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Wyświetlanie 1-2 z 2
Tytuł:
Analysis of data aggregation methods and related issues in Wireless Sensor Networks
Autorzy:
Nels, S. Ninisha
Singh, J. Amar Pratap
Powiązania:
https://bibliotekanauki.pl/articles/2050167.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
data aggregation
wireless sensor network
WSN
clustering
cluster head
CH
cluster-based data aggregation
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.
Źródło:
Control and Cybernetics; 2020, 49, 4; 419-446
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fuzzy-based firefly and ACO algorithm for densely deployed WSN
Autorzy:
Sharma, Tripti
Mohapatra, Amar Kumar
Tomar, Geetam
Powiązania:
https://bibliotekanauki.pl/articles/38700721.pdf
Data publikacji:
2023
Wydawca:
Instytut Podstawowych Problemów Techniki PAN
Tematy:
clustering
firefly
WSN
ant colony optimization
fuzzy
wireless sensor
healthcare network
FIS
grupowanie
robaczek świętojański
optymalizacja kolonii mrówek
rozmyty
czujnik bezprzewodowy
sieć opieki zdrowotnej
Opis:
Most of the wireless sensor networks (WSNs) used in healthcare and security sectors are affected by the battery constraints, which cause a low network lifetime problem and prevents these networks from achieving their maximum performance. It is anticipated that by combining fuzzy logic (FL) approximation reasoning approach with WSN, the complex behavior of WSN will be easier to handle. In healthcare, WSNs are used to track activities of daily living (ADL) and collect data for longitudinal studies. It is easy to understand how such WSNs could be used to violate people’s privacy. The main aim of this research is to address the issues associated with battery constraints for WSN and resolve these issues. Such an algorithm could be successfully applied to environmental monitoring for healthcare systems where a dense sensor network is required and the stability period should be high.
Źródło:
Computer Assisted Methods in Engineering and Science; 2023, 30, 2; 223-246
2299-3649
Pojawia się w:
Computer Assisted Methods in Engineering and Science
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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