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