p wireless mesh networks for i t s grid applications
TRANSCRIPT
PLANNING WIRELESS MESH NETWORKS FOR
IOT SMART GRID APPLICATIONS
› CELFINET © 2015 NEW SOLUTIONS 1
HUGO CAFÉ
ANDRÉ MARTINS
PEDRO VIEIRA
ANTÓNIO RODRIGUES
INTRODUCTION
AIM OF THE STUDY
RF MESH SYSTEM FOR SMART METERING - OVERVIEW
SIMULATOR ANALYSIS
RESULTS & ANALYSIS – CASE STUDY “BRAZIL”
CONCLUSIONS AND FUTURE WORK
03
04
05
06
09
12
› CELFINET © 2015 NEW SOLUTIONS 2
INTRODUCTION
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• THE ENERGY SYSTEMS ARE NOT EFFICIENT
• THE SOLUTION: SMART GRIDS
MONITOR THE ENERGY CONSUMPTIONS
AIM OF THE STUDY
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Source: “Optimal Positioning of
GPRS Concentrators in Smart
Grids Considering Routing in
Mesh Networks”
• DEVELOPMENT AND OPTIMIZE A NEIGHBORHOOD AREA NETWORK TO MONITOR
ENERGY CONSUMPTION.
• MULTIPLE-HOPS “MESH” NETWORK WHICH ENSURES THE CONNECTION BETWEEN
THE SMART METERS AND THE CONCENTRATORS.
RF MESH SYSTEM FOR
SMART METERING - OVERVIEW
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• IEEE 802.15.4 (ZIGBEE)
• SMART METER DATA RATE: 9.6
KBPS
• CONCENTRATOR DATA RATE: 9.6
KBPS OR 19.2 KBPS
• THE UNLICENSED INDUSTRIAL,
SCIENTIFIC AND MEDICAL (ISM)
BAND OF 902-928 MHZ
• 240 DISCRETE CHANNELS (100 KHZ
BANDWIDTH)
• FREQUENCY HOPPING SPREAD
SPECTRUM
• SYNCHRONOUS ALOHA WITH 0.7 S
TIME SLOTS
• FSK MODULATION IN THE
ALLOTTED TIME SLOT
• NETWORK TIME PROTOCOL
Source: Landys + Gyr
SIMULATOR ANALYSIS (1/3)
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PROPAGATION MODEL
𝐿𝑜𝑢𝑡 = 42.6 + 20 log 𝑓 𝐺𝐻𝑧 + 26 log(𝑆[𝑘𝑚] [dB]
𝐿𝑖𝑛 = 𝛼𝑑 [dB]
𝐿𝑡𝑤 = 𝑊𝑒 + 𝑊𝐺𝑒 1 − sin 𝜃 2 [𝑑𝐵]
𝐿𝑡𝑜𝑡 = 𝐿𝑜𝑢𝑡 + 𝐿𝑡𝑤 + 𝐿𝑖𝑛 [𝑑𝐵]
• 𝑓=928 MHz
• 𝛼=0.2 dB/m
• 𝑑 = 2 m• 𝑊𝑒 = 12 dB• 𝑊𝐺𝑒 = 25 dB• 𝜃 = 30𝑜
Source:“Performance Analysis of Radio Propagation Models for Smart Grid Applications”
SIMULATOR ANALYSIS (2/3)
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CONSTRAINTS
3rd
order
3rd order
2nd order
1st
order
1st
order
1st
order
1st
order
1st
order
1st
order
1st
order
2nd order
4th order
5th
order
TRANSMITTER POWER
𝑃𝑡−𝑆𝑀 = 26 𝑑𝐵𝑃𝑡−𝐶 = 30 𝑑𝐵
SENSITIVITY
𝑃𝑟−𝑆𝑀 = −108 𝑑𝐵𝑃𝑟−𝐶 = −105 𝑑𝐵
• MAXIMUM DISTANCE
BETWEEN SMART METERS –
340 M
• MAXIMUM DISTANCE
BETWEEN SMART METER AND
CONCENTRATOR – 1,830 M
• P = 512 BYTE PACKET
• T = 15 MINUTES
• 𝜆=4.55 |𝑀| (𝑏𝑖𝑡/𝑠𝑒𝑐)
TRAFFIC CHARACTERIZATION
• 𝑀 𝜆𝑚−𝑑𝑜𝑤𝑛 = 19200 𝑀 =
4219.78 𝐿 = 4219
• 𝜀𝑖 𝜆𝑚−𝑑𝑜𝑤𝑛 + 𝜆𝑚−𝑢𝑝 +𝜆𝑚−𝑢𝑝 = 9600 𝜀𝑖 =
1054.44 𝐹 =1054
• 240 DISCRETE CHANNELS
SIMULATOR ANALYSIS (3/3)
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Build |C| mesh networks
considering R constraint
Determine all the assumptions
with NA concentrators
Mesh network considering NA
concentrators
Metrics
1. Minimum number of hops
2. Minimum distance between
smart meters
Reach
QP?
Verify the
constraints?
Y
N
YN
• NUMBER OF
CONCENTRATORS
• POSITIONS OF
CONCENTRATORS
• CLUSTERS
• SMART METERS POSITIONS
• CONCENTRATORS POSSIBLE
POSITIONS
• MAXIMUM DELAY
𝑑𝑖𝑗 = 𝜏
𝑘=0
𝑅−1
𝑁𝑘 7 = 0.7 𝑅 𝑅 = 10
𝑄𝑃 =𝑐𝑜𝑛𝑛𝑒𝑐𝑡𝑒𝑑 𝑠𝑚𝑎𝑟𝑡 𝑚𝑒𝑡𝑒𝑟𝑠
𝑡𝑜𝑡𝑎𝑙 𝑠𝑚𝑎𝑟𝑡 𝑚𝑒𝑡𝑒𝑟𝑠= 0,99
INPUTS ALGORITHM OUTPUTS
NA= NA+1
RESULTS & ANALYSIS –
CASE STUDY “BRAZIL” (1/3)
9› CELFINET © 2015 NEW SOLUTIONS
• LOCATION: SÃO PAULO,
BRAZIL
• NUMBER OF SMART
METERS – 1774
• NUMBER OF
CONCENTRATOR POSSIBLE
POSITIONS - 70
RESULTS & ANALYSIS –
CASE STUDY “BRAZIL” (2/3)
10› CELFINET © 2015 NEW SOLUTIONS
• CONCENTRATORS ARE
TYPICALLY MOUNTED
STRATEGICALLY ON
POLE TOPS OR ON
LAMP POSTS
• GOOGLE EARTH
STREET VIEW MODE
RESULTS & ANALYSIS –
CASE STUDY “BRAZIL” (3/3)
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CONCLUSIONS AND FUTURE WORK
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• EMERGING NEED TO MODERNIZE THE MONITORING OF ENERGY CONSUMPTION
• AVOID ENERGY WASTAGE
• IMPROVE COSTUMER EXPERIENCE
• LOWER GREENHOUSE GAS EMISSION
• DEVELOPMENT OF A REALISTIC SIMULADOR FOR ENERGY MONITORING USING
WIRELESS MESH NETWORKS
• THE SIMULADOR CONSIDERS THE DEVICES CONSTRAINTS AND THE PROPAGATION
MODEL PARAMETERS
• NEW MASTER THESIS ABOUT IOT (SIGFOX, LTE-MTC, WIRELESS SENSOR
NETWORKS, …)
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