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WIRELESS NETWORKING ARCHITECTURE 
FOR SMART GRID APPLICATIONS
CONTENTS 
• Introduction 
• Existing work 
• Challenges 
• Literature 
• Objective 
• Planned architecture 
• References
INTRODUCTION 
SMART GRID 
•A smart grid is an electricity network that can intelligently 
integrate the actions of all use connected to it – generators, 
consumers and those that do both in order to efficiently deliver 
sustainable economics and serve electricity supplies. 
•It uses sensing embedded processing and digital communications 
to enable the electricity grid to be 
 Observable (able to be measure and visualized) 
 Controllable (able to be manipulated and optimized) 
 Automated (able to adapt and self-heal) 
 Fully integrated (fully interoperable with existing systems and 
with the capacity to incorporate a divorce set of energy sources).
SMART GRID USING WSN
Different consumption areas
EXISTING COMMUNICATION 
NETWORK
Wireless Sensor Network 
• Communication via Zigbee protocol stack 
– IEEE 802.15.4 standard 
• Low power 
– Duty cycles 
• Low data rate 
– Data rates of 250 kbps, 100kbps, 40 kbps and 20 kbps 
• Zigbee utilizes three ISM bands 
– 2.4GHz ISM band worldwide , 915MHz band in North America, 868MHz 
band in Europe 
• Zigbee uses 16-bit and 64-bit addressing modes 
– 6lowpan for IP integration 
• Star, cluster-tree or mesh topologies
CHALLENGES 
• Complexity 
• Efficiency 
1) Better Telemetry 
2) Faster Controls 
3) More Robust Controls 
4) Embedded Intelligent Device Communications 
5) Integrated Communications 
6) Enhanced Computing Capabilities 
7)security 
• Reliability 
• Enhanced Computing Capabilities
LITERATURE 
WIRELESS SENSOR NETWORK 
VS 
WIRELESS RELAY NETWORK 
By introducing wireless relay network, 
• Brings down the number of sensors in network. 
• Reduced Power consumption. 
• Node failures can be identified easily. 
• Data of desired lane or avenue can be easily accessed. 
• Low installation cost.
OBJECTIVE 
The objective of this project is to accomplish a wireless relay in 
communication between sensor and control area network and 
finding reliable link, when next hope node fails in 
communicating.
Architecture 
Control Area 
Network 
Main Relay 
Sub-Relay 
(1) 
Lane(1) 
Sub-Relay 
(2) 
Lane(2) 
Sub-Relay 
(3) 
Lane(3)
REFERENCES : 
1. Hossam M. H. Shalaby.” Performance Analysis of SAC-OCDMA SystemsAdopting Overlapping PPM 
Schemes, “IEEE Trans.Commun., vol. 31, no. 12, June 2013. 
2. Naser G. Tarhuni, “Multiclass Optical Orthogonal Codes for Multiservice Optical CDMA Networks,” 
IEEE Trans.Commun., vol. 24, no. 2, Feb 2006 
3. H. M. H. Shalaby, “A Performance Analysis of Optical Overlapping PPM-CDMA Communication 
Systems,” J. Lightw. Technol., vol. 17, no. 3, pp. 426–433, Mar. 1999. 
4. G -C. Yang, “Variable-Weight Optical Orthogonal Codes for CDMA Network with Multiple 
Performance Requirements,” IEEE Trans. Commun., vol. 44, no. 1, pp. 47–55, Jan. 1996 
5. H. M. H. Shalaby, “Performance analysis of optical synchronous CDMA 
communication systems with PPM signaling,” IEEE Trans. Commun., 
vol. 43, pp. 624–634, Feb-Apr. 1995. 
6. J. A. Salehi and C. A. Brackett, “Code Division Multiple-Access Techniques in Optical Fiber Network— 
Part I: Fundamental Principles,” IEEE Trans. Commun., vol. 37, no. 8, pp. 824–833, Aug. 1989. 
7. J. A. Salehi, “Code Division Multiple-Access Techniques in Optical Fiber Network—Part II: Systems 
Performance Analysis,” IEEE Trans. Commun., vol. 37, no. 8, pp. 834–842, Aug. 1989.

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SMART GRID USING WSN

  • 1. WIRELESS NETWORKING ARCHITECTURE FOR SMART GRID APPLICATIONS
  • 2. CONTENTS • Introduction • Existing work • Challenges • Literature • Objective • Planned architecture • References
  • 3. INTRODUCTION SMART GRID •A smart grid is an electricity network that can intelligently integrate the actions of all use connected to it – generators, consumers and those that do both in order to efficiently deliver sustainable economics and serve electricity supplies. •It uses sensing embedded processing and digital communications to enable the electricity grid to be  Observable (able to be measure and visualized)  Controllable (able to be manipulated and optimized)  Automated (able to adapt and self-heal)  Fully integrated (fully interoperable with existing systems and with the capacity to incorporate a divorce set of energy sources).
  • 7. Wireless Sensor Network • Communication via Zigbee protocol stack – IEEE 802.15.4 standard • Low power – Duty cycles • Low data rate – Data rates of 250 kbps, 100kbps, 40 kbps and 20 kbps • Zigbee utilizes three ISM bands – 2.4GHz ISM band worldwide , 915MHz band in North America, 868MHz band in Europe • Zigbee uses 16-bit and 64-bit addressing modes – 6lowpan for IP integration • Star, cluster-tree or mesh topologies
  • 8. CHALLENGES • Complexity • Efficiency 1) Better Telemetry 2) Faster Controls 3) More Robust Controls 4) Embedded Intelligent Device Communications 5) Integrated Communications 6) Enhanced Computing Capabilities 7)security • Reliability • Enhanced Computing Capabilities
  • 9. LITERATURE WIRELESS SENSOR NETWORK VS WIRELESS RELAY NETWORK By introducing wireless relay network, • Brings down the number of sensors in network. • Reduced Power consumption. • Node failures can be identified easily. • Data of desired lane or avenue can be easily accessed. • Low installation cost.
  • 10. OBJECTIVE The objective of this project is to accomplish a wireless relay in communication between sensor and control area network and finding reliable link, when next hope node fails in communicating.
  • 11. Architecture Control Area Network Main Relay Sub-Relay (1) Lane(1) Sub-Relay (2) Lane(2) Sub-Relay (3) Lane(3)
  • 12. REFERENCES : 1. Hossam M. H. Shalaby.” Performance Analysis of SAC-OCDMA SystemsAdopting Overlapping PPM Schemes, “IEEE Trans.Commun., vol. 31, no. 12, June 2013. 2. Naser G. Tarhuni, “Multiclass Optical Orthogonal Codes for Multiservice Optical CDMA Networks,” IEEE Trans.Commun., vol. 24, no. 2, Feb 2006 3. H. M. H. Shalaby, “A Performance Analysis of Optical Overlapping PPM-CDMA Communication Systems,” J. Lightw. Technol., vol. 17, no. 3, pp. 426–433, Mar. 1999. 4. G -C. Yang, “Variable-Weight Optical Orthogonal Codes for CDMA Network with Multiple Performance Requirements,” IEEE Trans. Commun., vol. 44, no. 1, pp. 47–55, Jan. 1996 5. H. M. H. Shalaby, “Performance analysis of optical synchronous CDMA communication systems with PPM signaling,” IEEE Trans. Commun., vol. 43, pp. 624–634, Feb-Apr. 1995. 6. J. A. Salehi and C. A. Brackett, “Code Division Multiple-Access Techniques in Optical Fiber Network— Part I: Fundamental Principles,” IEEE Trans. Commun., vol. 37, no. 8, pp. 824–833, Aug. 1989. 7. J. A. Salehi, “Code Division Multiple-Access Techniques in Optical Fiber Network—Part II: Systems Performance Analysis,” IEEE Trans. Commun., vol. 37, no. 8, pp. 834–842, Aug. 1989.