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Wyszukujesz frazę "wireless sensor networks (WSNs)" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Sensor-Actor Network Solution for Scalable Ad-hoc Sensor Networks
Autorzy:
Chaczko, Z.
Chiu, C.
Aslanzadeh, S.
Dune, T.
Powiązania:
https://bibliotekanauki.pl/articles/227214.pdf
Data publikacji:
2012
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
Sensor-Actor Networks (SANETS)
Ad-hoc Wireless Sensor Networks (WSNS)
middleware
distributed software services
Opis:
Architects 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 the remote allocation of distributed processing tasks throughout the wireless network. The solution must be solved in a highly scalable manner. This paper provides the requirements analysis and presents the design of a software system middleware that provides a scalable solution for ad-hoc sensor network infrastructure made of both stationary and mobile sensors and actuators.
Źródło:
International Journal of Electronics and Telecommunications; 2012, 58, 1; 55-62
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Efficient Wireless Sensor Network for Radiation Detection in Nuclear Sites
Autorzy:
Hashima, Sherief
Mahmoud, Imbab
Powiązania:
https://bibliotekanauki.pl/articles/1844636.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
wireless sensor networks (WSNs)
radiation detection
multi-armed bandit (MAB)
Thomson sampling
network lifetime
Opis:
Due to the severe damages of nuclear accidents, there is still an urgent need to develop efficient radiation detection wireless sensor networks (RDWSNs) that precisely monitor irregular radioactivity. It should take actions that mitigate the severe costs of accidental radiation leakage, especially around nuclear sites that are the primary sources of electric power and many health and industrial applications. Recently, leveraging machine learning (ML) algorithms to RDWSNs is a promising solution due to its several pros, such as online learning and self-decision making. This paper addresses novel and efficient ML-based RDWSNs that utilize millimeter waves (mmWaves) to meet future network requirements. Specifically, we leverage an online learning multi-armed bandit (MAB) algorithm called Thomson sampling (TS) to a 5G enabled RDWSN to efficiently forward the measured radiation levels of the distributed radiation sensors within the monitoring area. The utilized sensor nodes are lightweight smart radiation sensors that are mounted on mobile devices and measure radiation levels using software applications installed in these mobiles. Moreover, a battery aware TS (BATS) algorithm is proposed to efficiently forward the sensed radiation levels to the fusion decision center. BA-TS reflects the remaining battery of each mobile device to prolong the network lifetime. Simulation results ensure the proposed BA-TS algorithm’s efficiency regards throughput and network lifetime over TS and exhaustive search method.
Źródło:
International Journal of Electronics and Telecommunications; 2021, 67, 2; 175-180
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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