compressive wireless sensing in internet of thing …...• 512kb flash ram • 2 aa batteries...
TRANSCRIPT
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Compressive Wireless Sensing in Internet of Thing:key technology and application
Zhi Wang Control Science and Engineering, Zhejiang University
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➢ DoA Estimation from compressed Wireless Array Data via Joint Sparse Representation
➢ IEEE Trans on Signal Processing (IEEE TSP),in second review
➢ Sparse Signal Transmission via Lossy Link Using Compressive Sensing
➢ Sensors, accept
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Wireless, Ad Hoc Sensor Network• Smart sensors
– Transducers – Power – On-board processor, storage – Wireless transceivers
• Ad hoc network – No predefined, fixed network
configuration – Transmit, receive, and relay
information • Wireless communication
– Radio, infrared, optical, and other modalities
• Vision – Smart environment:
• Monitoring • Control, interaction
– Large number of low cost sensor nodes deploy-n-play, self-configuration to form network, Collaborative in-situ information processing
• Applications – Environmental monitoring – Civil structure/earth quake
monitoring – Premises security – Machine instrument diagnosis – Health care
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Mica Sensor Node
Left: Mica II sensor node 2.0x1.5x0.5 cu. In. Right: weather board with temperature,
thermopile (passive IR), humidity, light, acclerometer sensors, connected to Mica II node
• Single channel, 916 Mhz radio for bi-directional radio @40kps
• 4MHz micro-controller • 512KB flash RAM • 2 AA batteries (~2.5Ah), DC
boost converter (maintain voltage)
• Sensors are pre-calibrated (±1-3%) and interchangeable
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Habitat and the Bird
Habitat to be monitored (up, yellow: microphone Red: camera) and the Leach’s storm petrel (right)
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DAWN Lab / UMBC 6
中国艺术概论
State Key Laboratory of Industrial Control Technology
The inside wall of drainpipe
Sensor nodes Pollution monitoring
Environmental monitoring
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Great Duck Island Monitoring Project
• Mission: – monitor the microclimates in
and around nesting burrows used by the Leach's Storm Petrel.
• Goal: – to develop a habitat
monitoring kit that enables researchers worldwide to engage in the non-intrusive and non-disruptive monitoring of sensitive wildlife and habitats
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DAWN Lab / UMBC 8
中国艺术概论
Military Surveillance
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DAWN Lab / UMBC 9
中国艺术概论
Structural Monitoring15
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Mote Layout
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DAWN Lab / UMBC 10
中国艺术概论
Other Applications
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DAWN Lab / UMBC 11
中国艺术概论
Other Applications
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•Existing problems
Resource-constrained WSNs (IOT) Constrained Power Constrained Computation Capability
Low power wireless communication systems in WSNs Larger volume data to transmit(Nyquist Sampling) Unreliable communication due to lossy link
Waste and un-proper utilization of WSN •Error correction (Channel coding and ARQ) relies on Sender •Communication bandwidth waste due to no use of lossy link
Distance between sender and receiver (P8)
PRR
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•Introduction of compressed sensing
pixels large wavelet coefficients
acoustic signalsamples
large Fouriercoefficients
Many signals can be compressed in some basis (Fourier .etc.)
Part1—Background and Motivation
Ubiquity of sparse signal in WSNs
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Distance between sender and receiver
PRR
Original signal — Time domain
sparse signal — Frequency domain
Process
Sparse Signal Transmission
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•Compressive sensing fundamentalsSparsity representation
Projection matrix construction
Reconstruction algorithm
,
,
Data is local, measurements are global!
Part1—Background and Motivation
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Existing problems and opportunity
Resource-constrained WSNs •Constrained Power •Constrained Computation
CS-based wireless communication systems in WSNs •Smaller volume data (Compressive Sampling) •Efficient use of lossy link without expensive • channel coding and ARQ •Avoid High cost of high speed sample •Shift the burden to Receiver
Distance between sender and receiver
Efficient use of lossy link Expand communication range
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•Existing problemsResource-constrained WSNs •Constrained Power •Constrained Computation capability
CS-based wireless communication systems in WSNs •Smaller volume data (Compressive Sampling) •Efficient use of lossy link without expensive channel coding and ARQ •High cost of high speed sample •Shift the burden to Receiver
Part1—Background and Motivation
Promote Efficiency、lifetime of resource-constrained IoT
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Distance between sender and receiver
PRR
Dimension reductionRandom data loss
Randomcompressive sampling
Sparse Signal Transmission
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●Easy-to-implement projection matrix
is the row of projection matrix , also the received packet sequence number . is the original sequence number in
Randomcompressive sampling
Sparse Signal Transmission
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●Easy-to-implement projection matrix
is the row of projection matrix , also the received packet sequence number. is the original sequence number in
Randomcompressive sampling
Partial Fourier Basis
Sparse Signal Transmission
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●CS effect on wireless link
◆ Expand communication range
Original signal
Reconstructed signal
Reconstruction error
denotes the application’s need for signal recovery error
Sparse Signal Transmission
Information acquisition rate
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Experimental parameter and results
03570
105140
0.65 0.38 0.1
CS3 trans
PRR CS/M CS/Error(%) 3 trans/M 3 trans/Error(%)
0.1 60 14.83 161 137.35
0.38 228 13.7 455 35.72
0.65 392 8.35 569 14.26
Error
PRR
●CS effect on sparse signal transmission
Sparse Signal Transmission
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tradeoffLonger packet
overhead
Shorter packet
error rate
Data packet structure of IEEE 802.15.4
Packet length control is an easy-implement and efficient method to promote communication performance.
Packet length control
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Packet length control
Lettieri P, Srivastava M B, Adaptive frame length control for improving wireless link throughput, range, and energy efficiency, Seventeenth Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM'98), pp.564-571, 1998.
Data packet structure of IEEE 802.15.4
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Packet length control under traditional method
Data transmission efficiency vs payload length under varying BER25
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Packet length control under CS
How to measure signal transmission efficiency?
Data transmission efficiency
Signal transmission efficiency ?
where reconstructed signaloriginal signal
error
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Packet length control under CSPacket length vs recovery error vs mutual coherence
which represents the worst case coherence between any two columns (atoms) of equivalent matrix
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Packet length effect on mutual coherenceM
utua
l coh
eren
ce
M/N (PRR)
Packet length
M/N
Mutual coherence
Packet length effect on mutual coherence28
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Packet length
M/N
Mutual coherence
Packet length effect on mutual coherence29
Packet length effect on mutual coherence
p12
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Packet length effect (BER) on mutual coherence
Packet length BER
PRR
where
Mut
ual c
oher
ence
Bit error rate (BER)
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Packet length control
Performance improvement
Larger packet length leads to Larger bursty packet loss and Larger mutual coherence
Shorter packet length leads to random packet loss and smaller mutual coherence
How to eliminate packet length effect to use larger length to gain efficiency
?Larger packet length leads to under relative good wireless situation High transmission efficiency
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Performance improvement
Data interleavingTransmits data bits in a different order than the order in which the data bits are originally transmitted
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Performance improvement through data interleaving
Mut
ual c
oher
ence
M/N
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Interleaving length effect
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Simulation ResultsPerformance comparison(data efficiency and IAR)Varying Error threshold Varying BER
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Interleaving improvement
Varying Error threshold BER=0.005
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Performance comparison (varying application/sparsity)
Varying Error threshold Varying sparsity
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Performance PromotionBroaden Communication range
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Packet length effect and interleaving improvement
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WSAN DoA Estimation from compressed Array Data via Joint Sparse Representation
Part2
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Motivation - Target monitoring on sensor array
Border warningGunfire positioning
Low latitude detection City monitoring
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Motivation - Bottleneck for wireless sensor array
– Challenged on Wireless PlatformData Transmission
Local computation capacity
Power Consumption
Cost
➢ Wireless sensor network can support long time monitoring with no more than 1000 Hz sampling rate for IEEE 802.15.4 protocol
➢ The development of the battery capacity is limited
➢ Local computation capacity is limited under power constraint
➢ Implementation for large number of sensor is not affordable 42
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• A Compressive Sensing based array sensor network for target monitoring
– Compressed Sampling is introduced – Fusion center with strong computational capacity
Motivation - Solution to challenges
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Background: Sparse representation • Spectrum sparsity for time domain signal
Automobile engine Heavy vehicle
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Backgrounds: Compressive Sensing• Efficient implementation of CS in sensor node
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Backgrounds: Array processingArray Signal Model & Processing
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Backgrounds: Sparse representation • Sparse representation in angle domain
Only small number of active sources in the angle domain47
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Sparsity based array processingPartition the bearing angle space (say, 0 to 180) into L bins:
Backgrounds: Array processing
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Compressed sampling /data compression
Array processing
Signal recovery/data decompression Localization
Compressed sampling DoA reconstruction Localization
Combination of CS and array processing
Framework
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Problem Formulation:Joint Compressive SensingCombining all J sensor measurements at the fusion center, one may write:
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Problem Formulation: Joint Array ProcessingDividing the frequency band into N narrow-band, non-overlapping frequency bins, one may derive a joint sparse representation of the sensor measurements as
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?
Problem Formulation:
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Reconstruction Analysis Mutual coherence analysis for array manifold matrix:
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CRB analysis
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CRB analysis
CRB of traditional wideband array processing:
CRB of CSJSR:
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Simulation & Experiment
L1-SVD: broadband version of L1-SVD DoA estimator COBE : Compressive Bearing Estimation with Reference Sensor CSJSR-DoA: Compressive Sensing based Direct DoA estimation CSA-DoA: Compressive Sensing array DoA estimation
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DoA reconstruction under different data reduction level
Simulation & Experiment
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DoA comparison under same data volume:
Simulation & Experiment
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Simulation & Experiment
Angular separation comparison
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Simulation & Experiment
• CRB analysis under different J,M and SNR
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Simulation & Experiment • CRB VS simulation results under different
measurement number
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Simulation & Experiment
System overview
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System implementation
Simulation & Experiment
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Simulation & Experiment
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THE END THANK
YOU!66