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Internet Of Things
Internet of things, also called the Internet of Objects “Machine-to-Machine Era”
“Internet of Everything. The term Internet of Things was first used by Kecin Ashton in
1999.The Internet of Things was “Born” between 2008 and 2009.
What is IOT?
Internet of things (IOT) is the term used to describe any kind of application that
connected and made things interact via the internet.
With the huge number of things/objects and sensors/actuators connected to the
Internet, a massive and in some cases real-time data flow will be automatically produced by
connected things and sensors. It is important to collect correct raw data in an efficient way;
but more important is to analyze and mine the raw data to abstract more valuable information
such as correlations among things and services to provide web of things or Internet of
services. However, many challenges and problems remain unsolved as of now or not fully
addressed due to the unique features of IOT systems. First, IOT needs an appropriate
architecture such as a service-oriented, a content-centric, or a thing-centric architecture.
Second, it is truly challenging to design efficient protocols to cater for diverse IOT devices,
sensors and services. The goal of this special issue of IEEE Sensors Journal is to feature
latest advances and directions in IOT architecture, protocols and services for typical IOT use
cases (such as smart grid, connected cars, smart cities, etc), their performance, impact,
demands and implications on future Internet design.
Scope
Papers should contain original results or review/tutorial content to be accessible to general
audiences working in the field. Topics of interest are listed, but not limited to, as follows:
i. Sensors in scalable IOT architecture
ii. Mobile and participatory sensor networks for IOT
iii. Wireless sensor networks for IOT
iv. Sensing and actuating as an IOT service
v. Sensor network virtualization
vi. IOT identification, addressing and naming schemes
vii. Sensor communications protocols for IOT: energy efficiency, security & privacy,
autonomous management
viii. IOT sensor data collection, management and analytics
ix. Semantic sensor services for IOT
x. Cloud computing and services for IOT
xi. Big sensor data for IOT
xii. New IOT applications and use cases
xiii. IOT test-beds in realistic environments
Typical view of the internet of things
Characteristics
i. Ambient Intelligence
ii. Flexible Structure
iii. Semantic Sharing
iv. Complex Access Technologies
v. Event Driven
Internet stages popularity enable internet of
things
Applications of IOT
Education
Pharmaceuticals
Logistics
Retail
Management
Food
Management
 Data management
 Waste management
 Urban planning
 Production management
Logistics
 Warehouse, management
 Inventory control
 Port management
o ETAs, ETDs
o Ships, boats, containers
 Executable code
Retail
 Intelligent shopping
 Bar code in retail
 Electronic tags
Pharmaceuticals
• Intelligent tags for drugs
• Drug usage tracking
• Pharma. Product websites
(Enable the emergency
treatment to be
given faster and more correct)
Food
• Control geographical origin
• Food production management
• Nutrition calculations
(Prevent overproduction and shortage
Control food quality, health and safety.)
Challenges and Issues
 Society: People, security, privacy
o A policy for people in the Internet of Things:
o Legislation
 Environmental aspects
o Resource efficiency
o Pollution and disaster avoidance
 Technological
o Architecture (edge devices, servers, discovery services, security, etc.)
o Governance, naming, identity, interfaces
o Service openness, interoperability
o Connections of real and virtual world
o Standards
 Identity
o Online Fragmentation of Identity
 Efficiency
o speed - person loses identity and is an IP address
 Decisions
o do not delegate too much of our decision making and freedom of choice to things
and machines
INTERNET
OF
THINGS
References
Web sites
Wikipedia
GSM
Computer Desktop Encyclopedia
Inf.unibz.it
Linkedin
Cisco. IBSG
Fppt
Iot

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Iot

  • 2.
  • 3. Internet Of Things Internet of things, also called the Internet of Objects “Machine-to-Machine Era” “Internet of Everything. The term Internet of Things was first used by Kecin Ashton in 1999.The Internet of Things was “Born” between 2008 and 2009. What is IOT? Internet of things (IOT) is the term used to describe any kind of application that connected and made things interact via the internet. With the huge number of things/objects and sensors/actuators connected to the Internet, a massive and in some cases real-time data flow will be automatically produced by connected things and sensors. It is important to collect correct raw data in an efficient way; but more important is to analyze and mine the raw data to abstract more valuable information such as correlations among things and services to provide web of things or Internet of services. However, many challenges and problems remain unsolved as of now or not fully addressed due to the unique features of IOT systems. First, IOT needs an appropriate architecture such as a service-oriented, a content-centric, or a thing-centric architecture. Second, it is truly challenging to design efficient protocols to cater for diverse IOT devices, sensors and services. The goal of this special issue of IEEE Sensors Journal is to feature latest advances and directions in IOT architecture, protocols and services for typical IOT use cases (such as smart grid, connected cars, smart cities, etc), their performance, impact, demands and implications on future Internet design.
  • 4. Scope Papers should contain original results or review/tutorial content to be accessible to general audiences working in the field. Topics of interest are listed, but not limited to, as follows: i. Sensors in scalable IOT architecture ii. Mobile and participatory sensor networks for IOT iii. Wireless sensor networks for IOT iv. Sensing and actuating as an IOT service v. Sensor network virtualization vi. IOT identification, addressing and naming schemes vii. Sensor communications protocols for IOT: energy efficiency, security & privacy, autonomous management viii. IOT sensor data collection, management and analytics ix. Semantic sensor services for IOT x. Cloud computing and services for IOT xi. Big sensor data for IOT xii. New IOT applications and use cases xiii. IOT test-beds in realistic environments
  • 5. Typical view of the internet of things Characteristics i. Ambient Intelligence ii. Flexible Structure iii. Semantic Sharing iv. Complex Access Technologies v. Event Driven Internet stages popularity enable internet of things
  • 6. Applications of IOT Education Pharmaceuticals Logistics Retail Management Food Management  Data management  Waste management  Urban planning  Production management Logistics  Warehouse, management  Inventory control  Port management o ETAs, ETDs o Ships, boats, containers  Executable code Retail  Intelligent shopping  Bar code in retail  Electronic tags Pharmaceuticals • Intelligent tags for drugs • Drug usage tracking • Pharma. Product websites (Enable the emergency treatment to be given faster and more correct) Food • Control geographical origin • Food production management • Nutrition calculations (Prevent overproduction and shortage Control food quality, health and safety.)
  • 7. Challenges and Issues  Society: People, security, privacy o A policy for people in the Internet of Things: o Legislation  Environmental aspects o Resource efficiency o Pollution and disaster avoidance  Technological o Architecture (edge devices, servers, discovery services, security, etc.) o Governance, naming, identity, interfaces o Service openness, interoperability o Connections of real and virtual world o Standards  Identity o Online Fragmentation of Identity  Efficiency o speed - person loses identity and is an IP address  Decisions o do not delegate too much of our decision making and freedom of choice to things and machines INTERNET OF THINGS
  • 8. References Web sites Wikipedia GSM Computer Desktop Encyclopedia Inf.unibz.it Linkedin Cisco. IBSG Fppt