WSN Context Research Overview Cooperative techniques Summary Perspectives
MIMO Systemsand Energy Efficiency
of Wireless Sensor Networks
Olivier BERDER
ENSSAT, Universite de Rennes1INRIA/IRISA EPC CAIRN
December 10, 2012HDR Defense, Olivier Berder, 10/12/12 1 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Wireless Sensor Networks
Wide range of Wireless Sensor Network (WSN) applicationsHealth, buildings and agriculture monitoring, defense, etc2Be per year market until 2022
Set of smart radio nodes generating and relaying messages
Ad Hoc, fault tolerant networks
Low cost, low traffic and low power
HDR Defense, Olivier Berder, 10/12/12 2 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Which parts of a WSN node are energy consuming?
A WSN node is a typical embedded system
Classical power budgetRadio: 30-70 mW
Processor: 5-10 mW
HDR Defense, Olivier Berder, 10/12/12 3 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
How to design an energy efficient WSN platform?
1. Decrease Transmit PowerEfficient signal processingError detection and correction
2. Optimize radio activity
MAC protocols
3. Optimize hardware architecture
Co-processing, DVFS,power-gatingEnergy harvesting
Goal of future WSNs: reach energy autonomy!
HDR Defense, Olivier Berder, 10/12/12 4 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Energy Optimization Methodology
HDR Defense, Olivier Berder, 10/12/12 5 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Energy Optimization Methodology
HDR Defense, Olivier Berder, 10/12/12 5 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Energy Optimization Methodology
HDR Defense, Olivier Berder, 10/12/12 5 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Energy Optimization Methodology
HDR Defense, Olivier Berder, 10/12/12 5 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Research themes “at a glance”
Energy modeling and optimization in WSN contextHybrid model using real measurements on PowWow platformStatic then dynamic energy optimization
Transmit power and wake-up interval of sensor nodes
MIMO PrecodingGeneralization of max-dmin precoders
Any number of data streams and constellation
Implementation of precoded MIMO systems
Cooperative communicationsEnergy efficiency of new cooperation schemes
Cooperative MIMO and relay, opportunistic communications
Design of MAC protocols for cooperation
HDR Defense, Olivier Berder, 10/12/12 6 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Outlines
1 WSN Context
2 Research OverviewTeaching and supervisingCollaborations and publicationsWSN Energy modeling and optimizationMIMO Precoding
3 Cooperative techniquesEnergy efficiency of cooperative MIMOCooperative relay protocolsMAC protocols for cooperative relay
4 Summary
5 Perspectives
HDR Defense, Olivier Berder, 10/12/12 7 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Outlines
1 WSN Context
2 Research OverviewTeaching and supervisingCollaborations and publicationsWSN Energy modeling and optimizationMIMO Precoding
3 Cooperative techniquesEnergy efficiency of cooperative MIMOCooperative relay protocolsMAC protocols for cooperative relay
4 Summary
5 Perspectives
HDR Defense, Olivier Berder, 10/12/12 7 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Curriculum Vitae
Education
1998 Maıtrise EEA, UBO
1999 DEA Electronique, option Signaux et Systemes, UBO
2002 Doctorat en Electronique
Professional activities
09/99 - 09/02 PhD Thesis at LEST/UBO
Power allocation strategies and optimization of MIMO systems
10/02 - 09/04 ATER at LEST/UBO
Automatic recognition of compression algorithms
10/04 - 01/05 Post-doc at France Telecom R&D
Adaptive Rate-Distortion Optimised sound codeR (ARDOR)
Since 02/05 Associate Professor at ENSSAT (IRISA R2D2 then EPC CAIRN)
HDR Defense, Olivier Berder, 10/12/12 8 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Teaching Activities
Preferred subjectsWireless Communications (EII3, LSI3, IMR2, ENI Gabes)
Signal Processing (EII2, R&T2, UST Hanoi)Microprocessor, Architecture and Digital Systems (TC, EII1, LSI1,IMR1)
Very useful to understand the whole panel of CAIRN activities
HDR Defense, Olivier Berder, 10/12/12 9 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Students Supervising
A special thank to the Vietnamese connection!
HDR Defense, Olivier Berder, 10/12/12 10 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Collaborative Projects
HighlightsResearcher Movies festival finals for CAPTIV
FET Flagship Candidate Guardian Angels
HDR Defense, Olivier Berder, 10/12/12 11 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Publications
Administration and expertiseElected member of IRISA Lab Council
Reviewer for IEEE JSAC, TWC, TSP, TVT, TN, Globecom, ICC, etc.
Program Committee of IEEE VTC, IWCLD
General chair of WUPS2013
HDR Defense, Olivier Berder, 10/12/12 12 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Publications
Administration and expertiseElected member of IRISA Lab Council
Reviewer for IEEE JSAC, T WC, SP, VT , N, IEEE Globecom, ICC, etc
Program Committee of VTC, IWCLD
General chair of WUPS2013 (deadline today!)
HDR Defense, Olivier Berder, 10/12/12 12 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Outlines
1 WSN Context
2 Research OverviewTeaching and supervisingCollaborations and publicationsWSN Energy modeling and optimizationMIMO Precoding
3 Cooperative techniquesEnergy efficiency of cooperative MIMOCooperative relay protocolsMAC protocols for cooperative relay
4 Summary
5 Perspectives
HDR Defense, Olivier Berder, 10/12/12 13 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
WSN PowWow Platform
Hardware components
TI MSP430 Microprocessor
TI CC2420 Radio transceiver
Actel Igloo FPGA coprocessor
Energy harvesting board
Asynchronous MAC protocol: well suited to low traffic applications
HDR Defense, Olivier Berder, 10/12/12 14 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Energy Modeling
Scenario-based hybrid model [M. Cartron and M.M. Alam PhDs]Real-Time measurements for scenarios [CAIRN Development Team]Analytic expressions for trafic parametersAccurate energy consumption estimation [EURASIP JES 11]
HDR Defense, Olivier Berder, 10/12/12 15 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Energy optimization
Transmit power optimization [M. Cartron PhD]Lifetime increase through static TX power tuning
Different coding schemes investigated (implementation on low-powerFPGA)
Dynamic TX power adaptation
Wake-up interval optimization [M.M. Alam PhD]Static adaptation to application constraints [DASIP07]Traffic-Aware Dynamic MAC protocol [IEEE JETCAS 12, IWCLD11,BSN11]
Definition of Traffic Status RegistersSelf-adaptive algorithmSignificant reduction of idle listening
HDR Defense, Olivier Berder, 10/12/12 16 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Outlines
1 WSN Context
2 Research OverviewTeaching and supervisingCollaborations and publicationsWSN Energy modeling and optimizationMIMO Precoding
3 Cooperative techniquesEnergy efficiency of cooperative MIMOCooperative relay protocolsMAC protocols for cooperative relay
4 Summary
5 Perspectives
HDR Defense, Olivier Berder, 10/12/12 17 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
MIMO Systems
DefinitionsSymbol vectors = (s1, s2, .., sb)
T
Channel matrix H = [hij]
nT transmitters, nR receivers
Space-Time Block CodesAlamouti scheme:
C =
(s1 -s∗2s2 s∗1
)OSTBC by Tarokh
HDR Defense, Olivier Berder, 10/12/12 18 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
MIMO Systems
CSIT AcquisitionChannel State Information at the Transmitter
Reciprocity: reverse channel state information (open-loop)
Feedback: sending the forward channel information back tothe transmitter (closed-loop)
HDR Defense, Olivier Berder, 10/12/12 18 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
MIMO Systems
Optimization criterion: max-dmin
Maximizing the minimum Euclidean distance (on the receivedconstellations)Problem of the precoder matrix determination
Space of solutions - number of variables in the precoderConstellation size and number of antennas
HDR Defense, Olivier Berder, 10/12/12 18 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
MIMO precoding
Generalization of max-dmin precoder [Q.T. Ngo PhD]Rectangular M-QAM modulations [IEEE T SP 12, ICC10, ICC09]
Restriction to two precoders expressionsUse of input shaping DFT-matrix [EURASIP JASP 12]
Three data stream MIMO systems [IEEE T WC 12]New parameterization of the virtual channel
Reducing the number of neighbors [WCNC11, EUSIPCO11]
Towards an efficient implementation of precodersCORDIC algorithms for SVD [G. Garnier Eng., GRETSI09]
On the efficiency of Sphere Decoders for precoded MIMO systems [V.H.Nguyen, (WCNC13)]
HDR Defense, Olivier Berder, 10/12/12 19 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Outlines
1 WSN Context
2 Research OverviewTeaching and supervisingCollaborations and publicationsWSN Energy modeling and optimizationMIMO Precoding
3 Cooperative techniquesEnergy efficiency of cooperative MIMOCooperative relay protocolsMAC protocols for cooperative relay
4 Summary
5 Perspectives
HDR Defense, Olivier Berder, 10/12/12 20 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Outlines
1 WSN Context
2 Research OverviewTeaching and supervisingCollaborations and publicationsWSN Energy modeling and optimizationMIMO Precoding
3 Cooperative techniquesEnergy efficiency of cooperative MIMOCooperative relay protocolsMAC protocols for cooperative relay
4 Summary
5 Perspectives
HDR Defense, Olivier Berder, 10/12/12 20 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Cooperative strategies
Which one to choose betweenDirect transmission: fast but energy consuming (when possible)
HDR Defense, Olivier Berder, 10/12/12 21 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Cooperative strategies
Which one to choose betweenDirect transmission: fast but energy consuming (when possible)
Multi-hop: variable latency
HDR Defense, Olivier Berder, 10/12/12 21 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Cooperative strategies
Which one to choose betweenDirect transmission: fast but energy consuming (when possible)
Multi-hop: variable latency
Cooperative relay: simple, reliable
HDR Defense, Olivier Berder, 10/12/12 21 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Cooperative strategies
Which one to choose betweenDirect transmission: fast but energy consuming (when possible)
Multi-hop: variable latency
Cooperative relay: simple, reliable
Cooperative MIMO: efficient but synchronization requirement andcomplex reception
HDR Defense, Olivier Berder, 10/12/12 21 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Cooperative strategies
Which one to choose betweenDirect transmission: fast but energy consuming (when possible)
Multi-hop: variable latency
Cooperative relay: simple, reliable
Cooperative MIMO: efficient but synchronization requirement andcomplex reception
Opportunistic relaying: reliable but variable latency
HDR Defense, Olivier Berder, 10/12/12 21 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
ITS Application Context
Application constraints and network topology can drive cooperative schemechoiceInfrastructure to Vehicle (I2V) Communications in CAPTIV1
Cooperative MIMO well suited to crossroads configuration
1Cooperative strAtegies for low Power wireless Transmissions between Infrastructure and Vehicles
HDR Defense, Olivier Berder, 10/12/12 22 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Energy efficiency of cooperative MIMO [T.D. Nguyen PhD]
Energy models (literature, transceiver characteristics)
Cooperative MISO more energy efficient from 30 meters
Cooperation at the receiver not really energy efficient
HDR Defense, Olivier Berder, 10/12/12 23 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Cooperative transmitters desynchronization problems
Transmitters desynchronization[ICC08]
ISI generated by 4 nearestsymbolsPerformance degradationacceptable until 0.2Ts
HDR Defense, Olivier Berder, 10/12/12 24 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Cooperative transmitters desynchronization problems
Transmitters desynchronization[ICC08]
ISI generated by 4 nearestsymbolsPerformance degradationacceptable until 0.2Ts
Multiple sampling [VTC08]Time offsets estimation
2 consecutive samplings
Recover signals orthogonalityfor space-time recombination
HDR Defense, Olivier Berder, 10/12/12 24 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Association of cooperative MIMO and relay techniques [L.Q.V. Tran PhD]
Fully Distributed Space Time Codes [WCNC11]
HDR Defense, Olivier Berder, 10/12/12 25 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Association of cooperative MIMO and relay techniques [L.Q.V. Tran PhD]
Fully Distributed Space Time Codes [WCNC11]
Exchange of data between relays before space-time transmissionUseful for cooperative transmitters synchronization
Low transmit power for transmission between relays
HDR Defense, Olivier Berder, 10/12/12 25 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Association of cooperative MIMO and relay techniques [L.Q.V. Tran PhD]
Fully Distributed Space Time Codes [WCNC11]
Exchange of data between relays before space-time transmissionUseful for cooperative transmitters synchronization
Low transmit power for transmission between relays
HDR Defense, Olivier Berder, 10/12/12 25 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Association of cooperative MIMO and relay techniques [L.Q.V. Tran PhD]
Fully Distributed Space Time Codes [WCNC11]
Exchange of data between relays before space-time transmissionUseful for cooperative transmitters synchronization
Low transmit power for transmission between relays
HDR Defense, Olivier Berder, 10/12/12 25 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Where should the relays be?
r = dsrdsd
rr = drrdsd
fDSTC always better than cDSTCPerformance decrease when relays far from each other
HDR Defense, Olivier Berder, 10/12/12 26 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Where should the relays be?
r = dsrdsd
rr = drrdsd
fDSTC always better than cDSTCPerformance decrease when relays far from each otherSignificant SNR gain when relays further than middledistance
HDR Defense, Olivier Berder, 10/12/12 26 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
On the diversity-multiplexing trade-off of cooperative relays
Diversity order increase when using fDSTCMaximum diversity order for NR-relays (3) but not for R-Relays (2)DMT to find between all cooperative schemes
HDR Defense, Olivier Berder, 10/12/12 27 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Cooperative MAC Protocol
Problems to deal withNodes rendez-vous toexchange dataCooperativetransmitterssynchronizationQuasi nothing in theliterature (CL-MAC)
ARQ-CRI MAC protocol [D.L. Nguyen Ms Thesis, (ICC13)]Automatic Repeat Request Cooperative Receiver Initiated
Node waking up the soonest after destination becomes the relay
Relaying only if no ACK from destination
HDR Defense, Olivier Berder, 10/12/12 28 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Cooperative MAC Protocol
Problems to deal withNodes rendez-vous toexchange dataCooperativetransmitterssynchronizationQuasi nothing in theliterature (CL-MAC)
ARQ-CRI MAC protocol [D.L. Nguyen Ms Thesis, (ICC13)]Automatic Repeat Request Cooperative Receiver Initiated
Node waking up the soonest after destination becomes the relay
Relaying only if no ACK from destination
HDR Defense, Olivier Berder, 10/12/12 28 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
OMNET++ Simulation results
Network topology5 source nodes, number of nodes in the relay region varies from 1 to 5All nodes in both source and relay regions have a role of source nodesIn cooperative networks, nodes in relay region can act as a relay
HDR Defense, Olivier Berder, 10/12/12 29 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
OMNET++ Simulation results
For low traffic, ARQ-CRI far more energy efficientFor higher traffic, same energy but lower latency for ARQ-CRIFor each optimal point, best energy-delay trade-off
HDR Defense, Olivier Berder, 10/12/12 29 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Outlines
1 WSN Context
2 Research OverviewTeaching and supervisingCollaborations and publicationsWSN Energy modeling and optimizationMIMO Precoding
3 Cooperative techniquesEnergy efficiency of cooperative MIMOCooperative relay protocolsMAC protocols for cooperative relay
4 Summary
5 Perspectives
HDR Defense, Olivier Berder, 10/12/12 30 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Outlines
1 WSN Context
2 Research OverviewTeaching and supervisingCollaborations and publicationsWSN Energy modeling and optimizationMIMO Precoding
3 Cooperative techniquesEnergy efficiency of cooperative MIMOCooperative relay protocolsMAC protocols for cooperative relay
4 Summary
5 Perspectives
HDR Defense, Olivier Berder, 10/12/12 30 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Scientific Outcome
Supervising4 defended PhD Thesis (+3 ongoing)
5 Ms Thesis (+2 ongoing)
Publications8 international journal papers (+3 submitted)
3 book chapters
22 international conference papers (+ 6 national)
Collaborative Projects2 ANR, 1 AMI ADEME, 1 Labex, 1 Equipex
1 ITEA (+ 1 FET Flagship)
1 PRIR + 2 EPT UEB
1 EA + 1 PICS
HDR Defense, Olivier Berder, 10/12/12 31 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
MIMO precoding
Various extensions of max-dmin precoderAny rectangular QAM modulation
Three data streams and possible combinations for more
Reducing the number of neighbors
Excellent results and good publication level
But. . .First step towards implementation still unsufficient
Enhance efforts to deal with the Agilent platform
Lack of industrial and international collaborations in this domain
HDR Defense, Olivier Berder, 10/12/12 32 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Energy optimization of WSN
Strong expertise in WSN Research & DevelopmentLink with other CAIRN team activities
FPGA prototyping and low power design
Protocol stack and software developmentPower-aware algorithms and power management
Evaluated through analytics, network simulators or real platform
PowWow Platform to promoteModular and evolutive hardware
Open-source software
Interest of industrial companies (e.g. Thales, CEA . . . )
HDR Defense, Olivier Berder, 10/12/12 33 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Cooperative schemes
Expertise in different strategiesCooperative MIMO
ITS context for CAPTIV
Cooperative relay
Opportunistic relaying
Need to compare them more accurately
Cooperative MAC protocolsOpen subject in the literature
Need for network simulation (WSNet, OMNET++/Mixim. . . )
Decrease the efficiency of cooperative techniques
HDR Defense, Olivier Berder, 10/12/12 34 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Outlines
1 WSN Context
2 Research OverviewTeaching and supervisingCollaborations and publicationsWSN Energy modeling and optimizationMIMO Precoding
3 Cooperative techniquesEnergy efficiency of cooperative MIMOCooperative relay protocolsMAC protocols for cooperative relay
4 Summary
5 Perspectives
HDR Defense, Olivier Berder, 10/12/12 35 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Outlines
1 WSN Context
2 Research OverviewTeaching and supervisingCollaborations and publicationsWSN Energy modeling and optimizationMIMO Precoding
3 Cooperative techniquesEnergy efficiency of cooperative MIMOCooperative relay protocolsMAC protocols for cooperative relay
4 Summary
5 Perspectives
HDR Defense, Olivier Berder, 10/12/12 35 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Towards a complete autonomy of wireless nodes
Power manager design [GRECO, N.L. TrongPhD]
Multi-source harvesting hardwareLight, Heat, Moves, RF, Bio . . .
Prediction algorithms
Energy neutral operations
Efficient implementation
HDR Defense, Olivier Berder, 10/12/12 36 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Implementation of cooperative techniques
This recent research domain lacks. . .experimental platforms!
Proof of concept with real conditionsValidating implementation problems such as:
Synchronization needs (virtual MIMO for instance)Channel state information transmission in MH networks
Self-tuning to find experimentally best strategies
Equipex Future Internet of ThingsMore than 50 software defined radio nodes (some MIMO compliant)
AMI ADEME EGUISEElectric vehicles management
Onboard multistandard radio nodes for communication
HDR Defense, Olivier Berder, 10/12/12 37 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Cooperative scheme selection
HDR Defense, Olivier Berder, 10/12/12 38 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Cooperative scheme selection
Given all possibilities above mentioned...
When to cooperate?Whom to cooperate with?Which cooperative scheme to adopt?
HDR Defense, Olivier Berder, 10/12/12 38 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Cooperative scheme selection
Given all possibilities above mentioned...
When to cooperate?Whom to cooperate with?Which cooperative scheme to adopt?
HDR Defense, Olivier Berder, 10/12/12 38 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Cooperative scheme selection
Given all possibilities above mentioned...
When to cooperate?Whom to cooperate with?Which cooperative scheme to adopt?
Complex (distributed) and open optimization problem that needs newparadigms
HDR Defense, Olivier Berder, 10/12/12 38 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Cooperative scheme selection
Given all possibilities above mentioned...
When to cooperate?Whom to cooperate with?Which cooperative scheme to adopt?
Game theory algorithms [LDA, IEEE SPM 09]Nodes considered as players to reach stable operation pointsCoalitional game theory to model cooperative behavior
Power allocation strategiesCollaborative spectrum sensing
Bio-inspired techniques [LR, ACM T AAS 12]Multi-agent smart systems
Local decisions to reach global optimization
HDR Defense, Olivier Berder, 10/12/12 38 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Wireless Body Area Networks
BAN cooperative techniques [V.H. Nguyen PhD]Power-aware adaptive coding in a distributed context
Adaptive STBC coding schemePhD cosupervised by C. Langlais (LAbSTICC)
HDR Defense, Olivier Berder, 10/12/12 39 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Wireless Body Area Networks
BAN cooperative techniques [V.H. Nguyen PhD]Power-aware adaptive coding in a distributed context
Adaptive STBC coding schemePhD cosupervised by C. Langlais (LAbSTICC)
Distributed MIMO precoding for BAN to base station transmission
HDR Defense, Olivier Berder, 10/12/12 39 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Wireless Body Area Networks
BOdy World InteractionCominLabs Labex project4 linked PhD subjects
Cooperative communicationsChannel modelsHardware architectureAlgorithms for gesturerecognition
Guardian Angels for a smarter lifeEU Future and EmergingTechnologies Flagship
10 year project
HDR Defense, Olivier Berder, 10/12/12 40 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Bibliographie I
R. Zhang, O. Berder, J. Gorce, O. Sentieys, Energy-Delay Tradeoff in Wireless Multihop Networks with Unreliable Links, Ad HocNetworks 10, 7, 2012, p. 1306-1321.
Q. Ngo, O. Berder, P. Scalart, Minimum Euclidean Distance Based Precoders for MIMO Systems Using Rectangular QAMModulations, IEEE Transactions on Signal Processing 60, 3, March 2012, p. 1527-1533.
Q. Ngo, O. Berder, P. Scalart, Minimum Euclidean Distance Based Precoding for Three-Dimensional Multiple-Input Multiple-OuputSpatial Multiplexing Systems, IEEE Transactions on Wireless Communications 11, 7, 2012, p. 2486-2495.
M. Alam, O. Berder, D. Menard, O. Sentieys, TAD-MAC : Traffic-Aware Dynamic MAC Protocol for Wireless Body Area SensorNetworks, IEEE Journal on Emerging and Selected Topics in Circuits and Systems 2, 1, March 2012, p. 109-119.
T. Nguyen, O. Berder, O. Sentieys, Energy-Efficient Cooperative Techniques for Infrastructure-to-Vehicle Communications, IEEETransactions on Intelligent Transportation Systems, 12, 3, Sept. 2011, p. 659-668.
M. M. Alam, O. Berder, D. Menard, T. Anger, O. Sentieys, A hybrid model for accurate energy analysis of WSN nodes, EURASIPJournal on Embedded Systems, Jan. 2011, p. 4 :1-4 :16.26
R. Zhang, J. Gorce, O. Berder, O. Sentieys, Lower Bound of Energy-Latency Trade-off of Opportunistic Routing in Multi-hopNetworks, EURASIP Journal on Wireless Communications and Networking, 2011.
L. Collin, O. Berder, P. Rostaing, G. Burel, Optimal minimum distance- based precoder for MIMO spatial multiplexing systems, IEEETransactions on Signal Processing 52, 3, march 2004, p. 617-627.
HDR Defense, Olivier Berder, 10/12/12 41 / 42
WSN Context Research Overview Cooperative techniques Summary Perspectives
Thanks for listening !
HDR Defense, Olivier Berder, 10/12/12 42 / 42
