Dependable IoT for Human and Industry
Regular price
€104.99
14 days return policy
Shipping & Delivery
BLE
blockchain integration
Category=UBW
Cloud Computing
Cps
cyber physical systems
dependable IoT modeling techniques
drone fleet management
Embedded Systems
Energy Efficiency
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Fog Computing
industrial automation systems
Intelligent Transport System
IoT Application
IoT Device
IoT Infrastructure
IoT security assessment
IoT System
IoT Technology
LPWAN
MIT Open Courseware
OGC
Power Consumption
PSOC
Raspberry Pi
RL
SCADA System
Smart Cities
smart city applications
Smart Grid
Smart Objects
Tcp
Wireless Sensor Network
Product details
- ISBN 9788770220149
- Weight: 1016g
- Dimensions: 156 x 234mm
- Publication Date: 31 Jul 2018
- Publisher: River Publishers
- Publication City/Country: DK
- Product Form: Hardback
Secure
checkout
Fast Shipping
Easy returns
There are numerous publications which introduce and discuss the Internet of Things (IoT). In the midst of these, this work has several unique characteristics which should change the reader’s perspective, and in particular, provide a more profound understanding of the impact of the IoT on society. Dependable IoT for Human and Industry covers the main aspects of Internet of Things and IoT based systems such as global issues of applications, modeling, development and implementation of dependable IoT for different human and industry domains. Technical topics discussed in the book include: Introduction in Internet of vital and trust Things Modelling and assessment techniques for dependable and secure IoT systems Architecting and development of IoT systems Implementation of IoT for smart cities and drone fleets; business and blockchain, transport and industry Training courses and education experience on Internet and Web of ThingThe book contains chapters which have their roots in the International Conference IDAACS 2017, and Workshop on Cyber Physical Systems and IoT Dependability CyberIoT-DESSERT 2017.
Vyacheslav Kharchenko, Ah Lian Kor, Andrzej Rucinski
