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2019 | OriginalPaper | Buchkapitel

Context-Aware Indoor Environment Monitoring and Plant Prediction Using Wireless Sensor Network

verfasst von : Sadia Mughal, Fahad Razaque, Mukesh Malani, Muhammad Raheel Hassan, Saqib Hussain, Ahsan Nazir

Erschienen in: Emerging Technologies in Computing

Verlag: Springer International Publishing

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Abstract

Remote sensor networks are a flexible innovation that deals the capacity to observe thorough actual occurrences as well as a wide-range environment where physical frameworks are considered unsuitable and costly. This study presents the context-aware based remote sensing network (remote or wireless sensor networks or WSN uses alternatively in this paper) for indoor ecological observing at home. Indoor environs atmosphere as well as stability among occupant’s well-being and predicting plants are the principles of this proposed framework. The introduced framework comprises of various sensor gadgets simultaneously evaluating temperature, relative humidity via mobile sensors, illumination, carbon dioxide CO₂, oxygen O₂ and benzene C₆H₆ levels in separate spaces. This study also exhibits the framework structure, the context-aware lifecycle and the context modeling and reasoning architectures for observing the environment.

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Vorheriges Kapitel Smart Airports: Review and Open Research Issues

Nächstes Kapitel Achieving Fairness by Using Dynamic Fragmentation and Buffer Size in Multihop Wireless Networks

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Titel: Context-Aware Indoor Environment Monitoring and Plant Prediction Using Wireless Sensor Network
verfasst von: Sadia Mughal
Fahad Razaque
Mukesh Malani
Muhammad Raheel Hassan
Saqib Hussain
Ahsan Nazir
Verlag: Springer International Publishing
Buch: Emerging Technologies in Computing
Print ISBN: 978-3-030-23942-8

Electronic ISBN: 978-3-030-23943-5

Copyright-Jahr: 2019
DOI: https://doi.org/10.1007/978-3-030-23943-5_11

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