Optimal Battery Management System of a Wireless Sensor Node

CHF 71.95
Auf Lager
SKU
J6UO9K0KECA
Stock 1 Verfügbar
Geliefert zwischen Mi., 08.04.2026 und Do., 09.04.2026

Details

Nowadays, researchers' preferably giving more attention to the power consumption of a sensor node as it is the main criteria in all Wireless Sensor Networks (WSNs). Wireless Sensor Nodes of a network have some major constraints due to their limited energy, storage capacity, computing power and frequent battery replacement factor, when they meant to collect the information from an unattended location using various sensors. Hence the proposed research implements a novel power management system by introducing pack of two solar powered batteries and an automatic battery switching system with LabVIEW based real time data acquisition. The proposed approach avoids the frequent replacement of batteries in the sensor node about 90%. Hill stations, barren region, and unattended location may include the implemented WSN.

Autorentext

Dr. Ashok .j working as professor at Annasaheb College of Engineering and Technology, Maharashtra.Mr. Suhas Katkar working as an assistant professor at Annasaheb College of Engineering and Technology, Maharashtra.


Klappentext

Nowadays, researchers' preferably giving more attention to the power consumption of a sensor node as it is the main criteria in all Wireless Sensor Networks (WSNs). Wireless Sensor Nodes of a network have some major constraints due to their limited energy, storage capacity, computing power and frequent battery replacement factor, when they meant to collect the information from an unattended location using various sensors. Hence the proposed research implements a novel power management system by introducing pack of two solar powered batteries and an automatic battery switching system with LabVIEW based real time data acquisition. The proposed approach avoids the frequent replacement of batteries in the sensor node about 90%. Hill stations, barren region, and unattended location may include the implemented WSN.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783330063518
    • Genre Electrical Engineering
    • Sprache Englisch
    • Anzahl Seiten 176
    • Herausgeber LAP LAMBERT Academic Publishing
    • Größe H220mm x B150mm x T12mm
    • Jahr 2017
    • EAN 9783330063518
    • Format Kartonierter Einband (Kt)
    • ISBN 3330063513
    • Veröffentlichung 15.06.2017
    • Titel Optimal Battery Management System of a Wireless Sensor Node
    • Autor John Ashok , Suhas Katkar
    • Gewicht 280g

Bewertungen

Schreiben Sie eine Bewertung
Nur registrierte Benutzer können Bewertungen schreiben. Bitte loggen Sie sich ein oder erstellen Sie ein Konto.
Made with ♥ in Switzerland | ©2025 Avento by Gametime AG
Gametime AG | Hohlstrasse 216 | 8004 Zürich | Schweiz | UID: CHE-112.967.470
Kundenservice: customerservice@avento.shop | Tel: +41 44 248 38 38