The document discusses wireless sensor networks (WSN) and their role in the Internet of Things (IoT), highlighting how WSN enables real-time monitoring of various physical and environmental conditions through distributed autonomous devices. It explores cloud integration for managing large data streams generated by IoT devices and details various applications across sectors such as agriculture, transport, and smart cities. Additionally, it lists vendors for IoT technologies and platforms catering to both educational and commercial purposes.

1. Group members
S Abu Owais Bin Nasar: CT-047
Fahad Hussain: CT-062

2. Wireless Sensor Networks?
“A wireless sensor network (WSN) is a wireless network
consisting of spatially distributed autonomous devices using
sensors to monitor physical or environmental conditions.”
• WSN makes possible to connect every Thing to Internet.
• A WSN system incorporates a gateway that provides wireless connectivity back to
the wired world and distributed nodes.
• The wireless protocol may based any of available IEEE standards (i.e wifi or 2.4
GH Radios) or may proprietory.
• They can be embeded or integrated into daily use device to make them more
smart.
• They work in star, cluster tree and mesh topology depending on application
requirement.
• They can even used for actuation purpose an even can be programmed
wirelessly.

3. So, What is the idea in cloud?
• The massive data generated by these internet of things is channeled to
cloud.
• Only cloud makes possible the storage of this huge amount of streaming
from these devices.
• real-time analytics can be applied or the generated data.
• AI and Machine learning services can be utilized from cloud when decision
are needed to be taken based on data collected.
• Infrastructure can be easily even automatically scaled according to
requirements.
• You has just to pay for what you have used.

4. Application of IoT in cloud
1. Smart Parking
2. Structural health
3. Noise Urban Maps
4. Smartphone Detection
5. Eletromagnetic Field Levels
6. Traffic Congestion
7. Smart Lighting
8. Waste Management
9. Smart Roads
10.Forest Fire Detection
11.Air Pollution
12.Snow Level Monitoring
13.Landslide and Avalanche Prevention
14.Earthquake Early Detection
15.Potable water monitoring
16.Chemical leakage detection in rivers
17.Swimming pool remote measurement
18.Pollution levels in the sea
19.River Floods
20.Smart Grid
21.Radiation Levels
22.Explosive and Hazardous
Gases
23.Supply Chain Control
24.NFC Payment
25.Intelligent Shopping
Applications
26.Item Location
27.Vehicle Auto-diagnosis
28.Ozone Presence
29.Meteorological Station
Network
30.Green Houses
31.Golf Courses
32.Animal Tracking
33.Hydroponics
34.Patients Surveillance
35.Fall Detection
36.Intrusion Detection Systems

5. Case Study:
IoT in Agriculture
How one farmer slashed water consumption by
75% at connected avocado farm
He divided his farm into 22 irrigation
blocks and inserted two soil moisture
measurement units into each block. All
soil moisture data is collected from the
avocado trees into a cloud, and when a
tree needs to be watered, the solution
turns the sprinklers on automatically.

6. Case Study:
IoT in transport
A Smoother Ride on the Austrian Autobahn
By connecting thousands of sensors to an extensive network, Austria's
autobahn corporation, ASFINAG, has created a smart highway
designed to clear traffic jams before they happen. Through the
Internet of Everything, ASFINAG gets the data needed to keep roads
safe and drivers happy.
Barcelona’s heavy traffic and its associated high levels of pollution
were the primary factors that motivated some companies and
universities to work on strategies for improving traffic in the city centre.
Bitcarrier is one of the technologies involved in the In4Mo Project,
whose main objective is to develop the applications that form the core
of smart mobility, one of the fundamental pillars of the smart city
concept.
Barcelona the smart city

7. Concept Page Sport balls
• A basketball that keeps score. A football that measures pass
distance. A volleyball that counts serves, sets, and spikes. A soccer
ball that is also a coach. This is all possible with smart sport balls.

8. Remote training
• Embracing IoT technology, it’s not necessary for the
trainers to be on the field or soldiers to get trained by
fighting in the real-world battle. Shoot houses having
cameras, motion sensors, and acoustic sensors monitor
the soldiers during training exercises and send the
same data to the coaches who train the soldiers. Also,
the data sent is kept in the form of video and statistics
are represented to the troops to view their
performances.
• In addition to this simulated training with Multiple
Integrated Laser Engagement System (MILES) is also
possible where soldiers are provided blank cartridges
and lasers are mounted on the weapons. If laser signal
touches the sensors attached on soldier’s clothing and
equipment, then it is registered as a hit and a beeping
noise is heard indicating the soldier has been “killed.”

9. Wireless Sensors (IoT) vendors
IoT for educational purpose
1. Digikey (XBee)
2. Taxas instrumentation
3. National instrumentation
4. microchip
5. Node mcu (ESP 8266)
6. Raspberry pi
7. Arduino
IoT for commercial purpose
1. Libelium
2. EpiSensor
3. Tarts
4. Wovyn
5. Variable
6. Met One Instruments
7. Thingsee
8. InvenSense
9. Garmin (CHIRP)
10.WhizNets

10. Cloud vendors providing IoT
plateform
1. AMAZON WEB SERVICES IOT PLATFORM
2. MICROSOFT AZURE IOT HUB
3. IBM WATSON IOT PLATFORM
4. GOOGLE CLOUD PLATFORM
5. ORACLE
6. SALESFORCE
7. BOSCH
8. CISCO IOT CLOUD CONNECT
9. GENERAL ELECTRICS PREDIX
10. SAP

11. IoT platform market share

12. IoT platform market trend