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This reprint presents a collection of original research and survey articles that tackle the practical challenges in large-scale and rapid deployment of sensors for diverse applications as well as the resulting Big Data processing. The complexity of the generated data ranges from large-scale sensor networks to smartphone-enabled citizen sensing data from social networks and personal health devices, which requires advanced data processing, mining and fusion methods. Solutions listed in this book include those that address issues of the interoperability of IoT solutions and data fragmentation through crawling, indexing and searching IoT data sources and the predictive maintenance of sensors. Social networks are also in scope, through a visualisation system for the analysis of anomalies in social graphs, detecting context-aware sociability patterns and assessing the effectiveness of fine tuning and pretrained word embedding in generating interpretable topics from short texts in social networks. Applications in scope include smart tourism, fall detection through personal health sensors and an energy management expert assistant.

Titel:	Sensor Networks
Autor/in / Beteiligte Person:	De, Suparna ; Moessner, Klaus
Link:	View record at Directory of Open Access Books (Volltext)
Veröffentlichung:	Basel: MDPI - Multidisciplinary Digital Publishing Institute, 2023
Medientyp:	E-Book
Umfang:	316
ISBN:	978-3-0365-7468-4 (print) ; 978-3-0365-7469-1 (print)
DOI:	10.3390/books978-3-0365-7469-1
Schlagwort:	anomaly detection visualization social communication egocentric network internet of things mental health pervasive computing context awareness sociability social behavior sociability pattern fall detection wearable sensors sampling rate data preprocessing feature extraction Machine Learning Internet of Things search security privacy reliability IoT search framework IoT data sources home energy management systems (HEMS) Internet of Things (IoT) artificial intelligence (AI) Voice Assistant machine learning (ML) big data fault detection sensor data industry 4.0 data reduction feature analysis feature selection indicators artificial neural network location privacy perturbation mechanism proximity detection digital contact tracing multi-floor areas short-text data neural-topic model pretrained word embedding coherent topic fine-tuning smart tourism social sensing sensors e-tourism distributed-architecture Spark Zenoh FaaS Elasticsearch industrial revolution 4.0 (IR 4.0) computer networks network security wireless sensor networks (WSN) systematic literature review (SLR) state-of-the-art aggregation authentication key management smart home smart meter bic Book Industry Communication:T Technology, engineering, agriculture:TB Technology: general issues bic Book Industry Communication:T Technology, engineering, agriculture:TB Technology: general issues:TBX History of engineering & technology
Sonstiges:	Nachgewiesen in: Directory of Open Access Books Sprachen: English Document Type: eBook File Description: image/jpeg Language: English Rights: Attribution 4.0 International ; URL: https://creativecommons.org/licenses/by/4.0/ Notes: ONIX_20230623_9783036574684_36

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Sensor Networks