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Wyszukujesz frazę "data aggregation" wg kryterium: Temat


Tytuł:
Analysis of data aggregation methods and related issues in Wireless Sensor Networks
Autorzy:
Nels, S. Ninisha
Singh, J. Amar Pratap
Tematy:
data aggregation
wireless sensor network
WSN
clustering
cluster head
CH
cluster-based data aggregation
Pokaż więcej
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Powiązania:
https://bibliotekanauki.pl/articles/2050167.pdf  Link otwiera się w nowym oknie
Opis:
Data aggregation is the process aimed at reducing the transmission count of packets being transmitted in the framework of in-network data processing. It is the data transmission model that takes the information transmitted from different nodes and generates a single data packet after finding and eliminating the redundant packets. Accordingly, this process decreases the transmission count and makes it possible to consume less energy. The major issues in data aggregation mechanism are related to reduction of latency and to energy balancing. Moreover, it is very complex to resolve the issue of packet loss, which is the failure of one or more transmitted packets to arrive at their destination due to the bad and/or congested channel conditions. The present survey involves a collection of 50 research papers dealing with the data aggregation models in wireless sensor networks (WSN). Various data aggregation methods, like the cluster-based approach, structure-free method, tree-based approach, in-network methods, and energy based aggregation model are considered in this survey, regarding the application and the energy usage involved. On the basis of the survey, the issues and drawbacks faced by the respective methodologies are highlighted. In addition, the paper presents simple statistics of the studies considered with respect to the performance measures, simulation tools, publication year, and classification of methods. The future dimensions of the respective research are supposed to be based on the challenges identified in this survey.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Robust distributed privacy-preserving secure aggregation in vehicular communication
Autorzy:
Qin, B.
Wu, Q.
Domingo-Ferrer, J.
Susilo, W.
Tematy:
authentication
vehicle privacy
data aggregation
VANETs
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Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Powiązania:
https://bibliotekanauki.pl/articles/206240.pdf  Link otwiera się w nowym oknie
Opis:
Vehicular ad hoc networks (VANETs), formed by computers embedded in vehicles and the traffic infrastructure, are expected to develop in the near future to improve traffic safety and efficiency. To this end, VANETs should be designed to be resistant against various abuses and attacks. In this paper, we first review the existing proposals to provide security, privacy, and data aggregation in vehicle-to-vehicle communication. We then address the fundamental issue of achieving these conflicting properties in a unified solution, having observed that separate efforts cannot fulfill the VANET design objectives. A set of new mechanisms are suggested for efficiently managing identities and securely compressing cryptographic witnesses, which are among the major obstacles to the deployment of strong security mechanisms in VANETs. Finally, we employ the standard threshold cryptographic technology to improve the basic protocol with robustness.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Physicochemical and thermophysical database (DAFIT) in the prospect of Java and data warehouse
Autorzy:
Bylicki, A.
Gorawski, M.
Tematy:
physicochemical properties
thermophysical properties
database
data warenhouse
OLAP
data aggregation
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Wydawca:
Politechnika Gdańska
Powiązania:
https://bibliotekanauki.pl/articles/1941707.pdf  Link otwiera się w nowym oknie
Opis:
In this paper, we are discussing the meaning of DaFiT database for knowledge on physicochemical properties, methods of database access and graphical presentation. The paper presents the state of development of DaFiT database and concentrates on the application of the Java and DW technologies.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Integer Matrix Keys for Secure Data Aggregation in Clustered Wireless Sensor Networks
Autorzy:
Chethana, G.
Padmaja, K.V.
Tematy:
loss-less data aggregation
integer matrices as keys
finite field Zp
homomorphic aggregation
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Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Powiązania:
https://bibliotekanauki.pl/articles/1844481.pdf  Link otwiera się w nowym oknie
Opis:
Providing Privacy and security for aggregated data in wireless sensor networks has drawn the attention of practicing engineers and researchers globally. Several cryptographic methods have been already proposed to solve security and data integrity problems for aggregated data. Matrix cryptography is a better option for creating secure encryption/decryption algorithms to counter quantum attack. However, these algorithms have higher computational cost and increased communication overhead. Hence, a new technique of loss-less secure data aggregation in Clustered Wireless Sensor Networks is presented. The proposed method uses integer matrices as keys for data security and data integrity. Matrix operations are carried out in finite field Zp. Loss-less secure data aggregation is extended for homomorphic summation while the cipher text expansion ratio is kept substantially low. The proposed algorithm has inbuilt fast and efficient signature verification facility. The execution time of our signature verification mechanism is found to be approximately 50 percent less compared to a couple of standard existing signature verification schemes.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Secure Data Aggregation Mechanism based on Constrained Supervision for Wireless Sensor Network
Autorzy:
Wang, Yubo
Li, Liang
Ao, Chen
Zhang, Puning
Wang, Zheng
Zhao, Xinyang
Tematy:
Wireless Sensor Network
security data aggregation
trust management
constrained supervision
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Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Powiązania:
https://bibliotekanauki.pl/articles/226140.pdf  Link otwiera się w nowym oknie
Opis:
The data aggregation process of wireless sensor networks faces serious security problems. In order to defend the internal attacks launched by captured nodes and ensure the reliability of data aggregation, a secure data aggregation mechanism based on constrained supervision is proposed for wireless sensor network, which uses the advanced LEACH clustering method to select cluster heads. Then the cluster heads supervise the behaviors of cluster members and evaluate the trust values of nodes according to the communication behavior, data quality and residual energy. Then the node with the highest trust value is selected as the supervisor node to audit the cluster head and reject nodes with low trust values. Results show that the proposed mechanism can effectively identify the unreliable nodes, guarantee the system security and prolong the network life time.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An Energy Efficient and Scalable WSN with Enhanced Data Aggregation Accuracy
Autorzy:
Saadallah, Noor Raad
Alabady, Salah Abdulghani
Tematy:
data aggregation
energy consumption
lossless compression
LZW algorithm
WSN
scheduling
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Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Powiązania:
https://bibliotekanauki.pl/articles/58906720.pdf  Link otwiera się w nowym oknie
Opis:
This paper introduces a method that combines the K-means clustering genetic algorithm (GA) and Lempel-Ziv-Welch (LZW) compression techniques to enhance the efficiency of data aggregation in wireless sensor networks (WSNs). The main goal of this research is to reduce energy consumption, improve network scalability, and enhance data aggregation accuracy. Additionally, the GA technique is employed to optimize the cluster formation process by selecting the cluster heads, while LZW compresses aggregated data to reduce transmission overhead. To further optimize network traffic, scheduling mechanisms are introduced that contribute to packets being transmitted from sensors to cluster heads. The findings of this study will contribute to advancing packet scheduling mechanisms for data aggregation in WSNs in order to reduce the number of packets from sensors to cluster heads. Simulation results confirm the system's effectiveness compared to other compression methods and non-compression scenarios relied upon in LEACH, M-LEACH, multi-hop LEACH, and sLEACH approaches.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An expectation-maximization algorithm for logistic regression based on individual-level predictors and aggregate-level response
Autorzy:
Xu, Zheng
Tematy:
expectation-maximization algorithm
missing values
Poisson binomial distribution
logistic regression
data aggregation
numerical optimization
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Wydawca:
Główny Urząd Statystyczny
Powiązania:
https://bibliotekanauki.pl/articles/59315519.pdf  Link otwiera się w nowym oknie
Opis:
Logistic regression is widely used in complex data analysis. When predictors are at individual level and the response at aggregate level, logistic regression can be estimated using the Maximum Likelihood Estimation (MLE) method with the joint likelihood function formed by Poisson binomial distributions. When directly maximizing the complicated likelihood function, the performance of MLE will worsen as the number of predictors increases. In this article, we propose an expectation-maximization (EM) algorithm to avoid the direct maximization of the complicated likelihood function. Simulation studies have been conducted to evaluate the performance of our EM estimator compared to different estimators proposed in the literature. Two real data-based studies have been conducted to illustrate the use of the different estimators. Our EM estimator proves efficient f or t he l ogistic r egression problem with an aggregate-level response and individual-level predictors.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Effective Approach for Data Aggregation in Wireless Sensor Network: a Structure Free Approach
Autorzy:
Prasad, U.
Adane, D. S.
Tematy:
wireless sensor networks
throughput
delay
energy efficiency
protocols
event based
dynamic
Data Aggregation
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Wydawca:
Społeczna Akademia Nauk w Łodzi
Powiązania:
https://bibliotekanauki.pl/articles/108713.pdf  Link otwiera się w nowym oknie
Opis:
Wireless Sensor Network consist of thousands sensor node which have limited Power, Computation, Sensing and Communication capabilities. Among all operation of Sensor Node, Wireless Communication consumes most of the energy. So it is necessary to decrease the number of packets transmitted through the network. Many Sensor Node could detect similar event, which increases the overall bandwidth utilization to transmit redundant data. Here Nodes computation is cheaper than communication in terms of energy. So the technique of Data Aggregation is applied to summarize data which decreases the amount of data transmitted in the network, which in turn increases the lifetime of the network. Many Data aggregation protocols are based on a structured approach which is suitable for data collection application. But maintenance of the structure is an extra overhead and this approach is not suitable for dynamic scenario. So we propose an ad-hoc data aggregation protocol for dynamic scenario mainly event based application.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Penalty-based aggregation of multidimensional data
Raport Badawczy = Research Report ; RB/3/2016
Autorzy:
Gągolewski, Marek. Autor
Wydawca:
Instytut Badań Systemowych. Polska Akademia Nauk
Systems Research Institute. Polish Academy of Sciences
Powiązania:
Raport Badawczy = Research Report
Opis:
Bibliography p. 24-30
Bibliografia s. 24-30
null
30 pages ; 21 cm
30 stron ; 21 cm
Dostawca treści:
RCIN - Repozytorium Cyfrowe Instytutów Naukowych
Książka
Tytuł:
Effects of choice of data aggregation method to a point on walking accessibility results using the G2SFCA method
Wpływ wyboru metody agregacji danych do punktu na wyniki dostępności pieszej uzyskane przy wykorzystaniu metody G2SFCA
Autorzy:
Lechowski, Łukasz
Tematy:
spatial accessibility
walking accessibility
GIS
2SFCA
data aggregation
dostępność przestrzenna
dostępność piesza
agregacja danych
Pokaż więcej
Wydawca:
Uniwersytet Gdański. Komisja Geografii Komunikacji Polskiego Towarzystwa Geograficznego
Powiązania:
https://bibliotekanauki.pl/articles/34656131.pdf  Link otwiera się w nowym oknie
Opis:
In spatial accessibility studies based on market areas, such as floating catchment area (FCA) family methods, it is crucial to identify the point to which weights are assigned, both on the demand and supply side. Bearing in mind that it is not always possible to work on disaggregated data, the aim of this paper was to investigate which method of determining a point, minimises bias in the estimation of walking accessibility. The research used the G2SFCA method, introduced by Dai, which has been employed several times to model walking accessibility. Results clearly show that point location methods for area units, based on disaggregating data to buildings, perform better at the scale of statistical districts or cadastral precincts, compared to those based on the centrally weighted mean. They also show that positional measures such as the Euclidean centrally weighted median can improve the results of analyses in units that are heterogeneous in terms of settlement network pattern.
Dostawca treści:
Biblioteka Nauki
Artykuł

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