Sensor Networks Physical and Social Sensing in the IoT

• その他の著者: De, Suparna (編集者), Moessner, Klaus (編集者)
• フォーマット: 電子媒体 図書の章
• 言語: 英語
• 出版事項: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• 主題: Technology: general issues; History of engineering & technology; 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; n/a
• オンライン･アクセス: DOAB: download the publication; DOAB: description of the publication

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 n...