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1. MOOC on Academic Writing
Subjective Assignment 2
Application No- a49137d1e6b111e983bdc799963d9c82
Dr. Poornima G
Course Name-Academic Writing(UGC19 GE03)
Affiliation-BMS College of Engineering, Bangalore
Email Id-gpoornima.ece@bmsce.ac.in
2. Acknowledgement
I would like express my thanks to all people involved in
creating the swayam platform and also my sincere gratitude
to the course coordinators of Academic Writing for
contributing their learning in Nation knowledge Building.
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3. B.M.S. COLLEGE OF ENGINEERING, BENGALURU
Towards A Smart City of Interdependent
Critical Infrastructure Networks
Presenter
DR Poornima G
Associate Professor, Dept of ECE
4. Smart City for Sustainable Future
Infrastructure for smart city
Available on demand
Reliable to operate
Resilient to failure
Robust to attacks
Scalable to support changing needs and population demographics.
Logically independent but functionally interdependent on each other.
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6. IoT IoE
• Policy Making
• Human Behavior
• Decision Making
• Social Analytics
Power Grid
Transportation
Waterway
Communication and Analytics
Oil and gas
Consumer Services
Emergency Services(Health Care and Fire)
Societal Management Services
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7. Smart Load
Energy must be available in reserve or on demand
Electric Vehicles trade energy via
Grid to Vehicle
Vehicle to Grid
Vehicle to Vehicle
Resilient and pervasive communication infrastructure coupled with high speed distributed data analytics.
Command and control center conducts traffic optimization and congestion control
Monitors for real time situation using powerful visualization and cloud analytics.
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8. SMART CITY
ENVIRNOMENT
DATA
ANALYTICS
ENERGY
TRANSPORTATION
COMMUNICATION
To Ensure Sustainable Network
Constantly Optimized
Secured
Reliable and flexible to changing needs
Harness Renewable Energy Sources
Distributed Control
Dispatch and commit the generation units
Manage and route traffic
Schedule and Manage processing tasks at
data centers
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9. Intelligent Communication
Advanced Metering Infrastructure-Electric and water
Wide Area Monitoring, Protection, Automation and Control
Traffic control and management systems
Smart Inverters and Weather stations
Intelligent Electronic Devices for protection and control
Forms of Communication
Machine to Machine
Machine to Human
Machine to Software
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10. Communication Protocols
Wireless Communication
1. LTE-U-Long Range communication
2. WiFi-Short Range Communication
3. ZigBee- Low Power Communication
Wired Communication
1. Power Line Communication(PLC)
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11. Communication Protocols
Short Range
• Wi-Fi
• ZigBee
• Smart home building
Medium Range
• DSRC
• V2V
Long Range
• LTE-U
• NBIoT
• Meter to Meter or
Meter to AP
• Monitoring and Data
collection
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12. • LTE-U – Predominantly used for personal mobile communication
-Smart Phone, laptops, tablets, Smart health monitoring sensors along
diverse sensor networks are connected to internet through LTE.
-LTE utilizes licensed spectrum for guaranteed quality of service.
-Proper spectrum sharing technique is required for fair neighbor
sharing of spectrum.
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Communication Protocols
13. • Wi-Fi -Short range communication standard manifested as wireless local
area network.
- Operate in unlicensed band like 2.4GHz to 5GHz
- Yields throughput of up to 1GBps
- Provides internet and IOT connectivity for smart devices
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Communication Protocols
14. • ZigBee – Most feasible to meet low power and data rate requirements of
smart city
- Maximum throughput is 250KBps
- Range is 90mts
- Advanced metering infrastructure of smart cities utilize ZigBee to
relay consumption data from meter to meter and finally to data
concentrator
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Communication Protocols
15. • DSRC – Medium range protocol designed for V2V communication uses 5.9Ghz
band with bandwidth of 75MHz
- Typical range of DSRC is 100mts
- Communication latency should be around 1ms with a reliability of
99.99%
- Ensures autonomous driving, collision avoidance, proper platooning of
vehicles, optimization of traffic signals
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Communication Protocols
16. • NBIoT– Low Power WAN designed for large number of devices distributed
across a geographical location
- Uses communication resources of LTE builds an IoT network for its
supporting devices and can use the dedicated unused resources of LTE
- Supports long range communication and does not require to connect
base station each time
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Communication Protocols
17. Open Research Challenges
Spectrum - 900MHz, 2.4Ghz, 3.5GHz and 5GHz (unlicensed band )
-Bands are free for any application.
-Protocols use the same band
-Cause interference and reduce quality
Coverage – Node/device is a coverage issue Over larger territory
- Short range communication can support up to range of 100mts
-Repeaters and amplifiers are required for higher range
-Propagation delay and corruption of packets is prominent while relaying
-Use of long range communication increases cost of installation and
maintenance
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18. Open Research Challenges
Node Density - Density Aware Network design for IOT considering worst
case scenario
Heterogeneous Network - In unlicensed band, diverse technology will
co-existed for operation
- For example: Coexisted operation of LTE-U and Wi-Fi
if done in proper way will cause one protocol to
degrade the performance of the other
Security – Resilient communication along with added security mechanism
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19. Decentralized Data Processing
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Edge & IOT
Fog for Low Latency
Analytics
Bidirectional
Communication
Cloud for High
Latency Analytics
20. Fog Architecture
Key Interdependent characteristics
Reliability: Dynamic Resource allocation and deallocation, parallel computing
Hierarchical Structure: Layered Approach to process data
Resilience: To takeover a compromised, failed or overloaded fog node
Dynamism and heterogeneity: Viable option to ever-changing customer needs
Partitioning: Cloud inclusive
Interoperability, automation and autonomy: SDN, MQTT and CoAP
Latency and Bandwidth: Bandwidth Aware and Mission Critical
Security and Privacy: Root of Trust
Agility: Context Aware Aanalytics
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21. Smart Energy Design
Maintaining Real time Situation Awareness using synchrophasor
devices.
Guaranteeing more power and choice to end customer.
Addressing dynamic demands using secondary generation and high
speed optimization.
Prosumer Driven.
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22. Open Research Challenges
Lack of Standardization: Smart grid big data management
Optimality of Computation: unit commitment, optimal power flow, demand forecasting
weather estimation load shedding
Cyber Physical Security: Lack of efficient Situation Awareness
Scalability: Handle data of different sizes, types and speeds
Privacy Concerns: Block chain
Social Aspect
Policymaking and Enforcement
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23. Smart Transportation
EV’s are the key elements for electrification of transportation systems.
Mobile source of energy
Establish bidirectional power connection with power grid, residential and commercial building
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As of January 2018, the world's two best selling all-electric cars in history are the Nissan Leaf (left), with 300,000 in global
sales [20] and the Tesla Model S(right), with over 200,000 in global sales.[21]
24. Open Research Challenges
Interoperability: G2V,V2G,V2I,V2H and V2V
Communication: Two Way Communication
Foreign Object Detection: Detect presence of metallic and living objects in charging area.
Dynamic inductive EV charging system should be highly optimized for
power transfer efficiency, cost efficiency and Vehicle misalignment
tolerance with EMF emission considerations.
Implementation cost of Dynamic IPT System
Economic Allocation of EV Charging Stations
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25. • Cobb, Jeff (2018-01-22). "Tesla Quietly Sold 200000th Model S Last Year". HybridCars.com.
Retrieved 2018-09-02.
• Jeff Cobb (2015-12-08). "Plug-in Pioneers: Nissan Leaf and Chevy Volt Turn Five Years
Old". HybriCars.com. Retrieved 2015-12-09.
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References