Intelligent Sensor Networks The Integration of Sensor Networks, Signal Processing and Machine Learning

658 Pages·2012·19.652 MB·English

by  Fei Hu, Qi Hao

Intelligent
Electrical Engineering/Computer Science H
H
A
Although governments worldwide have invested significantly in intelligent sensor U
O
network research and applications, few books cover intelligent sensor networks from a
machine learning and signal processing perspective. Filling this void, Intelligent Sensor
Networks: The Integration of Sensor Networks, Signal Processing and Machine Sensor
I
Learning focuses on the close integration of sensing, networking, and smart signal
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processing via machine learning.
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Based on the world-class research of award-winning authors, the book provides a firm e
grounding in the fundamentals of intelligent sensor networks, including compressive
Networks
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sensing and sampling, distributed signal processing, and intelligent signal learning.
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Presenting recent research results of world-renowned sensing experts, the book is
i
organized into three parts:
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• Machine Learning—describes the application of machine learning and other
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AI principles in sensor network intelligence—covering smart sensor/
transducer architecture and data representation for intelligent sensors n
• Signal Processing—considers the optimization of sensor network performance
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based on digital signal processing techniques—including cross-layer

integration of routing and application-specific signal processing as well as
S The Integration
on-board image processing in wireless multimedia sensor networks for
intelligent transportation systems e
• Networking—focuses on network protocol design in order to achieve an of Sensor Networks,
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intelligent sensor networking—covering energy-efficient opportunistic
routing protocols for sensor networking and multi-agent-driven wireless s
sensorcooperation Signal Processing and
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Maintaining a focus on “intelligent” designs, the book details signal processing principles
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in sensor networks. It elaborates on critical platforms for intelligent sensor networks Machine Learning

and illustrates key applications—including target tracking, object identification, and
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structural health monitoring. It also includes a paradigm for validating the extent of
spatiotemporal associations among data sources to enhance data cleaning in sensor e
networks, a sensor stream reduction application, and also considers the use of Kalman
t
filters for attack detection in a water system sensor network that consists of water level
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sensors and velocity sensors.
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Edited by
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K14167
ISBN: 978-1-4398-9281-7 FEI HU
90000
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QI HAO
9 781439 892817
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Intelligent
Sensor
Networks
The Integration of Sensor Networks,
Signal Processing and Machine Learning
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Intelligent
Sensor
Networks
The Integration of Sensor Networks,
Signal Processing and Machine Learning
Edited by
FEI HU
QI HAO
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Contents
Preface ........................................................................................ xi
Editors ........................................................................................ xv
Contributors..................................................................................xvii
PART I Intelligent Sensor Networks: Machine Learning Approach
1 MachineLearningBasics ................................................................. 3
KRASIMIRAKAPITANOVAANDSANGH.SON
2 ModelingUnreliableDataandSensors:UsingEventLogPerformance
andF-MeasureAttributeSelection....................................................... 31
VASANTHIYER,S.SITHARAMAIYENGAR,ANDNIKIPISSINOU
3 IntelligentSensorInterfacesandDataFormat .......................................... 55
KONSTANTINMIKHAYLOV,JONIJAMSA,MIKALUIMULA,
JOUNITERVONEN,ANDVILLEAUTIO
4 SmartWirelessSensorNodesforStructuralHealthMonitoring ....................... 77
XUEFENGLIU,SHAOJIETANG,ANDXIAOHUAXU
5 KnowledgeRepresentationandReasoningfortheDesignofResilient
SensorNetworks .......................................................................... 93
DAVIDKELLER,TOURIAEL-MEZYANI,SANJEEVSRIVASTAVA,ANDDAVIDCARTES
6 IntelligentSensor-to-MissionAssignment...............................................115
HOSAMROWAIHY
7 Prediction-BasedDataCollectioninWirelessSensorNetworks........................153
YANN-AËLLEBORGNEANDGIANLUCABONTEMPI
8 Neuro-DisorderPatientMonitoringviaGaitSensorNetworks:Towardan
Intelligent,Context-OrientedSignalProcessing ........................................181
FEIHU,QINGQUANSUN,ANDQIHAO
9 CognitiveWirelessSensorNetworks.....................................................205
SUMITKUMAR,DEEPTISINGHAL,ANDRAMAMURTHYGARIMELLA
vii
viii ■ Contents
PART II Intelligent Sensor Networks: Signal Processing
10 RoutingforSignalProcessing............................................................223
WANZHIQIUANDEFSTRATIOSSKAFIDAS
11 On-BoardImageProcessinginWirelessMultimediaSensorNetworks:AParking
SpaceMonitoringSolutionforIntelligentTransportationSystems....................245
CLAUDIOSALVADORI,MATTEOPETRACCA,MARCOGHIBAUDI,
ANDPAOLOPAGANO
12 SignalProcessingforSensingandMonitoringofCivilInfrastructureSystems........267
MUSTAFAGULANDF.NECATICATBAS
13 DataCleaninginLow-PoweredWirelessSensorNetworks.............................305
QUTUBALIBAKHTIAR,NIKIPISSINOU,ANDKIAMAKKI
14 SensorStreamReduction.................................................................329
ANDREL.L.AQUINO,PAULOR.S.SILVAFILHO,ELIZABETHF.WANNER,
ANDRICARDOA.RABELO
15 CompressiveSensingandItsApplicationinWirelessSensorNetworks................351
JAE-GUNCHOI,SANG-JUNPARK,ANDHEUNG-NOLEE
16 CompressiveSensingforWirelessSensorNetworks.....................................379
MOHAMMADREZAMAHMUDIMANESH,ABDELMAJIDKHELIL,ANDNEERAJSURI
17 FrameworkforDetectingAttacksonSensorsofWaterSystems........................397
KEBINAMANANDHAR,XIAOJUNCAO,ANDFEIHU
PART III Intelligent Sensor Networks: Sensors and Sensor Networks
18 ReliableandEnergy-EfficientNetworkingProtocolDesigninWireless
SensorNetworks ..........................................................................411
TINGZHUANDPINGYI
19 Agent-DrivenWirelessSensorsCooperationforLimitedResourcesAllocation .......427
SAMEHABDEL-NABY,CONORMULDOON,OLGAZLYDAREVA,
ANDGREGORYO’HARE
20 EventDetectioninWirelessSensorNetworks...........................................441
NORMANDZIENGEL,GEORGWITTENBURG,STEPHANADLER,ZAKARIAKASMI,
MARCOZIEGERT,ANDJOCHENSCHILLER
21 DynamicCoverageProblemsinSensorNetworks.......................................459
HRISTODJIDJEVANDMIODRAGPOTKONJAK
22 Self-OrganizingDistributedStateEstimators ...........................................483
JORISSIJSANDZOLTANPAPP
Contents ■ ix
23 Low-PowerSolutionsforWirelessPassiveSensorNetworkNodeProcessor
Architecture ...............................................................................515
VYASASAI,AJAYOGIRALA,ANDMARLINH.MICKLE
24 FusionofPre/Post-RFIDCorrectionTechniquestoReduceAnomalies...............529
PETERDARCY,PRAPASSARAPUPUNWIWAT,ANDBELASTANTIC
25 RadioFrequencyIdentificationSystemsandSensorIntegration
forTelemedicine ..........................................................................567
AJAYOGIRALA,SHRUTIMANTRAVADI,ANDMARLINH.MICKLE
26 ANewGenerationofIntrusionDetectionNetworks....................................589
JERRYKRILLANDMICHAELO’DRISCOLL
Index ..........................................................................................635