A Beginner's Guide to Data Agglomeration and Intelligent Sensing

Cover
A Beginner’s Guide to Data Agglomeration and Intelligent Sensing
Copyright
Contents
About the authors
Preface
Acknowledgment
one Introduction to sensors and systems
	1.1 Fundamentals of sensors/transducers
	1.2 Principles and properties
	1.3 Classification of sensors
	1.4 Networking methodology
		1.4.1 Fifth-generation technology
		1.4.2 Bluetooth low energy
	1.5 Types of sensors
		1.5.1 Sound energy-based sensing
		1.5.2 Thermal energy-based sensing
		1.5.3 Optical energy-based sensing
		1.5.4 Chemical energy-based sensing
		1.5.5 Radioactivity sensing
	1.6 Smart sensors and transducers
		1.6.1 Electronic interfacing for smart sensors
		1.6.2 Universal transducer interface
		1.6.3 IEEE 1451 smart transducers
	1.7 Summary
	References
two Real-life application of sensors and systems
	2.1 Overview of Internet of things
	2.2 Design perspective
	2.3 Related platform
		2.3.1 Amazon web service
		2.3.2 Google Cloud Platform
	2.4 Real-life examples and implementation
		2.4.1 A device to a cloud system
		2.4.2 Home automation system
		2.4.3 Body sensor networks
			2.4.3.1 Arduino microcontroller
			2.4.3.2 Datalogger
		2.4.4 Implantable wireless body area network
		2.4.5 Application of WBAN in medical cyber-physical systems
	2.5 WSN simulation environments
		2.5.1 OMNeT++ simulator
		2.5.2 Opportunistic network simulation environment
		2.5.3 Simulation result and analysis
		2.5.4 Localization of sensor nodes in simulation perspective
		2.5.5 Performance analysis
	2.6 Summary
	References
three Wireless sensor network: principle and application
	3.1 Wireless communication and sensor networks
		3.1.1 Network architecture
		3.1.2 Network topology
	3.2 Sensor components and technology
		3.2.1 Micro electro-mechanical devices
		3.2.2 MEMS accelerometer
		3.2.3 MEMS gyroscope
	3.3 Sensor network protocols
		3.3.1 Flat-based routing
		3.3.2 Adaptive routing mechanism
		3.3.3 Hierarchy-based routing
	3.4 Sensor networks application scenario
		3.4.1 UAS-based sensor network
		3.4.2 MAVlink protocol background
		3.4.3 A case study on Ardupilot and mission planner for sensing and communication
		3.4.4 Renewable energy integration using WSN
		3.4.5 Vehicular sensor network for agriculture and food management
	3.5 Summary
	References
four Overview of sensor cloud
	4.1 Basics of cloud computing
		4.1.1 Key features of cloud computing
		4.1.2 Cloud computing architecture
	4.2 Types of clouds
		4.2.1 Public cloud
		4.2.2 Private cloud
		4.2.3 Hybrid cloud
	4.3 Cloud computing models
		4.3.1 Software as a service
		4.3.2 Platform as a service
		4.3.3 Infrastructure as a service
	4.4 Sensor cloud platform
	4.5 Sensor cloud architecture
	4.6 Sensor cloud workflow
		4.6.1 Workflow procedure
		4.6.2 Difficulties in sensor cloud platform
	4.7 Application scenario
	4.8 Summary
	References
five Sensor data accumulation methodologies
	5.1 Sensor data classification
	5.2 Data transmission methodology
		5.2.1 Unicast
		5.2.2 Multicasting
		5.2.3 Broadcasting
	5.3 Convergecast: inverse of broadcasting
		5.3.1 Important issues
	5.4 Data aggregation
		5.4.1 Fundamentals of aggregation
		5.4.2 Need for aggregation
	5.5 Choice of MAC layer
	5.6 Energy analysis
	5.7 Data collection methodologies
	5.8 Types of aggregation
		5.8.1 Network aggregation
		5.8.2 Tree-based approach
		5.8.3 Cluster-based aggregation
	5.9 Summary
	References
	Further reading
six Intelligent sensor network
	6.1 Introduction
	6.2 Intelligence hierarchy
	6.3 Preliminary concepts of AI and Machine Learning
		6.3.1 Unsupervised learning method
		6.3.2 Supervised learning method
		6.3.3 Real-life example of prediction
	6.4 Intelligent approaches in WSN node deployment
		6.4.1 Node deployment using PSO-Voronoi
		6.4.2 Node deployment using ACO
	6.5 Intelligent routing overview
		6.5.1 Routing basics
		6.5.2 SDN overview
	6.6 Sensor data mining
		6.6.1 Accelerometer sensor data classification: a case study
		6.6.2 Random forest classification
	6.7 Intelligent sensor network applications
	6.8 Summary
	References
	Further reading
seven Conclusion
	7.1 Chapters 1 and 2
	7.2 Chapters 3 and 4
	7.3 Chapters 5 and 6
	7.4 Scope for future enhancement
Index
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