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Literatura académica sobre el tema "Independent sensor networks"

Autor: Grafiati
Publicado: 10 de mayo de 2025

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Artículos de revistas sobre el tema "Independent sensor networks"

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Mielke, A. M., S. M. Brennan, M. C. Smith, D. C. Torney, A. B. Maccabe y KarlinM JF. "Independent sensor networks". IEEE Instrumentation & Measurement Magazine 8, n.º 2 (junio de 2005): 33–37. http://dx.doi.org/10.1109/mim.2005.1438842.

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Liu, Wei, Mao Lin y Chun Yan. "Formal Interoperability Models of Sensor Networks Based on Logical Workflow Nets". International Journal of Software Engineering and Knowledge Engineering 29, n.º 05 (mayo de 2019): 671–91. http://dx.doi.org/10.1142/s0218194019400035.

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With the advent of Internet of things and cyber physical system, sensor networks become more and more important. To better accomplish a task, multiple sensors or even multiple sensor networks need to interoperate. Logical workflow nets and cooperative logical workflow nets are introduced to formally model and analyze interoperability of sensor networks. Independent feasibility and Interoperable feasibility are important properties for ensuring correct execution and interoperability of sensor networks. Complete path nets, possible path nets, cooperative complete path nets and cooperative possible path nets are presented to decide independent feasibility and interoperable feasibility of logical workflow nets and cooperative logical workflow nets denoting interoperability of sensor networks.
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Kallakunta, Suneela y Alluri Sreenivas. "Technical Aspects of Wireless Sensor Networks (WSNs)". Oriental journal of computer science and technology 13, n.º 0203 (30 de enero de 2021): 124–28. http://dx.doi.org/10.13005/ojcst13.0203.10.

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Wireless sensor networks (WSNs) are a new kind of wireless networks that are becoming very popular with a large number of civilian and military applications. A wireless sensor network (WSN) is a wireless network that contains distributed independent sensor devices that are meant to monitor physical or environmental conditions. AWireless Sensor Network consists of a set of connected tiny sensor nodes, which communicate with each other we can also interchange information and data. These nodes obtain information on the environment such as temperature, pressure, or humidity and this information is stored in a base station. The latter sends the info to a wired network or activates an alarm or an action, depending on the type of data being monitored.
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Moungla, Hassine, Nora Touati y Ahmed Mehaoua. "Cost Efficient Deployment and Reliable Routing Modeling Based Multi-Objective Optimization for Dynamic Wireless Body Sensor Networks Topology". International Journal of E-Health and Medical Communications 4, n.º 4 (octubre de 2013): 16–33. http://dx.doi.org/10.4018/ijehmc.2013100102.

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Wireless Body Sensor Networks (WBSNs), like any other sensor networks, suffer from limited energy and are highly distributed network, where its nodes organize by themselves and each of them has the flexibility of collecting and transmitting patient biomedical information to a sink. When a knowledge was sent to a sink from a path that doesn't have a definite basis, the routing is a crucial challenge in Wireless Body Area Sensor Networks. Furthermore, reliability and routing delay are the considerable factors in these types of networks. More attention should be given to the energy routing issue and frequent topology's change in WBSNs. That increases the dynamics of network topology, and complicates the relay selection process in cooperative communications. Unreliable communication over the wireless channel complicates communication protocols and results in low data yield (Stathopoulos 2005). The deployment sensors step is a crucial and complex task due to several independent objectives and constraints. This paper presents a Min-Max multi-commodity flow model for WBSNs which allows preventing sensor node saturation and taking best action against reliability and the path loss, by imposing an equilibrium use of sensors during the routing process. This model is based on the authors' optimal sensors deployment method for WBSNs. Simulations results show that the algorithm balances the energy consumption of nodes effectively and maximize the network lifetime. It will meet the enhanced WBSNs requirements, including better delivery ratio, less reliable routing overhead.
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Milana N., Megha y M. Z. Kurian. "IoT Based Sensor Network for Agricultural Application". International Journal of Advance Research and Innovation 4, n.º 2 (2016): 78–84. http://dx.doi.org/10.51976/ijari.421612.

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A conventional sensor network is a radio network of sensor nodes with ability to sense physical parameters, store sensed data, carry out simple processing on data and forward the data through radio interface. The objective of such network is to push the data to a sink node which can then forward the data to server ( or cloud). However many real time applications includes sensors spread over long areas. As such they are treated as independent networks. Internet of Things is a new paradigm of connecting devices like microcontroller and smart objects to cloud. Using IoT services, we can now connect sensors to internet directly. In the proposed work more comprehensive state of art cloud extension of WSN through IoT has been focused, more focus on being towards bettering each of the current state of art building blocks including but not limited to sensor network, coordinator protocol, data analysis in sensor network, cloud services, IoT protocols and so on.
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Dr. P. Vijaykarthik, Naveen Ghorpade,. "An Efficient Mobile Sink based Data Collection Model for Clustered based Wireless Sensor Network". Psychology and Education Journal 58, n.º 1 (1 de enero de 2021): 1836–43. http://dx.doi.org/10.17762/pae.v58i1.1038.

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The Wireless Sensor Network (WSN) is considered to be a core component of tomorrow's real-time data communication networks, such as the Internet of Things (IoT). Modern networks need low-latency and high-throughputs in real-time due to a heterogeneous network. The availability of low-latency real-time data access incurs energy costs from the sensor systems. Clustering helped in maintaining the scalability and energy usage of sensors. However, it incurs overhead of the independent cluster head and sensor device within the close range of the sump pump. Since it would take longer transmission and recovery time. This Mine Research Paper introduces an Accessible Mobile Sensor Dependent Data Collection (EMSDC) Model for Cluster Based WSN (CWSN). Experiments are carried out to verify the efficiency of EMSDC and to equate it with the existing versions. The findings of the Latency and Overhead benchmarks demonstrated a lot of progress over the state-of-the-art versions.
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Chauhan, Gargi, Usha Sharma, Seema Verma y G. N. Purohit. "TDMA Scheduling Algorithm Using Independent Sets in Network Graph". INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 10, n.º 10 (25 de septiembre de 2013): 2071–80. http://dx.doi.org/10.24297/ijct.v10i10.1195.

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Wireless Sensor Networks (WSNs) is a distributed wireless network consists of large amount of sensor nodes which gather useful information from a variety of environment and these sensor nodes communicate with each other in a multi-hop radio networks, with the end goal of handing their processed data to the data collector or access point (AP) [1,2]. WSNs have many issues such as self-configuration, fault-tolerance, adaptation, flexibility, energy efficiency, security, scalability, interference, architectural issues, mobility and delay tolerance [3]. Amongthese issues the most critical issue is to save energy and interference. The aim of this study is to construct the network graph which is conflict free and has minimum interference and minimum energy consumption. We have MAC Access protocols but TDMA protocol is more efficient than other protocols because TDMA can eliminate collisions and remove the need for a back-off [4]. A TDMA scheduling algorithm is constructed for the wireless sensor network, which is based on the creation of separate independent sets of the representing network graph. Independent sets are employed to minimize the time slots needed for the complete transmission of data packets in the network. An algorithm has been developed to implement it and there are three different steps in the implementation of this algorithm. In first phase, the minimum independent sets of the network are constructed. In second phase, the conflict graph of given network graph has been created. In third phase, time slots are assigned to all the transmissions according to the independent sets which were created in first phase, so that all the data packets are transmitted to the access point (AP) or data collector. The simulation results indicate that the TDMA scheduling algorithm reduce the interference and energy consumption in the network graph.
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Rajkumar, Dhamodharan Udaya Suriya, Krishna Prasad Karani, Rajendran Sathiyaraj y Pellakuri Vidyullatha. "Optimal shortest path selection using an evolutionary algorithm in wireless sensor networks". International Journal of Electrical and Computer Engineering (IJECE) 14, n.º 6 (1 de diciembre de 2024): 6743. http://dx.doi.org/10.11591/ijece.v14i6.pp6743-6752.

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A wireless sensor network comprises of distributed independent devices, called sensors that monitor the physical conditions of the environment for various applications, such as tracking and observing environmental changes. Sensors have the ability to detect information, process it, and forward it to neighboring sensor nodes. Wireless sensor networks are facing many issues in terms of scalability, which necessitates numerous nodes and network range. The route chosen between the source node and the destination node with the shortest distance determines how well the network performs. In this paper, evolutionary algorithm based shortest path selection provides high end accessibility of path nodes for data transmission among source and destination. It employs the best fitness function methodology, which involves the replication of input, mutation, crossover, and mutation methods, to produce efficient outcomes that align with the best fitness function, thereby determining the shortest path. This is a probabilistic technique that receives input from learning models and provides the best results. The execution results are presented well compared with earlier methodologies in terms of path cost, function values, throughput, packet delivery ratio, and computation time.
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Preis, Ami, Andrew Whittle y Avi Ostfeld. "Multi-objective optimization for conjunctive placement of hydraulic and water quality sensors in water distribution systems". Water Supply 11, n.º 2 (1 de abril de 2011): 166–71. http://dx.doi.org/10.2166/ws.2011.029.

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Near real-time continuous monitoring systems have been proposed as a promising approach for enhancing drinking water utilities detect and respond efficiently to threats on water distribution systems. Water quality sensors are aimed at revealing contamination intrusions, while hydraulic pressure and flow sensors are utilized for estimating the hydraulic system state. To date optimization models for placing sensors in water distribution systems are targeting separately water quality and hydraulic sensor network goals. Deploying two independent sensor networks within one distribution system is expensive to install and maintain. It might thus be beneficial to consider mutual sensor locations having dual hydraulic and water quality monitoring capabilities (i.e. sensor nodes which collect both hydraulic and water quality data at the same locations). In this study a multi-objective sensor network placement model for conjunctive monitoring of hydraulic and water quality data is developed and demonstrated using the multi-objective non-dominated sorted genetic algorithm NSGA II methodology. Two water distribution systems of increasing complexity are explored showing tradeoffs between hydraulic and water quality sensor location objectives. The proposed method provides a new tool for sensor placements.
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Dai, Xuan, Lili Fang, Chuanfang Zhang y Houjun Sun. "An Impedance-Loaded Orthogonal Frequency-Coded SAW Sensor for Passive Wireless Sensor Networks". Sensors 20, n.º 7 (28 de marzo de 2020): 1876. http://dx.doi.org/10.3390/s20071876.

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A passive wireless impedance-loaded orthogonal frequency-coded (OFC) surface acoustic wave (SAW) sensor for wireless sensor networks was proposed in this paper. One of the chips on OFC SAW tag is connected to an external sensor, which could cause a phase shift in the time response of the corresponding part on the SAW device. The phase shift corresponds to the sensed quantity, which could be temperature, strain, vibration, pressure, etc. The OFC SAW tag is isolated by a proper package from the direct effect of the measurand on the device’s response which could avoid the multiple measurands coupling. The simultaneous work of multiple sensors is guaranteed by orthogonal frequency coding. By processing the response based on an extended matched filter algorithm, sensing information of the specific coded OFC device can be extracted from the superimposed response of multiple independent encoded sensors. Compared to previous methods, the proposed method can produce a more flexible passive (battery-free) wireless sensor suitable for large-scale wireless sensor networks. Simulation and experimental results demonstrate the effectiveness of the sensor.
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Tesis sobre el tema "Independent sensor networks"

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Huang, Fuzhuo. "On the maximum weighted independent set problem with applications in wireless sensor networks". Thesis, Boston University, 2013. https://hdl.handle.net/2144/12785.

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Thesis (Ph.D.)--Boston University PLEASE NOTE: Boston University Libraries did not receive an Authorization To Manage form for this thesis or dissertation. It is therefore not openly accessible, though it may be available by request. If you are the author or principal advisor of this work and would like to request open access for it, please contact us at open-help@bu.edu. Thank you.
The Maximum Weighted Independent Set (MWIS) Problem considers a graph with weights assigned to the nodes and seeks to discover the "heaviest" independent set, that is, a set of nodes with maximal total weight so that no two nodes in the set are connected by an edge. The MWIS problem arises in many application domains including maximum a posteriori estimation, error-correcting coding, spatial statistics, and communication networks. It has been shown to be combinatorially hard (NP-complete) and there has been extensive work in the literature proposing a variety of heuristics. In this dissertation, we propose a novel, low-complexity and distributed algorithm that yields high-quality feasible solutions to this problem. Our proposed algorithm consists of two phases, each of which requires only local information and is based on message-passing between neighboring nodes. The first phase solves Linear Programming (LP) relaxations of the MWIS problem. We consider two LP relaxations: one involving simple edge constraints and another which is tighter and accounts for all cliques of the graph. The second phase of our algorithm uses the solution of the relaxation and constructs a feasible solution to the MWIS problem. We establish that we always obtain a feasible solution to MWIS and that for special cases of graphs the solution is optimal. More specifically, with the clique-based relaxation we can guarantee an optimal solution for the large class of so called perfect graphs. When using the edge-based relaxation, our algorithm guarantees optimality for bipartite graphs and obtains with high probability near-optimal solutions for general graphs with large weights. We also establish that our algorithms can run in an asynchronous fashion and provide the same optimality guarantees as the synchronous version. We apply our algorithms to two different applications in wireless sensor networks. The first application concerns the problem of efficiently "emptying" a wireless sensor network that has accumulated a large amount of data at its nodes and seeks to relay them to designated gateways so as to maximize a concave function of achievable transmission rates. The other application is the problem of scheduling wireless networks with stochastic packet arrivals on the links and constant transmission rates. In both cases we show that our algorithms lead to significant performance gains over the current state-of-the art.
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2

Kaur, Jasman. "Realizing Connectivity with Independent Trees in DAGs - An Empirical Study". University of Cincinnati / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1337084971.

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Bouchakour, Omar. "Contrôle-santé structurel passif à ondes guidées, basé sur des réseaux de capteurs ultrasonores désynchronisés". Electronic Thesis or Diss., Valenciennes, Université Polytechnique Hauts-de-France, 2025. http://www.theses.fr/2025UPHF0004.

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L'évolution de la surveillance de l'état des structures (SHM) au cours des dernières années a vu émerger des réseaux de capteurs indépendants à faibles ressources matérielles. Cependant, les signaux enregistrés par ces capteurs pour faire de l'imagerie passive peuvent présenter des désynchronisations qui rendent difficile la localisation des endommagements dans la structure inspectée. Bien que la technique de pic de corrélation (PCT), reposant sur la symétrie des fonctions de corrélation de bruit, puisse être appliquée pour corriger ces décalages, une synchronisation parfaite est difficile à atteindre en présence de bruit électronique et/ou de reconstruction de la fonction de Green. Dans ce manuscrit, une étude du comportement des erreurs résiduelles liées à une resynchronisation imparfaite, en fonction des paramètres statistiques du bruit, est menée. Puis, la dégradation du contraste des images de localisation des défauts est quantifiée en fonction de l'écart type de ces erreurs de resynchronisation. Par la suite, un processus basé sur la pseudo-inversion de Moore-Penrose est développé pour minimiser ces erreurs et améliorer la qualité des images de localisation. Cette étude est ensuite étendue au cas de la localisation de défauts à diffusion anisotrope. Enfin, une étude de faisabilité est effectuée sur un réseau de capteurs communicants sans fil
The evolution of structural health monitoring (SHM) in recent years has witnessed the emergence of independent sensor networks with limited material resources. However, the signals recorded by these sensors for passive imaging can exhibit desynchronizations that make it difficult to locate damage in the inspected structure. Although the peak correlation technique (PCT), based on the symmetry of noise correlation functions, can be applied to correct these offsets, achieving perfect synchronization is challenging in the presence of electronic noise and/or reconstruction of the Green's function. In this manuscript, a study of the behavior of residual errors associated with imperfect resynchronization, as a function of the statistical parameters of noise, is conducted. Then, the degradation of the contrast of defect localization images is quantified as a function of the standard deviation of these resynchronization errors. Subsequently, a process based on the Moore-Penrose pseudo-inversion is developed to minimize these errors and improve the quality of the localization images. This study is then extended to the case of defect localization with anisotropic scattering. Finally, a feasibility study is carried out on a network of wireless communicating sensors
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Ball, Stephen. "Investigating telemonitoring technologies for the detection of activities and the application of BLE in smart homes for elderly independent living". Thesis, Queensland University of Technology, 2017. https://eprints.qut.edu.au/123510/1/Stephen%20Ball%20Thesis.pdf.

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Due to the rise in the elderly population and the prevalence of chronic diseases, healthcare organizations around the world are faced with an economic burden which will continue to grow. For this reason there is an urgent demand to reduce the intake of elders in hospitals and nursing homes by allowing them to live independently for greater lengths of time. In response to this demand, researchers are strongly focusing on 'telemonitoring', which is the use of information technology (IT) to monitor the health status of an individual from a remote location (e.g. their home). The first aim of this thesis was to investigate how telemonitoring technologies can detect elderly activities for health assessment purposes. To assess a patient's health status holistically, a wide variety of factors needed be considered by practitioners. Currently many telemonitoring technologies in research have addressed these factors/assessments by monitoring elderly activities. However based on the literature reviews, researchers have not been able to develop a comprehensive understanding of how these technologies support each assessment. Therefore the first contribution in chapter 3 of this thesis addresses this gap. A literature review was conducted where 215 telemonitoring technologies were identified from 82 papers, published between 2000 and 2016. Six assessments which involve monitoring of activities were identified as (1) mobility, (2) nutrition, (3) safety, (4) cognitive, (5) social, and (6) routine. All included technologies were categorized into six tables according to the assessment that they supported. From assessing the contents of these tables, it was found that a significant portion of ITs relate to mobility, nutritional, safety and routine assessments. Many of the studies were found to assess technologies inside of laboratory setting and still require improvement before they are suited for real world application. It also found that many of the technologies were not equipped with wireless communication. In recent years recently have been focusing been integrating wireless sensing technology into telemonitoring applications. Many of these wireless technologies are small, unobtrusive, and usually need to be powered by small batteries (e.g. coin cell) which have limited capacity. For this reason, researchers have had difficulties prolonging battery life to a duration that is practical. However the recent release of Bluetooth Low Energy (BLE) has the potential of resolving this issue due to its power saving qualities. The 2nd aim of this thesis is to assess the performance of Bluetooth Low Energy (BLE) in telemonitoring frameworks using advertising mode. Advertising mode is often used for device discovery purposes, however it can also be used to send context data without the need for device connection establishment. This method has received little investigation from researchers and yet it has the potential of offering advantages such as reduction in power consumption and manufacturing costs. Therefore in this thesis, the performance of BLE advertising mode was used within two telemonitoring applications. Firstly, a new device called 'BLUESOUND' is proposed. The device uses ultrasound sensing technology which can efficiently differentiate multiple residents in a home environment based on their height. The device consists of three sensing/communication modules: A Passive Infrared (PIR) occupancy module, an ultrasound array module and a BLE communication module. The PIR occupancy module is used to detect walking direction, while the ultrasound array measures the resident's height. The combination of these two technologies can also be used to detect a resident's velocity. BLE advertising mode is used to communicate acquired data to a smart phone gateway/database. A new embedded algorithm was able to increase the energy efficiency of the identification technology. Comprehensive modelling and experimentation was undertaken to assess the performance the BLUESOUND device. The BLUESOUND device was able to distinguish between multiple resident identities by measuring height accurately. Currently researchers have developed various wearable ECG monitors as there is a demand to detect the onset of cardiac disease earlier in the elderly population. However most of these devices have only lasted a couple of days on a coin cell battery which is not practical. Therefore the performance of BLE advertising mode was explored using a virtual BLE based ECG model in MATLAB. To further minimize power consumption, an ECG extraction technique (based on the 'So and Chan' algorithm [1]) was used in the model to extract some of the most significant points on the signal. Based on three simulation trails, ECG data was transferred to a scanning device with high accuracy (average of 99.62%). It was estimated that the virtual system is approximately 13 times more energy efficient compared to sending ECG stream data continuously when a connection is established.
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5

Shaban, Hassan. "Experimental Investigations of Internal Air-water Flows". Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/32952.

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The objective of the present thesis research is to apply state-of-the-art experimental and data analysis techniques to the study of gas-liquid pipe flows, with a focus on conditions occurring in header-feeder systems of nuclear reactors under different accident scenarios. Novel experimental techniques have been proposed for the identification of the flow regime and measurement of the flow rates of both phases in gas-liquid flows. These techniques were automated, non-intrusive and economical, which ensured that their use would be feasible in industrial as well as laboratory settings. Measurements of differential pressure and the gas and liquid flow rates were collected in vertical upwards air-water flow at near-atmospheric pressure. It was demonstrated that the probability density function of the normalized differential pressure was indicative of the flow regime and using non-linear dimensionality reduction (the Elastic Maps Algorithm), it was possible to automate the process of identifying the flow regime from the differential pressure signal. The relationship between the probability density function and the power spectral density of normalized differential pressure with the gas and liquid flow rates in air-water pipe flow was also established and a machine learning algorithm (using Independent Component Analysis and Artificial Neural Networks) was proposed for the estimation of the phase flow rates from these properties. The proposed methods were adapted for use with single and dual conductivity wire-mesh sensors in vertical upwards and downwards air--water flows. A thorough evaluation of the performance and measurement uncertainty of wire-mesh sensors in gas-liquid flows was also performed. Lastly, measurements of the flow distribution in feeder tubes supplied with air-water mixtures by a simplified header model were collected and correlated to the observed flow patterns in the header.
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Silva, Rodrigo Dalvit Carvalho da. "Um estudo sobre a extraÃÃo de caracterÃsticas e a classificaÃÃo de imagens invariantes à rotaÃÃo extraÃdas de um sensor industrial 3D". Universidade Federal do CearÃ, 2014. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=12154.

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CoordenaÃÃo de AperfeÃoamento de Pessoal de NÃvel Superior
Neste trabalho, à discutido o problema de reconhecimento de objetos utilizando imagens extraÃdas de um sensor industrial 3D. NÃs nos concentramos em 9 extratores de caracterÃsticas, dos quais 7 sÃo baseados nos momentos invariantes (Hu, Zernike, Legendre, Fourier-Mellin, Tchebichef, Bessel-Fourier e Gaussian-Hermite), um outro à baseado na Transformada de Hough e o Ãltimo na anÃlise de componentes independentes, e, 4 classificadores, Naive Bayes, k-Vizinhos mais PrÃximos, MÃquina de Vetor de Suporte e Rede Neural Artificial-Perceptron Multi-Camadas. Para a escolha do melhor extrator de caracterÃsticas, foram comparados os seus desempenhos de classificaÃÃo em termos de taxa de acerto e de tempo de extraÃÃo, atravÃs do classificador k-Vizinhos mais PrÃximos utilizando distÃncia euclidiana. O extrator de caracterÃsticas baseado nos momentos de Zernike obteve as melhores taxas de acerto, 98.00%, e tempo relativamente baixo de extraÃÃo de caracterÃsticas, 0.3910 segundos. Os dados gerados a partir deste, foram apresentados a diferentes heurÃsticas de classificaÃÃo. Dentre os classificadores testados, o classificador k-Vizinhos mais PrÃximos, obteve a melhor taxa mÃdia de acerto, 98.00% e, tempo mÃdio de classificaÃÃo relativamente baixo, 0.0040 segundos, tornando-se o classificador mais adequado para a aplicaÃÃo deste estudo.
In this work, the problem of recognition of objects using images extracted from a 3D industrial sensor is discussed. We focus in 9 feature extractors (where seven are based on invariant moments -Hu, Zernike, Legendre, Fourier-Mellin, Tchebichef, BesselâFourier and Gaussian-Hermite-, another is based on the Hough transform and the last one on independent component analysis), and 4 classifiers (Naive Bayes, k-Nearest Neighbor, Support Vector machines and Artificial Neural Network-Multi-Layer Perceptron). To choose the best feature extractor, their performance was compared in terms of classification accuracy rate and extraction time by the k-nearest neighbors classifier using euclidean distance. The feature extractor based on Zernike moments, got the best hit rates, 98.00 %, and relatively low time feature extraction, 0.3910 seconds. The data generated from this, were presented to different heuristic classification. Among the tested classifiers, the k-nearest neighbors classifier achieved the highest average hit rate, 98.00%, and average time of relatively low rank, 0.0040 seconds, thus making it the most suitable classifier for the implementation of this study.
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7

Costard, Aude. "Estimation de la structure d’indépendance conditionnelle d’un réseau de capteurs : application à l'imagerie médicale". Thesis, Grenoble, 2014. http://www.theses.fr/2014GRENT059/document.

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Cette thèse s'inscrit dans le cadre de l'étude de réseaux de capteurs. L'objectif est de pouvoir comparer des réseaux en utilisant leurs structures d'indépendance conditionnelle. Cette structure représente les relations entre deux capteurs sachant l'information enregistrée par les autres capteurs du réseau. Nous travaillons sous l'hypothèse que les réseaux étudiés sont assimilables à des processus gaussiens multivariés. Sous cette hypothèse, estimer la structure d'indépendance conditionnelle d'un processus multivarié gaussien est équivalent à estimer son modèle graphique gaussien.Dans un premier temps, nous proposons une nouvelle méthode d'estimation de modèle graphique gaussien : elle utilise un score proportionnel à la probabilité d'un graphe de représenter la structure d'indépendance conditionnelle du processus étudié et est initialisée par Graphical lasso. Pour situer notre méthode par rapport aux méthodes existantes, nous avons développé une procédure d'évaluation des performances d'une méthode d'estimation de modèles graphiques gaussiens incluant notamment un algorithme permettant de générer des processus multivariés gaussiens dont la structure d'indépendance conditionnelle est connue.Dans un deuxième temps, nous classifions des processus à partir des estimées des structures d'indépendance conditionnelle de ces processus. Pour ce faire, nous introduisons comme métrique la divergence de Kullback-Leibler symétrisée entre les profils croisés normalisés des processus étudiés. Nous utilisons cette approche pour identifier des ensemble de régions cérébrales pertinentes pour l'étude de patients dans le coma à partir de données d'IRM fonctionnelle
This thesis is motivated by the study of sensors networks. The goal is to compare networks using their conditional independence structures. This structure illustrates the relations between two sensors according to the information recorded by the others sensors in the network. We made the hypothesis that the studied networks are multivariate Gaussian processes. Under this assumption, estimating the conditional independence structure of a process is equivalent to estimate its Gaussian graphical model.First, we propose a new method for Gaussian graphical model estimation : it uses a score proportional to the probability of a graph to represent the conditional independence structure of the studied process and it is initialized by Graphical lasso. To compare our method to existing ones, we developed a procedure to evaluate the performances of Gaussian graphical models estimation methods. One part of this procedure is an algorithm to simulated multivariate Gaussian processes with known conditional independence structure.Then, we conduct a classification over processes thanks to their conditional independence structure estimates. To do so, we introduce a new metric : the symmetrized Kullback-Leibler divergence over normalized cross-profiles of studied processes. We use this approach to find sets of brain regions that are relevant to study comatose patients from functional MRI data
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Wang, Wei-Ying y 王薇穎. "Independent Adaptive Top-k Monitoring in Wireless Sensor Networks". Thesis, 2012. http://ndltd.ncl.edu.tw/handle/jm4k92.

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碩士
國立臺灣科技大學
資訊工程系
100
Top-k monitoring facilitates the selection of the highest k numbers of sensor readings from the serial feedbacks of the nodes, and is widely utilized in distributed network applications. The major problem to the practice of top-k monitoring query is the limited energy supply of the sensors; therefore, aiming to retrench energy consumption of the wireless sensor network using top-k monitoring, we bring forth in this paper a filter-based algorithm named as Independent Adaptive Filter-based Monitoring to lessen the transmission of unnecessary messages in every sensor node. Thereby, considering the long noteless issue of probable regularity in the reading’s variation, a filter-setting step being introduced, we use probability techniques and Gaussian distribution to set an adaptive filter to each node, which automatically adjust the future setting of filters according to the past monitoring data, to reduce the probability of the new readings going beyond the filter; moreover, we devise parameter transmission between base station and each sensor node to assure non-overlapped filter and the least feedbacks. Our proposed new algorithm is examined with both virtual and real datasets, and the simulation results prove that the new algorithm effectively reduces the energy consumption so as to considerably extend the networks lifetime compared with the previous top-k algorithms.
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9

Pereira, Orlando Ricardo Esteves. "Mobile platform-independent solutions for body sensor network interface". Master's thesis, 2010. http://hdl.handle.net/10400.6/3726.

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Body Sensor Networks (BSN) appeared as an application of Wireless Sensor Network (WSN) to medicine and biofeedback. Such networks feature smart sensors (biosensors) that capture bio-physiological parameters from people and can offer an easy way for data collection. A new BSN platform called Sensing Health with Intelligence Modularity, Mobility and Experimental Reusability (SHIMMER) presents an excellent opportunity to put the concept into practice, with suitable size and weight, while also supporting wireless communication via Bluetooth and IEEE 802.15.4 standards. BSNs also need suitable interfaces for data processing, presentation, and storage for latter retrieval, as a result one can use Bluetooth technology to communicate with several more powerful and Graphical User Interface (GUI)-enabled devices such as mobile phones or regular computers. Taking into account that people currently use mobile and smart phones, it offers a good opportunity to propose a suitable mobile system for BSN SHIMMER-based networks. This dissertation proposes a mobile system solution with different versions created to the four major smart phone platforms: Symbian, Windows Mobile, iPhone, and Android. Taking into account that, currently, iPhone does not support Java, and Java cannot match a native solution in terms of performance in other platforms such as Android or Symbian, a native approach with similar functionality must be followed. Then, four mobile applications were created, evaluated and validated, and they are ready for use.
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Hsu, Yao-Chuan y 許堯銓. "Research on Secure Localization against Independent and Colluding Attacks on Wireless Sensor Networks". Thesis, 2016. http://ndltd.ncl.edu.tw/handle/9y8ma3.

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碩士
國立高雄應用科技大學
電子工程系碩士班
104
Recently, secure localization is a significant popular topic which researches on wireless sensor networks (WSNs) environments. It can be applied to long distance-healthcare, IOT, smart home and military. A general position measure is use received signal strength indicator (RSSI) to estimate the location of unknown nodes. Generally, common attack pattern can be divided into separate attacks (independent attack ) and collusion ( collusion attack). This research concentrate on two attacks that against a new kind of mode and security design against attacks targeting algorithm. In fact it much approaches the accuracy of position and measurement complexity. Therefore, a question may be concerned is how to have resistant in designing for solitary attack or collusion positioning algorithm. The doubt becomes an urgent need to state the problem of insecure wireless sensor network environment. This study will be mainly based on the signal strength of a ranging algorithm to design a low-cost and easy to implement security positioning scheme. The ranging mode is proposed by two anti-attack targeting algorithm, the first method is combining with clustering voting mechanism and using the least squares method to locate the unknown node, called for the strengthening of anti-attack safety positioning algorithm (Enhanced Attack-Resistant secure localization algorithm, EARSLA), the second approach is using randomly selected node which can be calculated with reference to the positioning algorithm then added detection and trilateral mechanisms to take advantage of having the confidence interval limit of most formula squares method for the unknown node location, we called modified random positioning of security against attacks targeting algorithm (improved randomized Consistent Position Estimation algorithm, IRCPEA). The research about the mechanisms in the preliminary experiment will make evident in valid malicious attacks against the interference, noise, and safe positioning method. Two subsequent experiments will be presented and compared with existing literature secure positioning method. According to the experimental results, the method proposed in this study changes in malicious nodes, or the average positioning error and noise under the algorithm computing time which have encountered with a smaller average location error and less than the existing method of calculation time. Finally, this research will allow enterprises to adopt a safety-related applications targeting wireless network under great contribution.
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Libros sobre el tema "Independent sensor networks"

1

Bakshi, Amol B. Architecture-independent programming for wireless sensor networks. Hoboken, NJ: J. Wiley & Sons, 2008.

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Bakshi, Amol B. y Viktor K. Prasanna. Architecture-Independent Programming for Wireless Sensor Networks. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2007. http://dx.doi.org/10.1002/9780470289303.

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De Smedt, Valentijn, Georges Gielen y Wim Dehaene. Temperature- and Supply Voltage-Independent Time References for Wireless Sensor Networks. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-09003-0.

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H, Szu Harold, International Neural Network Society y IEEE Neural Networks Society, eds. Independent component analyses, wavelets, unsupervised smart sensors, and neural networks II: 14-15 April 2004, Orlando, Florida, USA. Bellingham, Wash., USA: SPIE, 2004.

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Szu, Harold H. y Jack Agee. Independent component analyses, wavelets, unsupervised nano-biomimetic sensors, and neural networks VI: 17-19 March 2008, Orlando, Florida, USA. Bellingham, Wash: SPIE, 2008.

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H, Szu Harold, Society of Photo-optical Instrumentation Engineers. y Ball Aerospace & Technologies Corporation (USA), eds. Independent component analyses, wavelets, unsupervised smart sensors, and neural networks III: 30 March-1 April, 2005, Orlando, Florida, USA. Bellingham, Wash: SPIE, 2005.

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H, Szu Harold, Agee Jack y Society of Photo-optical Instrumentation Engineers., eds. Independent component analyses, wavelets, unsupervised nano-biomimetic sensors, and neural networks V: 10-13 April 2007, Orlando, Florida, USA. Bellingham, Wash: SPIE, 2007.

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Architecture-Independent Programming for Wireless Sensor Networks. Wiley & Sons Canada, Limited, John, 2008.

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Prasanna, Viktor K. y Amol B. Bakshi. Architecture-Independent Programming for Wireless Sensor Networks. Wiley & Sons, Limited, John, 2007.

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Prasanna, Viktor K. y Amol B. Bakshi. Architecture-Independent Programming for Wireless Sensor Networks. Wiley & Sons, Incorporated, John, 2008.

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Capítulos de libros sobre el tema "Independent sensor networks"

1

Sangha, Pavan, Prudence W. H. Wong y Michele Zito. "Independent Sets in Restricted Line of Sight Networks". En Algorithms for Sensor Systems, 211–22. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-72751-6_16.

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Kim, Sang-Sik, Kwang-Ryul Jung, Ki-Il Kim y Ae-Soon Park. "Sink-Independent Model in Wireless Sensor Networks". En Computational Science – ICCS 2007, 745–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-72590-9_112.

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Jia, Lujun, Guevara Noubir, Rajmohan Rajaraman y Ravi Sundaram. "GIST: Group-Independent Spanning Tree for Data Aggregation in Dense Sensor Networks". En Distributed Computing in Sensor Systems, 282–304. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11776178_18.

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Qiu, Jianlin, Ye Tao y Sanglu Lu. "Differentiated Application Independent Data Aggregation in Wireless Sensor Networks". En Grid and Cooperative Computing - GCC 2005, 529–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11590354_67.

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Dubey, Tarun Kumar, Rohit Mathur y Dungar Nath Chouhan. "Localization Independent Aspects of Topology Control in Wireless Sensor Networks". En Lecture Notes in Electrical Engineering, 391–400. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7395-3_44.

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Rodrigues, André, Jorge Sá Silva y Fernando Boavida. "An Automated Application-Independent Approach to Anomaly Detection in Wireless Sensor Networks". En Lecture Notes in Computer Science, 1–14. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13174-0_1.

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Mahjoub, Dhia y David W. Matula. "Experimental Study of Independent and Dominating Sets in Wireless Sensor Networks Using Graph Coloring Algorithms". En Wireless Algorithms, Systems, and Applications, 32–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03417-6_4.

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Saikia, Monjul y Md Anwar Hussain. "Location-Independent Key Distribution for Sensor Network Using Regular Graph". En Advances in Intelligent Systems and Computing, 1–8. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7871-2_1.

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Lozano, Jesús, Antonio García, Carlos J. García, Fernándo Alvarez y Ramón Gallardo. "Wine Classification with Gas Sensors Combined with Independent Component Analysis and Neural Networks". En Lecture Notes in Computer Science, 1280–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02478-8_160.

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Tsitovich, Ivan. "Group Polling Method Upon the Independent Activity of Sensors in Unsynchronized Wireless Monitoring Networks". En Communications in Computer and Information Science, 436–48. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-36625-4_35.

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Actas de conferencias sobre el tema "Independent sensor networks"

1

Didier, Paul, Toon Van Waterschoot y Marc Moonen. "Topology-Independent GEVD-Based Distributed Adaptive Node-Specific Signal Estimation in Ad-Hoc Wireless Acoustic Sensor Networks". En 2024 32nd European Signal Processing Conference (EUSIPCO), 2317–21. IEEE, 2024. http://dx.doi.org/10.23919/eusipco63174.2024.10715035.

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Kusy, B., A. Ledeczi, M. Maroti y L. Meertens. "Node-density independent localization". En The Fifth International Conference on Information Processing in Sensor Networks. IEEE, 2006. http://dx.doi.org/10.1109/ipsn.2006.243912.

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Thiemjarus, Surapa. "A Device-Orientation Independent Method for Activity Recognition". En 2010 International Conference on Body Sensor Networks (BSN). IEEE, 2010. http://dx.doi.org/10.1109/bsn.2010.55.

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Cecílio, José, João Costa, Pedro Martins y Pedro Furtado. "Device-Independent Middleware for Industrial Wireless Sensor Networks". En 2011 IEEE 9th International Symposium on Parallel and Distributed Processing with Applications (ISPA). IEEE, 2011. http://dx.doi.org/10.1109/ispa.2011.16.

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Mingliang Xue, Wanquan Liu y Ling Li. "Person-independent facial expression recognition via hierarchical classification". En 2013 IEEE Eighth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP). IEEE, 2013. http://dx.doi.org/10.1109/issnip.2013.6529832.

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Troubleyn, Evy, Eli De Poorter, Peter Ruckebusch, Ingrid Moerman y Piet Demeester. "Supporting Protocol-Independent Adaptive QoS in Wireless Sensor Networks". En 2010 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing. IEEE, 2010. http://dx.doi.org/10.1109/sutc.2010.34.

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Dong, Nan-nan, Xiu-li Ren y Chuan-liang Jiao. "Location Independent Coverage Control Algorithm for Wireless Sensor Networks". En 2010 6th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2010. http://dx.doi.org/10.1109/wicom.2010.5601375.

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Musa, Ahmed, Tadashi Minotani, Kenichi Matsunaga, Toshihiko Kondo y Hiroki Morimura. "An 8-mode reconfigurable sensor-independent readout circuit for trillion sensors era". En 2015 IEEE Tenth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP). IEEE, 2015. http://dx.doi.org/10.1109/issnip.2015.7106913.

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King, Rachel Christina, Michael McGrath, Brian Caulfield y Guang-Zhong Yang. "CAPSIL Common Awareness and Knowledge Platform for Studying and Enabling Independent Living". En 2010 International Conference on Body Sensor Networks (BSN). IEEE, 2010. http://dx.doi.org/10.1109/bsn.2010.41.

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Wang, Huanzhao, Fanzhi Meng, Hanmei Luo y Ting Zhou. "A Location-Independent Node Scheduling for Heterogeneous Wireless Sensor Networks". En 2009 Third International Conference on Sensor Technologies and Applications (SENSORCOMM). IEEE, 2009. http://dx.doi.org/10.1109/sensorcomm.2009.90.

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Informes sobre el tema "Independent sensor networks"

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He, Tian, Brian M. Blum, John A. Stankovic y Tarek Abdelzaher. AIDA: Adaptive Application Independent Data Aggregation in Wireless Sensor Networks. Fort Belvoir, VA: Defense Technical Information Center, enero de 2005. http://dx.doi.org/10.21236/ada436798.

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Balali, Vahid. System-of-Systems Integration for Civil Infrastructures Resiliency Toward MultiHazard Events. Mineta Transportation Institute, agosto de 2023. http://dx.doi.org/10.31979/mti.2023.2245.

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Civil infrastructure systems—facilities that supply principal services, such as electricity, water, transportation, etc., to a community—are the backbone of modern society. These systems are frequently subject to multi-hazard events, such as earthquakes. The poor resiliency of these infrastructures results in many human casualties and significant economic losses every year. An outline of a holistic view that considers how different civil infrastructure systems operate independently and how they interact and communicate with each other is required to have a resilient infrastructure system. More specifically a systems engineering approach is required to enable infrastructure to remain resilient in the case of extreme events, including natural disasters. To address these challenges, this research builds on the proposal that the infrastructure systems be equipped with state-of-the-art sensor networks that continuously record the condition and performance of the infrastructure. The sensor data from each infrastructure are then transferred to a data analysis system component that employs artificial intelligence techniques to constantly analyze the infrastructure’s resiliency and energy efficiency performance. This research models the resilient infrastructure problem as a System of Systems (SoS) comprised of the abovementioned components. It explores system integration and operability challenges and proposes solutions to meet the requirements of the SoS. An integration ontology, as well as a data-centric architecture, is developed to enable infrastructure resiliency toward multi-hazard events. The Federal Emergency Management Agency (FEMA), and infrastructure managers, such as Departments of Transportation (DOTs) and the Federal Highway Administration (FHWA), can learn from and integrate these solutions to make civil infrastructure systems more resilient for all.
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