ougouag. A Distributed Fiber Optic Sensor Network for Online 3-D Temperature and Neutron Fluence Mapping in a VHTR Environment. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1150754.

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Lacoss, Richard T. Distributed Sensor Networks. Defense Technical Information Center, 1986. http://dx.doi.org/10.21236/ada204719.

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Lacoss, Richard T. Distributed Sensor Networks. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada163866.

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Lacoss, Richard T. Distributed Sensor Networks. Defense Technical Information Center, 1986. http://dx.doi.org/10.21236/ada176132.

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