TY  - GEN
T1  - Sensor Networks
A2  - De, Suparna
LA  - eng
PB  - MDPI - Multidisciplinary Digital Publishing Institute
YR  - 2023
UL  - https://ebooks.jgu.edu.in/Record/doab-20.500.12854-100804
AB  - 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.
SN  - 9783036574684
SN  - 9783036574691
KW  - anomaly detection
KW  - visualization
KW  - social communication
KW  - egocentric network
KW  - internet of things
KW  - mental health
KW  - pervasive computing
KW  - context awareness
KW  - sociability
KW  - social behavior
KW  - sociability pattern
KW  - fall detection
KW  - wearable sensors
KW  - sampling rate
KW  - data preprocessing
KW  - feature extraction
KW  - Machine Learning
KW  - Internet of Things
KW  - search
KW  - security
KW  - privacy
KW  - reliability
KW  - IoT search framework
KW  - IoT data sources
KW  - home energy management systems (HEMS)
KW  - Internet of Things (IoT)
KW  - artificial intelligence (AI)
KW  - Voice Assistant
KW  - machine learning (ML)
KW  - big data
KW  - fault detection
KW  - sensor data
KW  - industry 4.0
KW  - data reduction
KW  - feature analysis
KW  - feature selection
KW  - indicators
KW  - artificial neural network
KW  - location privacy
KW  - perturbation mechanism
KW  - proximity detection
KW  - digital contact tracing
KW  - multi-floor areas
KW  - short-text data
KW  - neural-topic model
KW  - pretrained word embedding
KW  - coherent topic
KW  - fine-tuning
KW  - smart tourism
KW  - social sensing
KW  - sensors
KW  - e-tourism
KW  - distributed-architecture
KW  - Spark
KW  - Zenoh
KW  - FaaS
KW  - Elasticsearch
KW  - industrial revolution 4.0 (IR 4.0)
KW  - computer networks
KW  - network security
KW  - wireless sensor networks (WSN)
KW  - systematic literature review (SLR)
KW  - state-of-the-art
KW  - aggregation
KW  - authentication
KW  - key management
KW  - smart home
KW  - smart meter
KW  - n/a
KW  - thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
KW  - thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
ER  -