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Intro; Preface; Contents; Internet of Things (IoT) Infrastructures for Smart Cities; 1 IoT and Smart Cities: An Introduction; 2 Background; 2.1 Current trends in Internet of Things for Smart Cities; 2.2 Smart City Applications Around the World; 2.2.1 Smart Mobility Projects; 2.2.2 Smart Sustainability Projects; 2.2.3 Smart Living Projects; 3 Sensing Architectures for Smart Cities; 4 Smart City Enabling Wireless Communication Technologies; 4.1 Short-range Communications; 4.2 Medium-range Communications; 4.2.1 802.15.4-based Technologies; 4.2.2 WiFi; 4.2.3 Bluetooth Low Energy (BLE).
4.3 Long-range Communications4.3.1 LoRaWAN; 4.3.2 Sigfox; 4.4 Open Issues; 5 Data Security in Smart Cities; 5.1 Examples of IoT Security Vulnerabilities in Smart Cities; 5.2 IoT Security Threats, Countermeasures and Research Issues; 5.2.1 IoT Security Threats; 5.2.2 Countermeasures and Research Issues; 6 Conclusion; References; The Role of 5G and IoT in Smart Cities; 1 Introduction; 2 Smart Cities; 3 Internet of Things and Wireless Sensor Networks; 4 5G Networks; 5 Role of 5G in IoT; 6 The Role of 5G and IoT in Smart Cities; 7 Conclusions and Future Directions; References.
Leveraging Cloud Computing and Sensor-Based Devicesin the Operation and Management of Smart Systems1 Introduction; 2 Cloud Computing; 3 Unification of Resources; 3.1 Cloud-Based Middleware for Sensor Equipped Bridges; 3.2 Cloud-Based Platform for Research Collaboration; 4 Data Analytics Platforms and Resource Management; 4.1 MapReduce/Hadoop; 4.1.1 Closed Systems; 4.1.2 Open Systems; 4.1.3 Energy Aware Resource Management; 4.2 Streaming Data Analytics; 5 Information Dissemination and Control for Smart Applications; 5.1 Museum Tour Guide System; 5.2 Restaurant Management System.
6 Summary and ConclusionsReferences; Mobile Computing, IoT and Big Data for Urban Informatics: Challenges and Opportunities; 1 Introduction; 2 Infrastructure and Frameworks for Smart City Management; 3 Systems and Approaches for Facilitating Smart City Applications; 3.1 Transportation; 3.1.1 Sensing Road Conditions; 3.1.2 Facilitating Traffic Navigation and Parking; 3.2 Waste Management and Environmental Monitoring; 3.3 IoT Technology and Retail Industry; 3.3.1 Discussion and Insights; 4 Incentive-Based Mobile and IoT Data Collection and Management.
4.1 Incentive-Based Practical Infrastructure for Mobile Crowdsensing4.2 Security and Privacy of Incentive Mechanisms for Mobile Crowdsensing; 4.3 Energy-Efficient Incentive Mechanisms for Mobile Crowdsensing; 4.4 Game Theory and Behavioral Economics for Incentive Mechanism Design; 4.5 Data-Driven Incentive Mechanisms for Mobile Crowdsensing; 4.5.1 Discussion and Insights; 5 Big Data Management and Analytics for IoT Applications; 6 Knowledge Management for IoT Applications; 6.1 Background on RDF and SPARQL; 6.2 SPARQL Query Processing on RDF Triples; 6.3 RDF Quads for IoT Applications; IOT Security and Privacy.
4.3 Long-range Communications4.3.1 LoRaWAN; 4.3.2 Sigfox; 4.4 Open Issues; 5 Data Security in Smart Cities; 5.1 Examples of IoT Security Vulnerabilities in Smart Cities; 5.2 IoT Security Threats, Countermeasures and Research Issues; 5.2.1 IoT Security Threats; 5.2.2 Countermeasures and Research Issues; 6 Conclusion; References; The Role of 5G and IoT in Smart Cities; 1 Introduction; 2 Smart Cities; 3 Internet of Things and Wireless Sensor Networks; 4 5G Networks; 5 Role of 5G in IoT; 6 The Role of 5G and IoT in Smart Cities; 7 Conclusions and Future Directions; References.
Leveraging Cloud Computing and Sensor-Based Devicesin the Operation and Management of Smart Systems1 Introduction; 2 Cloud Computing; 3 Unification of Resources; 3.1 Cloud-Based Middleware for Sensor Equipped Bridges; 3.2 Cloud-Based Platform for Research Collaboration; 4 Data Analytics Platforms and Resource Management; 4.1 MapReduce/Hadoop; 4.1.1 Closed Systems; 4.1.2 Open Systems; 4.1.3 Energy Aware Resource Management; 4.2 Streaming Data Analytics; 5 Information Dissemination and Control for Smart Applications; 5.1 Museum Tour Guide System; 5.2 Restaurant Management System.
6 Summary and ConclusionsReferences; Mobile Computing, IoT and Big Data for Urban Informatics: Challenges and Opportunities; 1 Introduction; 2 Infrastructure and Frameworks for Smart City Management; 3 Systems and Approaches for Facilitating Smart City Applications; 3.1 Transportation; 3.1.1 Sensing Road Conditions; 3.1.2 Facilitating Traffic Navigation and Parking; 3.2 Waste Management and Environmental Monitoring; 3.3 IoT Technology and Retail Industry; 3.3.1 Discussion and Insights; 4 Incentive-Based Mobile and IoT Data Collection and Management.
4.1 Incentive-Based Practical Infrastructure for Mobile Crowdsensing4.2 Security and Privacy of Incentive Mechanisms for Mobile Crowdsensing; 4.3 Energy-Efficient Incentive Mechanisms for Mobile Crowdsensing; 4.4 Game Theory and Behavioral Economics for Incentive Mechanism Design; 4.5 Data-Driven Incentive Mechanisms for Mobile Crowdsensing; 4.5.1 Discussion and Insights; 5 Big Data Management and Analytics for IoT Applications; 6 Knowledge Management for IoT Applications; 6.1 Background on RDF and SPARQL; 6.2 SPARQL Query Processing on RDF Triples; 6.3 RDF Quads for IoT Applications; IOT Security and Privacy.