شبکه‌های حسگر هوشمند: فناوری‌های ارتباطی و کاربردهای هوشمند. جلدی در سیستم‌های داده‌محور هوشمند

__Smart Sensors Networks: Communication Technologies and Intelligent Applications__ explores the latest sensor and sensor networks techniques and applications, showing how networked wireless sensors are used to monitor and gather intelligence from our surrounding environment. It provides a systematic look at the unique characteristics of wireless sensor networks through their usage in a broad range of areas, including healthcare for the elderly, energy consumption, industrial automation, intelligent transportation systems, smart homes and cities, and more. The book shows how sensor-networks work and how they are applied to monitor our surrounding environment. It explores the most important aspects of modern sensors technologies, providing insights on the newest technologies and the systems needed to operate them. Readers will find the book to be an entry point for understanding the fundamental differences between the various sensor technologies and their use in for different scenarios. **Indexing: The books of this series are submitted to EI-Compendex and SCOPUS** Content: Front Matter,Copyright,Contributors,About the Editors,Foreword,Preface,AcknowledgmentsEntitled to full textPart 1: IoT and Network Communication SystemsChapter 1 - IoT Technologies: State of the Art and a Software Development Framework, Pages 3-18, Takahiro Inui, Masaki Kohana, Shusuke Okamoto, Masaru Kamada Chapter 2 - Increasing Effective Transmissions Using Smart Antenna Systems, Pages 19-52, Li-Ling Hung, Sheng-Han Wu Chapter 3 - A DTN-Based Multi-hop Network for Disaster Information Transmission, Pages 53-66, Shinya Kitada, Goshi Sato, Yoshitaka Shibata Chapter 4 - Intelligent Energy Management for Environmental Monitoring Systems, Pages 67-94, Petr Musilek, Michal Prauzek, Pavel Krömer, James Rodway, Tomáš Bartoň Chapter 5 - Smart Sensor Data Stream Delivery Technologies, Pages 97-122, Tomoya Kawakami, Yoshimasa Ishi, Tomoki Yoshihisa, Yuuichi Teranishi Chapter 6 - Scalable Processing of Massive Traffic Datasets, Pages 123-142, Sergio Di Martino, Simon Kwoczek, Wolfgang Nejdl Chapter 7 - Bounded Error Data Compression and Aggregation in Wireless Sensor Networks, Pages 143-157, Ray-I Chang, Meng-Han Li, Polon Chuang, Jeng-Wei Lin Chapter 8 - Application of Data Analysis in Wellness and Health Sensor Network Environment, Pages 159-185, Jian-hua Yeh, Wei-ting Chen Chapter 9 - Electronic Health System: Sensors Emerging and Intelligent Technology Approach, Pages 189-203, Heru Susanto Chapter 10 - Fall Detection and Motion Classification by Using Decision Tree on Mobile Phone, Pages 205-237, Fang-Yie Leu, Chia-Yin Ko, Yi-Chen Lin, Heru Susanto, Hsin-Chun Yu Chapter 11 - Approaching Hardware Solutions for Massive E-Health Sensor Data Analysis, Pages 239-259, Mario Barbareschi, Sara Romano, Antonino Mazzeo Chapter 12 - A Method for Estimating Stress and Relaxed States Using a Pulse Sensor for QOL Visualization, Pages 261-290, Sayaka Akiyama, Yuka Kato Chapter 13 - Proximity-Based Service: An Advanced Way of Extending Human Proximity Awareness, Pages 293-307, Akihiro Fujihara Chapter 14 - WiFi Tracking of Pedestrian Behavior, Pages 309-337, Andreea-Cristina Petre, Cristian Chilipirea, Mitra Baratchi, Ciprian Dobre, Maarten van Steen Chapter 15 - The Life Management Platform Achieves Data Protection and Safe Sharing, Pages 339-359, Hideyuki Shimizu, Hisashi Sakamoto, Tohru Miyazaki, Masayoshi Kai Index, Pages 361-366 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 8.3.3.3 Passive Infrared Sensing Systems and Their Control -- 8.3.3.4 Electrical Apparatuses and Their Sensing Control -- 8.3.3.5 Non-Electrical Apparatuses and Their Sensing Control -- 8.3.4 Network Communication of WHSNS -- 8.3.5 Topological Architecture of WHSNS -- 8.3.6 Integration and Analysis of Real-Time Heterogeneous Sensor Data -- 8.3.7 The Software System Used to Obtain Sensor Data -- 8.3.8 Other Demands -- 8.3.9 Summary -- 8.4 Case Study: Application of WHSNS in Health Analysis and Prediction -- 8.4.1 Introduction -- 8.4.2 Health Analysis and Prediction-Oriented System Design -- 8.4.3 How to Use Health Analysis and Prediction to Check the Physical Health of Care Recipients -- 8.4.4 Optimization Procedure -- 8.4.5 System Installation -- 8.5 Conclusion and Future Works -- References -- Acronyms and Glossary -- List of acronyms with explanation -- Glossary of terms with explanation -- Part 3 Healthcare Applications -- 9 Electronic Health System: Sensors Emerging and Intelligent Technology Approach -- 9.1 Introduction -- 9.2 Literature Review -- 9.2.1 The Role of ICT for Intelligent Apps of Health System -- 9.2.2 ICT Impacts for Intelligent Apps of Health System -- 9.3 Discussion -- 9.3.1 ICT Emerging Technology -- 9.3.2 The Intelligent Sensors Apps -- 9.3.3 Usability of Intelligent Sensors Apps -- 9.4 Conclusion -- References -- Acronyms and Glossary -- Acronyms -- Glossary of Terms -- 10 Fall Detection and Motion Classi cation by Using Decision Tree on Mobile Phone -- 10.1 Introduction -- 10.2 Background -- 10.3 Problem De nition -- 10.3.1 Research Methods -- 10.3.2 Signal Processing -- 10.4 Proposal Approach -- 10.4.1 Features of Six Falling Movements -- 10.4.2 Classi ers -- 10.4.3 Our Classi cation Tool -- 10.5 Evaluation -- 10.5.1 Ceiling Effect -- 10.5.2 Evaluation Criteria -- 10.5.3 Signal Analysis -- 10.6 Conclusions and Discussion 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 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 6.4 The Proposed Architecture -- 6.4.1 The Import Component -- 6.4.2 The Access Component -- 6.4.3 The Database Representation Component -- 6.5 The Databases -- 6.5.1 The Relational Database Model -- 6.5.1.1 The H2 Schema -- 6.5.2 The NoSQL Data Management Model -- 6.5.2.1 The Cassandra Schema -- 6.6 Preliminary Experimental Results -- 6.6.1 Performance of Data Insertion -- 6.6.2 Data Extraction Performance -- 6.7 Conclusions and Lesson Learned -- Acknowledgments -- References -- Acronyms and Glossary -- List of acronyms with explanation -- Glossary of terms with explanation -- 7 Bounded Error Data Compression and Aggregation in Wireless Sensor Networks -- 7.1 Introduction -- 7.2 Background and Literature Review -- 7.3 The Proposed Approach -- 7.4 Performance Evaluation -- 7.5 Conclusion and Future Works -- References -- Acronyms and Glossary -- List of acronyms with explanation -- Glossary of terms with explanation -- 8 Application of Data Analysis in Wellness and Health Sensor Network Environment -- 8.1 Introduction -- 8.1.1 Background -- 8.1.2 Problem Statement -- 8.1.3 Research Contributions -- 8.1.4 Article Outline -- 8.2 Literature Review -- 8.2.1 Introduction -- 8.2.2 De nition of Health Care -- 8.2.3 Wellness and Health Sensor Network Systems -- 8.2.4 Components of WHSNS -- 8.2.4.1 Physical Sensing Components -- 8.2.4.2 Communication System Components -- 8.2.4.3 Data Analysis Component -- 8.2.5 Review of Methodologies on Health Analysis and Prediction -- 8.2.6 Advantages and Current Limitations of the WHSNS -- 8.3 Deployment of the Wellness and Health Sensor Network Systems -- 8.3.1 Introduction -- 8.3.2 Brief Description of WHSNS -- 8.3.3 Application of WHSNS in Wellness and Health Sensing -- 8.3.3.1 Environment Parameter Sensing Systems and Their Control -- 8.3.3.2 Contact Sensing Systems and Their Control

Smart Sensors Networks: Communication Technologies and Intelligent Applications explores the latest sensor and sensor networks techniques and applications, showing how networked wireless sensors are used to monitor and gather intelligence from our surrounding environment.

It provides a systematic look at the unique characteristics of wireless sensor networks through their usage in a broad range of areas, including healthcare for the elderly, energy consumption, industrial automation, intelligent transportation systems, smart homes and cities, and more.

The book shows how sensor-networks work and how they are applied to monitor our surrounding environment. It explores the most important aspects of modern sensors technologies, providing insights on the newest technologies and the systems needed to operate them.

Readers will find the book to be an entry point for understanding the fundamental differences between the various sensor technologies and their use in for different scenarios.

Indexing: The books of this series are submitted to EI-Compendex and SCOPUS

• Presents numerous specific use-cases throughout, showing practical applications of concepts
• Contains contributions from leading experts around the globe
• Collects, in one place, the latest thinking on an emerging topic
• Addresses the security and privacy issues inherent in sensor deployment

Annotation Smart Sensors Networks: Communication Technologies and Intelligent Applications explores the latest sensor and sensor networks techniques and applications, showing how networked wireless sensors are used to monitor and gather intelligence from our surrounding environment. It provides a systematic look at the unique characteristics of wireless sensor networks through their usage in a broad range of areas, including healthcare for the elderly, energy consumption, industrial automation, intelligent transportation systems, smart homes and cities, and more. The book shows how sensor-networks work and how they are applied to monitor our surrounding environment. It explores the most important aspects of modern sensors technologies, providing insights on the newest technologies and the systems needed to operate them. Readers will find the book to be an entry point for understanding the fundamental differences between the various sensor technologies and their use in for different scenarios. Indexing: The books of this series are submitted to EI-Compendex and SCOPUS Presents numerous specific use-cases throughout, showing practical applications of conceptsContains contributions from leading experts around the globeCollects, in one place, the latest thinking on an emerging topicAddresses the security and privacy issues inherent in sensor deployment