Water and Sewerage service providers in Kenya have encountered challenges in proficient collection of water billing data from customer’s meters. This necessitates the need to implement a proper data collection mechanism that can be implemented remotely, effortlessly, and accurately. Recent advances in telemetry now provide reliable water meter data. However no water utility has implemented a technology based, remote data collection strategy. A Zigbee WPAN-to-WAN solution for water meter data collection is thus a viable solution. This study addressed the ability to create a model, prototype and project for a water meter sensor network based on IEEE 802.15.4 ZigBee standard. The resulting mesh network allowed collection of data logged from the water meter sensors in real time remotely and accurately. The PPDIOO lifestyle approach was used to develop the model, prototype and set-up the project. Devices in the WPAN were identified using IPv6 to enable scalability. One FFD ZigBee device coordinated the WPAN and enabled multi-path forwarding of data collected to a Network Coordinator. The model, prototype and project developed in this study served to inform the development of WSN.
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Water and Sewerage service providers in Kenya have encountered challenges in proficient collection of water billing data from customer's meters. This necessitates the need to implement a proper data collection mechanism that can be implemented remotely, effortlessly, and accurately. Recent advances in telemetry now provide reliable water meter data. However no water utility has implemented a technology based, remote data collection strategy. A Zigbee WPAN-to-WAN solution for water meter data collection is thus a viable solution. This study addressed the ability to create a model, prototype and project for a water meter sensor network based on IEEE 802.15.4 ZigBee standard. The resulting mesh network allowed collection of data logged from the water meter sensors in real time remotely and accurately. The PPDIOO lifestyle approach was used to develop the model, prototype and set-up the project. Devices in the WPAN were identified using IPv6 to enable scalability. One FFD ZigBee device coordinated the WPAN and enabled multi-path forwarding of data collected to a Network Coordinator. The model, prototype and project developed in this study served to inform the development of WSN. 144 pp. Englisch. N° de réf. du vendeur 9786136886657
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mindo KiroriKirori Mindo is a community absorbed Researcher and PhD Candidate at Kabarak University w 7 years experience in planning, organization and mobilization funds for research projects as well as engagement in research and IC. N° de réf. du vendeur 385844689
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
Paperback. Etat : Brand New. 144 pages. 8.66x5.91x0.33 inches. In Stock. N° de réf. du vendeur zk6136886650
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Water and Sewerage service providers in Kenya have encountered challenges in proficient collection of water billing data from customer's meters. This necessitates the need to implement a proper data collection mechanism that can be implemented remotely, effortlessly, and accurately. Recent advances in telemetry now provide reliable water meter data. However no water utility has implemented a technology based, remote data collection strategy. A Zigbee WPAN-to-WAN solution for water meter data collection is thus a viable solution. This study addressed the ability to create a model, prototype and project for a water meter sensor network based on IEEE 802.15.4 ZigBee standard. The resulting mesh network allowed collection of data logged from the water meter sensors in real time remotely and accurately. The PPDIOO lifestyle approach was used to develop the model, prototype and set-up the project. Devices in the WPAN were identified using IPv6 to enable scalability. One FFD ZigBee device coordinated the WPAN and enabled multi-path forwarding of data collected to a Network Coordinator. The model, prototype and project developed in this study served to inform the development of WSN.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 144 pp. Englisch. N° de réf. du vendeur 9786136886657
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Water and Sewerage service providers in Kenya have encountered challenges in proficient collection of water billing data from customer's meters. This necessitates the need to implement a proper data collection mechanism that can be implemented remotely, effortlessly, and accurately. Recent advances in telemetry now provide reliable water meter data. However no water utility has implemented a technology based, remote data collection strategy. A Zigbee WPAN-to-WAN solution for water meter data collection is thus a viable solution. This study addressed the ability to create a model, prototype and project for a water meter sensor network based on IEEE 802.15.4 ZigBee standard. The resulting mesh network allowed collection of data logged from the water meter sensors in real time remotely and accurately. The PPDIOO lifestyle approach was used to develop the model, prototype and set-up the project. Devices in the WPAN were identified using IPv6 to enable scalability. One FFD ZigBee device coordinated the WPAN and enabled multi-path forwarding of data collected to a Network Coordinator. The model, prototype and project developed in this study served to inform the development of WSN. N° de réf. du vendeur 9786136886657
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. A Zigbee Model for Water Flow Telemetry | Kirori Mindo | Taschenbuch | 144 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786136886657 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de réf. du vendeur 111427076
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