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Frequency Agility in a ZigBee Network for Smart Grid Application - - PowerPoint PPT Presentation
Frequency Agility in a ZigBee Network for Smart Grid Application - - PowerPoint PPT Presentation
ILLINOIS INSTITUTE OF TECHNOLOGY Frequency Agility in a ZigBee Network for Smart Grid Application Peizhong Yi, Abiodun Iwayemi, Chi Zhou Optical Wireless Integration Lab Electrical and Computer Engineering Department Illinois Institute of
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Frequency Agility in a ZigBee Network for Smart Grid Application
- Peizhong Yi, Abiodun Iwayemi, Chi Zhou
Agenda
Motivation
- Objective
- Performance of ZigBee and WiFi Coexistence
- Interference Avoidance Scheme—Frequency Agility
- Test Result and Performance Evaluation
- Conclusion
- Future Work
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Frequency Agility in a ZigBee Network for Smart Grid Application
- Peizhong Yi, Abiodun Iwayemi, Chi Zhou
Smart Grid is an intelligent power generation, distribution and control system which seeks to maximize energy efficiency and foster greater adoption of renewable energy sources. IIT Perfect Power Project, a five-year project sponsored by DoE, aims to develop, demonstrate, promote, and commercialize a Perfect Power system that cannot fail to meet the electric needs of the individual end-user.
Motivation
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Frequency Agility in a ZigBee Network for Smart Grid Application
- Peizhong Yi, Abiodun Iwayemi, Chi Zhou
Motivation
ZigBee is the most suitable wireless technology to monitor, collect, and analyze data on energy usage in real time for smart grid application.
Low cost Low power Consumption Flexible and extendable Easy and inexpensive to deploy Global with use of unlicensed radio bands
Problem: IEEE 802.11 Wireless Local Area Networks
(WLAN) shares the same license-free 2.4GHz Industrial, Scientific and Medical (ISM) frequency band with ZigBee.
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Frequency Agility in a ZigBee Network for Smart Grid Application
- Peizhong Yi, Abiodun Iwayemi, Chi Zhou
Objective
Design an efficient interference avoidance scheme which is simple and practicable to ensure the performance of ZigBee with WiFi present require minimal adjustments to the existing IEEE 802.15.4 standard avoid a performance penalty Minimum the usage of system resources.
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Frequency Agility in a ZigBee Network for Smart Grid Application
- Peizhong Yi, Abiodun Iwayemi, Chi Zhou
Performance of ZigBee and WiFi Coexistence
Bit Error Rate (BER) and Packet Error Rate (PER) Assume signal transmission in an Additive White Gaussian Noise (AWGN) channel, with blind transmissions for both IEEE 802.15.4 and IEEE 802.11b
where path loss exponent n equals to 3.3 and d0 is 8 meter
10 10 10
4 20log ( ) , ( ) 4 20log ( ) 10 log ,
p
d d d L d d d n d d d π λ π λ ≤ = + >
( 2 ) BER Q SINR =
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Frequency Agility in a ZigBee Network for Smart Grid Application
- Peizhong Yi, Abiodun Iwayemi, Chi Zhou
Performance of ZigBee and WiFi Coexistence
Zigbee Packet ACK WLAN packet
A C K
TACK,Z UZ TCCA
WLAN packet
A C K
LW LW TACK,
W
UW TSIFS TDIFS TC TC TW LZ TSIFS TZ
WLAN packet
x
- Fig. 2. IEEE 802.11b and IEEE 802.15.4 Interference Model [2]
/ /
1 [(1 ) (1 ) ]
z c c
N T b T b I b b
PER P P
−
= − − × −
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Frequency Agility in a ZigBee Network for Smart Grid Application
- Peizhong Yi, Abiodun Iwayemi, Chi Zhou
Performance of ZigBee and WiFi Coexistence
1 2 3 4 5 6 7 10
- 5
10
- 4
10
- 3
10
- 2
10
- 1
10 BER 2MHz offset 3MHz offset 7MHz offset 8MHz offset Distance (m) 10
- 6
- Main interference power
concentrate in the WiFi central frequency which create heavy interference.
- Distance is other important
factor which can impact BER.
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Frequency Agility in a ZigBee Network for Smart Grid Application
- Peizhong Yi, Abiodun Iwayemi, Chi Zhou
Performance of ZigBee and WiFi Coexistence
1 2 3 4 5 6 7 10
- 5
10
- 4
10
- 3
10
- 2
10
- 1
10 D i st ance P E R P E R w i t h i nt er f er ance 2M H z of f set 3M H z of f set 7M H z of f set 8M H z of f set
- Offset frequency is 2MHz, the
PER is highest and the distance between the Zigbee and WIFi access point must be at least 7 meters.
- Offset frequency is 8MHz , the
interference from WiFi is negligible.
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Frequency Agility in a ZigBee Network for Smart Grid Application
- Peizhong Yi, Abiodun Iwayemi, Chi Zhou
Interference Avoidance Scheme Frequency Agility
- Interference
Detection Scheme
Send a Packet Start ACK received? NACK Counter = NACK Counter+1 NACK Counter >threshold NACK counter=0 Channel change Yes No No Yes ED on current channel NACK = 0 RSSI > threshold ? No Yes Done
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Frequency Agility in a ZigBee Network for Smart Grid Application
- Peizhong Yi, Abiodun Iwayemi, Chi Zhou
- Interference avoidance
Interference Avoidance Scheme Frequency Agility
2412 MHz 2400 MHz
Channel 1 Channel 6 Channel 11
22 MHz 2437 MHz 2462 MHz 2483.5 MHz
IEEE 802.11b North American Channel Selection
2410 2400 MHz
Channel
2 MHz 2435 2460 2483.5 MHz
IEEE 802.15.4 Channel Selection (2.4GHz PHY)
2405 2415 2425 2420 2430 2445 2440 2450 2470 2465 2475 2455 2480
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Frequency Agility in a ZigBee Network for Smart Grid Application
- Peizhong Yi, Abiodun Iwayemi, Chi Zhou
- Interference avoidance
ED on channel class i Find available channel? available channel i1,i2...ik m=1 i = i+1 No Yes Active scan channel im Channel
- ccupied?
No Yes Channel change Interference detected i=1 i>3 ? No Yes m = k? m = m+1 Yes No
Interference Avoidance Scheme Frequency Agility
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Frequency Agility in a ZigBee Network for Smart Grid Application
- Peizhong Yi, Abiodun Iwayemi, Chi Zhou
Test Result and Performance Evaluation
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Frequency Agility in a ZigBee Network for Smart Grid Application
- Peizhong Yi, Abiodun Iwayemi, Chi Zhou
Test Result and Performance Evaluation
- PER = (Number of failed messages / Number of
attempted measurements)*100
2 7 8 13 5 10 15 20 25 30 35 40 Experimental PER Offset Frequency (MHz) PER (%)
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Frequency Agility in a ZigBee Network for Smart Grid Application
- Peizhong Yi, Abiodun Iwayemi, Chi Zhou
Test Result and Performance Evaluation
- Link Quality Indicator (LQI): indicate the strength or
quality of received packet, PER decreases as LQI increases .
2 7 8 13 50 100 150 200 250 LQI Offset Frequency (MHz) LQI
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Frequency Agility in a ZigBee Network for Smart Grid Application
- Peizhong Yi, Abiodun Iwayemi, Chi Zhou
Conclusion
- Frequency Agility Interference Avoidance algorithm:
1. NACK-based interference detection 2. Energy Detection as an energy saving and accurate interference detection scheme 3. Classified channels’ energy detection in sequence 4. Active scan makes sure the channel is not occupied
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Frequency Agility in a ZigBee Network for Smart Grid Application
- Peizhong Yi, Abiodun Iwayemi, Chi Zhou
Future Work
- Interference avoidance algorithm will be implemented on real Zigbee board
and performance will be measured in real work, especially in cluster-tree topology in the presence of interference from multiple WLAN APs.
- Design and develop self-forming and self-healing cluster-tree ZigBee
systems
- Design and develop MAC Layer protocol to achieve energy-efficient access
for cluster-tree networks
- Develop a plan to install ZigBee routers in Siegel Hall and design energy-
efficient routing algorithm for communications among cluster heads and routers
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Frequency Agility in a ZigBee Network for Smart Grid Application
- Peizhong Yi, Abiodun Iwayemi, Chi Zhou