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Produktbild: Modeling and Optimization of Parallel and Distributed Embedded Systems

Modeling and Optimization of Parallel and Distributed Embedded Systems

Aus der Reihe Wiley - IEEE

Fr. 162.00

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

08.02.2016

Verlag

John Wiley & Sons Inc

Seitenzahl

400

Maße (L/B/H)

24.4/17/2 cm

Gewicht

612 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-1-119-08641-3

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

08.02.2016

Verlag

John Wiley & Sons Inc

Seitenzahl

400

Maße (L/B/H)

24.4/17/2 cm

Gewicht

612 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-1-119-08641-3

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: GPSR Kontakt

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  • Produktbild: Modeling and Optimization of Parallel and Distributed Embedded Systems
  • Preface xv
     
    Acknowledgment xxi
     
    Part I OVERVIEW
     
    1 Introduction 3
     
    1.1 Embedded Systems Applications 6
     
    1.1.1 Cyber-Physical Systems 6
     
    1.1.2 Space 6
     
    1.1.3 Medical 7
     
    1.1.4 Automotive 8
     
    1.2 Characteristics of Embedded Systems Applications 9
     
    1.2.1 Throughput-Intensive 9
     
    1.2.2 Thermal-Constrained 9
     
    1.2.3 Reliability-Constrained 10
     
    1.2.4 Real-Time 10
     
    1.2.5 Parallel and Distributed 10
     
    1.3 Embedded Systems--Hardware and Software 11
     
    1.3.1 Embedded Systems Hardware 11
     
    1.3.2 Embedded Systems Software 14
     
    1.4 Modeling--An Integral Part of the Embedded Systems Design Flow 15
     
    1.4.1 Modeling Objectives 16
     
    1.4.2 Modeling Paradigms 18
     
    1.4.3 Strategies for Integration of Modeling Paradigms 20
     
    1.5 Optimization in Embedded Systems 21
     
    1.5.1 Optimization of Embedded Systems Design Metrics 23
     
    1.5.2 Multiobjective Optimization 26
     
    1.6 Chapter Summary 27
     
    2 Multicore-Based EWSNs--An Example of Parallel and Distributed Embedded Systems 29
     
    2.1 Multicore Embedded Wireless Sensor Network Architecture 31
     
    2.2 Multicore Embedded Sensor Node Architecture 33
     
    2.2.1 Sensing Unit 34
     
    2.2.2 Processing Unit 34
     
    2.2.3 Storage Unit 34
     
    2.2.4 Communication Unit 35
     
    2.2.5 Power Unit 35
     
    2.2.6 Actuator Unit 35
     
    2.2.7 Location Finding Unit 36
     
    2.3 Compute-Intensive Tasks Motivating the Emergence of MCEWSNs 36
     
    2.3.1 Information Fusion 36
     
    2.3.2 Encryption 38
     
    2.3.3 Network Coding 38
     
    2.3.4 Software-Defined Radio (SDR) 38
     
    2.4 MCEWSN Application Domains 38
     
    2.4.1 Wireless Video Sensor Networks (WVSNs) 39
     
    2.4.2 Wireless Multimedia Sensor Networks (WMSNs) 39
     
    2.4.3 Satellite-Based Wireless Sensor Networks (SBWSN) 40
     
    2.4.4 Space Shuttle Sensor Networks (3SN) 41
     
    2.4.5 Aerial-Terrestrial Hybrid Sensor Networks (ATHSNs) 42
     
    2.4.6 Fault-Tolerant (FT) Sensor Networks 43
     
    2.5 Multicore Embedded Sensor Nodes 43
     
    2.5.1 InstraNode 43
     
    2.5.2 Mars Rover Prototype Mote 43
     
    2.5.3 Satellite-Based Sensor Node (SBSN) 44
     
    2.5.4 Multi-CPU-Based Sensor Node Prototype 44
     
    2.5.5 Smart Camera Mote 44
     
    2.6 Research Challenges and Future Research Directions 45
     
    2.7 Chapter Summary 47
     
    Part II MODELING
     
    3 An Application Metrics Estimation Model for Embedded Wireless Sensor Networks 51
     
    3.1 Application Metrics Estimation Model 52
     
    3.1.1 Lifetime Estimation 53
     
    3.1.2 Throughput Estimation 56
     
    3.1.3 Reliability Estimation 57
     
    3.1.4 Models Validation 57
     
    3.2 Experimental Results 58
     
    3.2.1 Experimental Setup 58
     
    3.2.2 Results 59
     
    3.3 Chapter Summary 61
     
    4 Modeling and Analysis of Fault Detection and Fault Tolerance in Embedded Wireless Sensor Networks 63
     
    4.1 Related Work 67
     
    4.1.1 Fault Detection 67
     
    4.1.2 Fault Tolerance 68
     
    4.1.3 WSN Reliability Modeling 69
     
    4.2 Fault Diagnosis in WSNs 70
     
    4.2.1 Sensor Faults 70
     
    4.2.2 Taxonomy for Fault Diagnosis Techniques 72
     
    4.3 Distributed Fault Detection Algorithms 74
     
    4.3.1 Fault Detection Algorithm 1: The Chen Algorithm 74
     
    4.3.2 Fault Detection Algorithm 2: The Ding Algorithm 76
     
    4.4 Fault-Tolerant Markov Models 77
     
    4.4.1 Fault-Tolerance Parameters 77
     
    4.4.2 Fault-Tolerant Sensor Node Model 79