From internet of things to smart cities: enabling technologies
Gespeichert in:
| Weitere beteiligte Personen: | , , |
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| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
Boca Raton ; London ; New York
CRC Press
[2018]
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| Schriftenreihe: | Chapman & Hall/CRC computer and information science series
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| Schlagwörter: | |
| Links: | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030338167&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| Beschreibung: | Includes bibliographical references |
| Umfang: | xix, 410 Seiten Illustrationen, Diagramme 27 cm |
| ISBN: | 9781498773782 |
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Contents Preface xix Section I From Machine-to-Machine Communications to Internet of Things Chapter 1 ■ From Machine-to-Machine Communications to Internet of Things: Enabling Communication Technologies Hamidreza Shariatmadari, Sassan Iraji, 3 and Riku Jäntti 1.1 INTRODUCTION 4 1.2 loT APPLICATIONS AND THEIR REQUIREMENTS 4 1.3 loT CONNECTIVITY LANDSCAPE 6 1.3.1 IEEE 802.15.4 7 1.3.2 WiFi 11 1.3.3 Bluetooth 12 1.3.4 RFID and Ambient Backscattering 14 1.3.5 Dedicated Short Range Communications 15 1.3.6 Low Power Wide Area Network 16 1.3.7 Cellular Systems 18 1.4 1.5 CHALLENGES AND SOLUTIONS FOR CONNECTIVITY IN 5G ERA 1.4.1 Low-power Consumption 21 1.4.2 Enhanced Coverage 22 1.4.3 Ultra-reliable Low-latency Communications 23 1.4.4 Massive Number of Devices 26 1.4.5 Handling Small Bursts of Data 27 CONCLUSIONS BIBLIOGRAPHY Chapter 21 2 ■ Power Control for Reliable M2M Communication 28 30 35 Ling Wang and Hongwei Zhang 2.1 INTRODUCTION 36 ix
x ■ Contents 2.2 2.3 2.4 2.1.1 History of Power Control in Cellular Networks 36 2.1.2 Objectives 38 2.1.3 Organization 39 M2M COMMUNICATION SYSTEMS 39 2.2.1 Co-channel Interference and Network Architecture 39 2.2.2 SINR Model and Link Reliability 40 2.2.3 Channel Dynamics and Statistical Models 42 2.2.4 Multiscale and Instantaneous Characteristics 45 POWER CONTROL THEORY 47 2.3.1 Feasible and optimal power control 48 2.3.2 Infeasibility of power control 49 POWER CONTROL APPROACHES FOR CONSTANT AND FADING CHANNELS 50 2.4.1 Conflict Graph-based Power Control for Constant Channels 50 2.4.2 Geometric Programming-based Power Control for Fading Channels 51 DISCUSSION ON ADAPTIVE POWER CONTROL FOR M2M COM MUNICATION SYSTEMS 52 2.6 EXTENSIVE STUDIES ON POWER CONTROL 54 2.7 OPEN CHALLENGES AND EMERGING TRENDS 57 2.5 BIBLIOGRAPHY Chapter 3■ 58 Enabling Geo-centric Communication Technologies in Oppor tunistic Networks 61 Yue Cao, De Mi, Tong Wang, and Lei Zhang 3.1 INTRODUCTION 62 3.2 BACKGROUND 63 3.2.1 Opportunistic Networks (ONs) 63 3.2.2 Applications of ONs in Smart Cities 63 3.2.2.1 Vehicular Ad Hoc NETworks (VANETs) 63 3.2.2.2 Airborne Networks (ANs) 65 3.2.2.3 Mobile Social Networks (MSNs) 65 3.2.2.4 UnderWater Sensor Networks (UWSNs) 65 3.3 MOTIVATION AND CHALLENGES FOR GEOGRAPHIC ROUTING IN ONS 66 3.3.1 Geo-centric Technologies in Smart Cities 66 3.3.2 Introduction on Geographic Routing 66
Contents ■ xi 3.4 3.3.3 Motivation for Geographic Routing in ONs 66 3.3.4 Challenges for Geographic Routing in ONs 67 TAXONOMY AND REVIEW OF GEOGRAPHICROUTING IN ONS 70 3.4.1 Destination Unawareness Class 71 3.4.2 Destination Awareness Class 72 3.4.2.1 Stationary Destination 72 3.4.2.2 Considering Mobile Destination via Real-time Ge ographic Information 76 Considering Mobile Destination via Historical Ge ographic Information 76 3.4.2.3 3.4.3 Hybrid Class 78 3.5 COMPARISON AND ANALYSIS 79 3.6 FUTURE DIRECTIONS 81 3.7 CONCLUSION 83 BIBLIOGRAPHY Chapter 4 ■ Routing Protocol for Low Power and Lossy loT Networks 83 89 Xiyuan Liu, Zhengguo Sheng, and Changchuan Yin 4.1 INTRODUCTION 90 4.2 RPL: AN OVERVIEW AND ITS KEY MECHANISMS 91 4.2.1 Routing Mechanism of RPL 91 4.2.2 Message Control Mechanism of RPL 92 4.2.3 RPL and Its Counterparts 94 RPL TOPOLOGY GENERATION METHODS 95 4.3.1 Objective Functions and Metrics 95 4.3.2 Multi-parents Consideration 97 4.3 4.4 RPL APPLICATIONS 98 4.4.1 RPL Application Overview 98 4.4.2 Application Scenarios 99 4.5 SECURITY ISSUES IN RPL 100 4.6 RPL PERFORMANCE EVALUATION IN LARGE-SCALE NETWORKS 103 4.6.1 Simulation Platforms 103 4.6.2 Framework Integration for OMNeT++ 103 4.6.3 Configuration Details 105 4.6.4 Simulation of Cross-layer RPL Routing 107 4.7 CHALLENGES AND PROSPECT 111 4.8 CONCLUSION 113
xii ■ Contents BIBLIOGRAPHY Chapter 113 5 ■ Resource Allocation for Wireless Communication Networks with RF Energy Harvesting 119 Elena Boshkovska, Derrick Wing Kwan Ng, and Robert Schober 5.1 INTRODUCTION 120 5.2 RECEIVER STRUCTURE 122 5.3 SWIPT COMMUNICATION NETWORKS 123 5.4 5.3.1 Channel Model 5.3.2 Non-linear Energy Harvesting Model 123 124 5.3.3 Channel State Information 127 5.3.4 Achievable System Data Rate 128 5.3.5 Problem Formulation and Solution 128 5.3.6 Numerical Example 132 WIRELESS POWERED COMMUNICATION NETWORKS 133 5.4.1 Channel Model 134 5.4.2 Problem Formulation and Solution 136 5.4.3 Numerical Example 138 5.5 CONCLUSION 140 5.6 APPENDIX 141 5.6.1 141 Proof of Theorem 1 BIBLIOGRAPHY Section Chapter 143 II Data Era: Data Analytics and Security 6 ■ Distributed Machine Learning in Big Data Era for Smart City 151 Yuan Zuo, Yulei Wu, Geyong Min, Chengqiang Huang, and Xing Zhang 6.1 INTRODUCTION 152 6.2 THE STOCHASTIC GRADIENT DESCENT (SGD) IN PARALLELIZA TION 155 6.2.1 Parallelized SGD Based on MapReduce 157 6.2.2 Online SGD in Round-robin 157 6.2.3 HOGWILD! for “Lock-free” 158 6.2.4 AsySVRG for asynchronous SGD Variant 159 6.2.5 ASGD with Single-sided Communication 160 6.3 THE NEWTON METHOD IN PARALLELIZATION 6.3.1 A truncated Newton Method: The Trust Region Newton Method (TRON) 160 162
Contents Ш xiii 6.3.2 The Distributed TRON Based on Spark and MPI 163 6.3.3 6.3.4 General Distributed Implementation of TRON Matrix-vector Product Improvement for Inner Mechanism 163 164 6.4 THE PETUUM FRAMEWORK 164 6.5 THE CONVEX OPTIMIZATION DECOMPOSITIONMETHOD 166 6.5.1 An Implementation Example of ADMM 168 6.5.2 Other Work Relevant to Decomposition 169 6.6 SOME OTHER RESEARCH RELEVANT TO DISTRIBUTED APPLI CATION 170 6.6.1 Evaluation of Parallel Logistic Regression 170 6.6.2 Conjugate Gradient Optimization 171 6.7 A CASE STUDY 171 6.8 CONCLUSIONS 172 BIBLIOGRAPHY Chapter 172 7 ■ Security in Smart Grids_ 179 Julia Sánchez, Agustín Zaballos, Ramon Martin and Aun 7.1 7.2 7.3 de Pozuelo, Guiomar Corral, Briones INTRODUCTION TO CYBERSECURITY 181 7.1.1 Key Security Aspects for Any System 181 7.1.2 Network Vulnerability Assessment 183 7.1.2.1 Security Vulnerabilities 183 7.1.2.2 Security Policies and Standards 184 7.1.2.3 Security Methodologies and Procedures 186 7.1.2.4 Security Assessments 187 7.1.2.5 Network Security Testing Tools 187 7.1.2.6 Summary 188 AUTOMATED SECURITY ASSESSMENT 189 7.2.1 Global Architecture of an Automated Security Assessment 189 7.2.1.1 Base System Module 190 7.2.1.2 Management Module 190 7.2.1.3 Analysis Module 191 7.2.1.4 Testing Modules 192 7.2.2 The Communications Protocol 192 7.2.3 Other Considerations 193 SECURITY CONCERNS, TRENDS AND REQUIREMENTS IN SMART GRIDS 194
xiv ■ Contents 7.4 7.3.1 Requirements of the Smart Grid 196 7.3.2 Smart Grid Security Requirements Definition 197 SECURITY IN A CLOUD INFRASTRUCTURE AND SERVICES FOR SMART GRIDS 7.4.1 7.4.2 7.4.3 200 Security Concerns and Requirements ina Cloud Environment 200 7.4.1.1 Security Threats 202 7.4.1.2 Security Issues 202 7.4.1.3 Security Requirements 204 Use Case Analysis—FINESCE Cloud for Smart Grid Distri bution 205 7.4.2.1 205 Use Case Description 7.4.2.2 Security Requirements Analysis 207 7.4.2.3 Security Audit 208 Summary 209 7.5 THE SMART GRID AS AN loT 210 7.6 TOWARDS A SECURE AND SUSTAINABLE SMART GRID MANAGEMENT 212 7.6.1 A Sustainable Smart Grid Management 212 7.6.2 Software-Defined Network 213 7.6.3 Service Composition Paradigm 213 7.6.4 The Proof of Concept: A First Approach to Orchestrate Se cured Smart Metering 214 7.7 CONCLUSIONS 218 7.8 ACKNOWLEDGEMENTS 219 BIBLIOGRAPHY Chapter 219 8 ■ Secret Key Generation under Active Attacks_ 227 Wenwen Tu and Lifeng Lai 8.1 INTRODUCTION 228 8.2 BASIC MODELS FOR KEY GENERATION WITH A PASSIVE ADVERSARY 231 8.2.1 Key Generation with Side Information at the Adversary 231 8.2.2 Key Generation with a Helper 233 8.2.3 Basic Model for Key Generation in Wireless Setting 234 KEY GENERATION WITH PUBLIC DISCUSSION ATTACKED 235 8.3.1 Model Modification 235 8.3.2 All or Nothing Result 236 8.3.3 Efficiently Checking the Simulatability Condition 238 8.3
Contents 8.4 8.5 ■ XV KEY GENERATION WITH CONTAMINATED SOURCES 239 8.4.1 Two-Way Relay Channel Model 239 8.4.2 Efficiency of the Key Generation Algorithm 241 8.4.3 Attack Strategy and Power Allocation 243 8.4.3.1 Optimal Attack Strategy 243 8.4.3.2 Optimal Attack Power Allocation 245 KEY GENERATION WITH A BYZANTINE HELPER 247 8.5.1 System Model with a Byzantine Helper 247. 8.5.2 Key Generation Scheme against the Byzantine Helper 248 8.5.2.1 249 A Key Generation Scheme Example 8.6 CONCLUSION 251 8.7 ACKNOWLEDGEMENT 251 BIBLIOGRAPHY Section Chapter 251 III Towards Smart World from Interfaces to Homes to Cities 9 ■ Applying Human-Computer Interaction Practices to loT Prototyping Salim Haniff, Markku Turunen, and 257 Roope Raisamo 258 INTRODUCTION 9.1.1 Internet of Things 258 9.1.2 Human-Computer Interaction 259 HCI METHODOLOGY 265 USE CASES 267 9.3.1 9.3.2 9.3.3 Smart Energy Monitoring 267 9.3.1.1 User’s Requirements 267 9.3.1.2 Hardware Implementation 268 9.3.1.3 Software Implementation 270 9.3.1.4 Discussion 273 Smart Lighting 276 9.3.2.1 User’s Requirements 277 9.3.2.2 Hardware Implementation 277 9.3.2.3 Software Implementation 279 9.3.2.4 Discussion 283 Seamless Home Automation 284 9.3.3.1 285 User’s Requirements
xvi ■ Contents 9.4 9.3.3.2 Hardware Implementation 286 9.3.3.3 Software Implementation 287 9.3.3.4 Discussion 289 CONCLUSION BIBLIOGRAPHY Chapter 290 291 10"Inclusive Product Interfaces for the Future: Automotive, Aerospace, loT and Inclusion Design Patrick 10.1 Langdon THE BACKGROUND TO THE PROBLEMS 10.1.1 10.2 M. 296 The Ubiquity of IoT Technology, and Importance of Inclusive Design 297 10.1.2 What Is the Need for Inclusion? 298 10.1.3 The Inclusive Design Response 299 10.1.4 Health Induced and Situationally Induced Impairment 299 ADVANCED INTERACTION INTERFACES 300 10.2.1 The State of the Art 301 10.2.2 Solutions and Issues with User Modelling 301 10.3 THE INCLUSIVE ADAPTION APPROACH 302 10.4 CASE STUDY 1 : FUTURE AUTOMOTIVE 303 10.4.1 Key Future HMI Design Elements 304 10.4.2 Visualisation of Key Concepts 307 10.5 10.6 10.7 10.8 CASE STUDY 2: FUTURE AEROSPACE 307 10.5.1 Need for Multimodal Solutions 308 10.5.2 Multimodal Interface Experiments 310 CASE STUDY 3: PREDICTIVE POINTING IN AUTOMOTIVE TOUCH SCREENS 310 CASE STUDY 4: ADAPTIVE MOBILE APPLICATIONS 312 10.7.1 The IU-АТС Project 314 10.7.2 Mobile Interfaces 314 DISCUSSION BIBLIOGRAPHY Chapter 315 317 11 ■ Low Power Wide Area (LPWA) Networks for IoT Applications 323 Kan Zheng, Zhe Yang, Xiong Xiong, and Wei Xiang 11.1 11.2 OVERVIEW ON 5G IoT OVERVIEW ON LOW POWER WIDE AREA NETWORKS (LPWANS) 324 326
Contents ■ xvii 11.3 11.4 11.2.1 Application Scenarios of LPWANs 326 11.2.2 Classification of LPWANs 328 11.2.2.1 LPWAN Based on NB-IoT 329 11.2.2.2 LPWAN Based on IEEE 802.15.4k 335 IMPLEMENTATION OF LPWAN BASED ON IEEE 802.15.4K 11.3.1 Access Point (AP) 339 11.3.2 Devices 340 11.3.3 Experimental Results 342- LPWA-BASED AIR QUALITY MONITORING SYSTEM 343 11.4.1 System Architecture 345 11.4.1.1 Sensing Layer 345 11.4.1.2 Network Layer 347 11.4.1.3 Application Layer 347 Experimental Results and Analysis 348 11.4.2.1 Experimental Configurations 348 11.4.2.2 Results and Analysis 349 11.4.2 11.5 351 CONCLUSION AND OUTLOOK 353 BIBLIOGRAPHY 357 Chapter 12 ■ A Data-centered Fog Platform for Smart Living Jianhua 12.1 12.2 12.3 339 Li, Jiong Jin, Dong Yuan, Marimuthu Palaniswami, and Klaus Moessner INTRODUCTION 358 12.1.1 Smart City 358 12.1.2 Internet of Things 360 12.1.3 Smart Living 362 12.1.4 Ad Hoc IoT 362 12.1.5 Gateway or Proxy Based IoT 363 12.1.6 Cloud Computing Based IoT 364 12.1.7 Fog Computing 364 EHOPES ELEMENTS AND DATAFLOW 366 12.2.1 EHOPES and Dataflow 366 12.2.2 Summary 368 FOG PLATFORM FOR EHOPES 369 12.3.1 State of the Art 369 12.3.2 Fog Edge Node (FEN) 369 12.3.3 Fog Server (FS) 370 12.3.4 Foglet (Middleware) 371
xviii ■ Contents 12.4 12.5 CASE STUDY AND EVALUATION 371 12.4.1 The Scenario 371 12.4.2 The Simulation 373 12.4.3 Simulation Results 374 CONCLUSION 375 BIBLIOGRAPHY Chapter 375 13 ■ Resources and Practical Factors in Smart Home and City Bo Tan, Liu Tao, 379 and Ni Zhu 13.1 INTRODUCTION 380 13.2 NOVEL USAGE OF RADIO RESOURCES 380 13.2.1 Current Situation and Challenges 380 13.2.2 Use of OutdoorRadio Signals 381 13.2.3 Use of Indoor Signals 383 13.2.4 The Trend 385 13.3 13.4 VIDEO RESOURCES 386 13.3.1 Introduction 386 13.3.2 Applications and Current Systems 387 13.3.3 Future Trends 389 PRACTICAL CONSIDERATIONS 390 13.4.1 Pervasive Sensing 390 13.4.2 Smart Cities in Reality 391 BIBLIOGRAPHY Index 393 399 |
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| isbn | 9781498773782 |
| language | English |
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| spelling | From internet of things to smart cities enabling technologies edited by Hongjian Sun (Durham University, UK), Chao Wang (Tongji University, Shanghai, China), Bashar I. Ahmad (University of Cambridge, UK) Boca Raton ; London ; New York CRC Press [2018] xix, 410 Seiten Illustrationen, Diagramme 27 cm txt rdacontent n rdamedia nc rdacarrier Chapman & Hall/CRC computer and information science series Includes bibliographical references Internet of things Adaptive computing systems High technology Smart City (DE-588)1061057097 gnd rswk-swf Internet der Dinge (DE-588)7713781-4 gnd rswk-swf Internet der Dinge (DE-588)7713781-4 s Smart City (DE-588)1061057097 s DE-604 Sun, Hongjian edt Wang, Chao edt Ahmad, Bashar I. edt Digitalisierung UB Passau - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030338167&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | From internet of things to smart cities enabling technologies Internet of things Adaptive computing systems High technology Smart City (DE-588)1061057097 gnd Internet der Dinge (DE-588)7713781-4 gnd |
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| title | From internet of things to smart cities enabling technologies |
| title_auth | From internet of things to smart cities enabling technologies |
| title_exact_search | From internet of things to smart cities enabling technologies |
| title_full | From internet of things to smart cities enabling technologies edited by Hongjian Sun (Durham University, UK), Chao Wang (Tongji University, Shanghai, China), Bashar I. Ahmad (University of Cambridge, UK) |
| title_fullStr | From internet of things to smart cities enabling technologies edited by Hongjian Sun (Durham University, UK), Chao Wang (Tongji University, Shanghai, China), Bashar I. Ahmad (University of Cambridge, UK) |
| title_full_unstemmed | From internet of things to smart cities enabling technologies edited by Hongjian Sun (Durham University, UK), Chao Wang (Tongji University, Shanghai, China), Bashar I. Ahmad (University of Cambridge, UK) |
| title_short | From internet of things to smart cities |
| title_sort | from internet of things to smart cities enabling technologies |
| title_sub | enabling technologies |
| topic | Internet of things Adaptive computing systems High technology Smart City (DE-588)1061057097 gnd Internet der Dinge (DE-588)7713781-4 gnd |
| topic_facet | Internet of things Adaptive computing systems High technology Smart City Internet der Dinge |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030338167&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT sunhongjian frominternetofthingstosmartcitiesenablingtechnologies AT wangchao frominternetofthingstosmartcitiesenablingtechnologies AT ahmadbashari frominternetofthingstosmartcitiesenablingtechnologies |