Front Cover -- Smart Sensors Networks -- Copyright -- Contents -- Contributors -- About the Editors -- Foreword -- Preface -- Organization of the Book -- The Book Readership -- Acknowledgments -- Part 1 IoT and Network Communication Systems -- 1 IoT Technologies: State of the Art and a Software Deve...

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Weitere Verfasser:	Xhafa, Fatos (HerausgeberIn), Leu, Fang-Yie (HerausgeberIn), Hung, Li-Ling (HerausgeberIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	London Elsevier [2017]
Schriftenreihe:	Intelligent Data-Centric Systems: Sensor Collected Intelligence
Schlagworte:	Intelligenter Sensor
Online-Zugang:	FHD01
Zusammenfassung:	Front Cover -- Smart Sensors Networks -- Copyright -- Contents -- Contributors -- About the Editors -- Foreword -- Preface -- Organization of the Book -- The Book Readership -- Acknowledgments -- Part 1 IoT and Network Communication Systems -- 1 IoT Technologies: State of the Art and a Software Development Framework -- 1.1 Introduction -- 1.2 Current Status of IoT -- 1.2.1 Example of IoT Devices -- 1.2.2 Standardization Trend -- 1.2.3 IoT Technologies -- 1.3 IoT Securities -- 1.4 A Software Framework for IoT -- 1.4.1 Overview of the Software Framework -- 1.4.2 Islay -- 1.4.3 Raspberry Pi and a Linux Scheduler -- 1.4.4 Improvement of the Dynamic Timer -- 1.5 Conclusions -- References -- Acronyms and Glossary -- List of acronyms with explanation -- Glossary of terms with explanation -- 2 Increasing Effective Transmissions Using Smart Antenna Systems -- 2.1 Introduction -- 2.2 Background and Literature Review -- 2.3 Problem under Study and Its Statement -- 2.3.1 Network Assumptions -- 2.3.2 Problem Formulation -- Beam Mode Constraint -- Data Diversity Constraint -- Interference Constraint -- Transmitting Rate Constraint -- Receiving Rate Constraint -- 2.3.3 Objectives -- 2.3.3.1 Routing Objectives -- Objective: The shortest paths for unicasting -- Objective: The minimal cost for multicasting -- 2.3.3.2 Scheduling Objectives -- Objective: The maximal satisfying transmissions in the minimal time -- 2.4 The Proposed Approach -- 2.4.1 De ning the Clusters in the Concerned Environment -- 2.4.2 Determining the Routing Paths for Each Transmission Pair -- 2.4.2.1 Building Delay-Guaranteed Routing Paths -- A. Creating and Transmitting RREQ Packets -- B. Creating and Replying RREP Packets -- C. Routing Table in each Host -- 2.4.2.2 Finding Shared Paths for Multicasting -- 2.4.2.3 Adjusting the Routing Path -- 2.4.3 Schedule Parallel Transmissions Pairs 2.4.3.1 Collecting Transmission Requests -- 2.4.3.2 Constructing Parallel Transmissions -- 2.4.3.3 Scheduling According to Receivers and Senders -- 2.5 Implementation -- 2.6 Evaluation -- 2.6.1 Routing Evaluations -- 2.6.2 Scheduling Evaluations -- 2.7 Conclusions -- 2.8 Future Works and Challenges -- References -- Acronyms and Glossary -- List of acronyms with explanation -- Glossary of terms with explanation -- 3 A DTN-Based Multi-hop Network for Disaster Information Transmission -- 3.1 Introduction -- 3.2 Related Works -- 3.3 The Proposed System -- 3.4 Network Protocol -- 3.4.1 System Architecture -- 3.5 Prototype System and Performance -- 3.5.1 Performance Evaluation and Discussions -- 3.6 Conclusions -- Acknowledgment -- References -- Acronyms and Glossary -- List of acronyms with explanation -- Glossary of terms with explanation -- 4 Intelligent Energy Management for Environmental Monitoring Systems -- 4.1 Introduction -- 4.2 Environmental Monitoring Systems -- 4.2.1 Structure of Environmental Monitoring Systems -- 4.2.2 Sensors for Environmental Monitoring -- 4.2.2.1 Temperature Measurement -- 4.2.2.2 Light Monitoring -- 4.2.2.3 Soil Monitoring -- 4.2.2.4 Gas Analysis -- 4.3 Power Supplies for Terrestrial Environmental Monitoring Systems -- 4.3.1 Components of Power Supplies -- 4.3.1.1 Energy Sources -- 4.3.1.2 Energy Storage Devices -- 4.3.1.3 Power Converters -- 4.3.1.4 Loads -- 4.3.2 Energy Harvesting Systems -- 4.3.2.1 Topologies of Energy Harvesting Systems -- Autonomous harvesting systems -- Autonomous hybrid harvesting systems -- Battery-supplemented harvesting systems -- 4.4 Energy Management Strategies -- 4.4.1 Power Management Techniques -- 4.4.1.1 Maximum Power Point Tracking -- 4.4.1.2 Duty Cycling -- 4.4.1.3 Dynamic Voltage and Frequency Scaling -- 4.4.1.4 Power Management for Peripherals -- 4.4.2 From Techniques to Strategies 4.4.2.1 Design -- 4.4.2.2 Development and Testing -- 4.4.2.3 Evaluation -- 4.5 Computational Intelligence in EMS Energy Management -- 4.5.1 Pressure-Based Forecasting of Solar Energy Availability -- 4.5.2 Energy Management in EMS Using Fuzzy Control -- 4.5.3 In-node Data Compression -- 4.5.4 Entropy-Based Clustering Hierarchy -- 4.6 Conclusions and Future Work -- References -- Acronyms and Glossary -- List of acronyms with explanation -- Glossary of terms with explanation -- Part 2 Data Streaming, Processing, and Analysis -- 5 Smart Sensor Data Stream Delivery Technologies -- 5.1 Introduction -- 5.2 P2P-Based Technologies -- 5.2.1 Addressed Problems -- 5.2.1.1 Assumed Environment -- 5.2.1.2 Input Setting -- 5.2.1.3 Objective Function -- 5.2.1.4 De nition of a Load -- 5.2.2 Load Distribution Method -- 5.2.3 Evaluation -- 5.2.3.1 Simulation Environment -- 5.2.3.2 Total System Loads -- 5.2.3.3 Loads for Source Node -- 5.2.3.4 Load Distribution -- 5.2.3.5 The Number of Hops -- 5.2.3.6 Communication Loads of Each Node -- 5.3 Technologies on the Cloud -- 5.3.1 Addressed Problems -- 5.3.2 Load Distribution Method -- 5.3.2.1 Overview -- 5.3.2.2 Grouping of Nodes -- 5.3.3 Node Assignment and Construction of Delivery Paths -- 5.3.4 Evaluation -- 5.3.4.1 Simulation Environment -- 5.3.4.2 Results by the Number of Nodes -- 5.3.4.3 Results by the Number of Streams -- 5.3.4.4 Results by the Number of Destinations -- 5.4 Discussion -- 5.5 Conclusion -- Acknowledgments -- References -- Acronyms and Glossary -- List of acronyms with explanation -- Glossary of terms with explanation -- 6 Scalable Processing of Massive Traf c Datasets -- 6.1 Introduction -- 6.2 Background and State of the Art -- 6.3 The Problem Description -- 6.3.1 The Data Sources -- 6.3.1.1 The Digital Map -- 6.3.1.2 The Traf c Dataset -- 6.3.2 Description of the Use Cases
Beschreibung:	1 Online-Ressource (XXVII, 366 Seiten)
ISBN:	9780128098653