Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Nilesh bimani mtech-cse
1. LOGO
Internet of Things
NAME: NILESH BHIMANI
Email: bhimaninilesh16@gmail.com
Twitter Id:bhimani_p
University:SRM university-chennai
Year/Semester::2015/4th
Branch:CSE
2. Introduction of IOT
(1)The Internet of Things (IoT) is the network of physical
objects or "things" embedded with electronics, software,
sensors and connectivity to enable it to achieve greater
value and service by exchanging data with the
manufacturer, operator and/or other connected devices.
Each thing is uniquely identifiable through its embedded
computing system but is able to interoperate within the
existing Internet infrastructure.
(2) By embedding short-range mobile transceivers into a
wide array of additional gadgets and everyday items,
enabling new forms of communication between people
and things, and between things themselves.
3. Introduction of IOT
Definition
(3) The term "Internet of Things" has come to
describe a number of technologies and research
disciplines that enable the Internet to reach out into
the real world of physical objects.
(4) “Things having identities and virtual personalities
operating in smart spaces using intelligent interfaces
to connect and communicate within social,
environmental, and user contexts”.
4. Trends of IOT
1)Security & privacy: Trust and authentication become critical across all elements of
the IoT, including devices, the networks, the cloud and software apps.
2. Standards: Competing proprietary and open source standards efforts have
continued to struggle to come together for common good, but perhaps we will see
breakthroughs in 2015.
3. Hardware: Advanced microcontrollers, systems on chips, and sensor
technologies are enabling new types of IoT devices. These devices are also getting
smaller, smarter and cheaper.
4. Software: A huge rush of activity is expected as developers increase their focus
on developing IoT platforms and solutions that upload data from sensors and perform
the analytics necessary to deliver the insights required for business decisions.
5. Edge analytics: Increasingly, analytics capabilities will be pushed to the edge of
networks. Advanced analytics and dashboards will be needed to provide insights from
all the “things.”
6. Machine-to-machine (M2M) automation: In the future, sensors, devices and
whole IoT systems will be talking to each other, providing insights and making
decisions without human intervention.
5. Trends of IOT
7. Platform-to-platform integration: Expect movement from closed platforms
toward open IoT platforms that support multiple applications, devices, and networks.
8. Wearables: This is a key sub segment within the overall IoT market. Watch
developments in systems on chips, sensor hubs, sensor fusion, low-power wireless
connectivity, battery life and specialized software development platforms to support
wearables.
9. Sensor fusion: Combining data from different sources can improve accuracy.
Data from two sensors is better than data from one. Data from lots of sensors is
even better.
10. Sensor hubs: Developers will increasingly experiment with sensor hubs for IoT
devices, which will be used to offload tasks from the application processor, cutting
down on power consumption and improving battery life in the devices.
11. Big data: “Things” (sensors, chips, computers) will produce even more data
than we have now, taxing our already complex enterprise information management
systems.
6. Interest Areas
INTEREST AREA:
Mobile platforms & integration with IoT technologies
Smartphone & IoT integration – local
Mobile to IoT-Support collecting & controlling IoT devices without cloud API
interaction .For example: Energy efficiency applications
Mobile to Mobile-user context [applications, locations, device].
Smartphone & IoT integration - cloud
Store & access IoT networks data -Build & access smart services
INTERNSHIP WORK:
In this internship I am doing research on above interested area and work
on this area and implementation done on how we integrate IOT to Cloud with
using mobile technology.
Intent to work on each of the smart application on SDKs and OS support for
local interactions that application directly connected to IOT embedded
Devices.
I have to implement smartphone as a sensor as well as router to connect
Digital & IOT .
IoT is expected to offer advanced connectivity of devices, systems, and services that goes beyond machine-to machine communication(M2M) and covers a variety of protocols, domains, and applications.
Things, in the IoT, can refer to a wide variety of devices such as heart monitoring implants, biochip transponders on farm animals, electric clams in coastal waters,automobiles with built-in sensors, or field operation devices that assist fire-fighters in search and rescue. These devices collect useful data with the help of various existing technologies and then autonomously flow the data between other devices.[Current market examples include smart thermostate systems and washer/dryers that utilize Wi-Fi for remote monitoring.
The semantic origin of the expression is composed by two words and concepts: “Internet” and “Thing”, where “Internet” can be defined as “The world-wide network of interconnected computer networks, based on a standard communication protocol, the Internet suite (TCP/IP)”, while “Thing” is “an object not precisely identifiable” Therefore, semantically, “Internet of Things” means “a world-wide network of interconnected objects uniquely addressable, based on standard.
Blockchain: Using blockchain technology, developers can set up a distributed model that doesn’t require trusting every node in the network.
Success stories: To move from hype to real mass adoption, vendors need to provide customer case studies that show best-of-breed implementations of IoT systems and prove the benefits that await enterprises.
Chief IoT Officer: Expect more senior level execs to be put in place to build the enterprise-wide IoT strategy.
Business processes transformation: IoT enables new automated sense-and-respond systems, disrupting traditional processes and requiring new skills.
Education needed: Demand will rise for education and skills training related to IoT systems, how to develop applications, implement them and what to do with the data collected.
Product design: Consumers and customers will increasingly expect products to come with embedded sensors that can connect to mobile devices and IoT systems.
Network bandwidth: As more devices come online, networks will clog and service providers will be in a never-ending battle to increase network capacity.
Vertical clouds: Aggregating all this big data and acting on its findings will best be achieved by capturing, analyzing and responding from the cloud. In 2015, expect specialized and vertical IoT cloud services.
Industry partnerships: Traditional IT vendors will accelerate their partnerships with global telecom service providers, semiconductor vendors, and vertical IoT platform providers.