Designing a Smart e-Bike Eco-System

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Table of contents

1 Introduction 
2 Smart Mobility and Sensing: case studies based on a Bike Information Gathering Architecture 
2.1 Introduction
2.2 Cloud Architecture
2.3 Personas
2.4 Travel scenarios
2.5 Conclusions
3 Canarin II: Designing a Smart e-Bike Eco-System 
3.1 Introduction
3.2 Background and Related Work
3.3 Design Issues
3.3.1 Health
3.3.2 Wellness
3.3.3 Safeness
3.4 Our Prototype Architecture
3.5 Prototype Presentation
3.6 Conclusions
4 Canarin Nano: a wearable pollution monitor for the allergic rhinitis and sleep quality case study 
4.1 The context: the POLLAR clinical study
4.2 Design
4.2.1 Particle Electron
4.2.2 Remote control
4.3 Implementation
4.3.1 Server side and frontend
4.3.2 Hardware design
5 Monitoring cultural heritage buildings via low-cost edge computing/sensing platforms: the Biblioteca Joanina de Coimbra case study 
5.1 Introduction
5.2 The spatial context
5.3 Monitoring Campaign
5.4 Architecture
5.5 Preliminary data analysis
5.6 2020 Updates
5.7 Final remarks
6 On Assessing the Accuracy of Air Pollution Models Exploiting a Strategic Sensors Deployment 
6.1 Introduction
6.2 Air pollution models assessment
6.3 The spatial context
6.4 The sensors station
6.5 The sensors deployment
6.6 Conclusion and future works
7 Over The Air EV monitoring and analytics: the Nissan Leaf case 
7.1 The CAN Protocol
7.1.1 OBD-II: on-board diagnostic
7.2 Energy consumption compaign
7.3 CAN variables from the Nissan Leaf 2018
7.3.1 Vehicle Control Module (VCM)
7.3.2 Body Control Module (BCM)
7.3.3 Li-Ion Battery Controller (LBC)
7.3.4 Antilock Braking System (ABS)
7.3.5 Traction Motor Inverter (TMI)
7.3.6 Meter
7.3.7 Heating, Ventilation and Air Conditioning (HVAC)
7.4 Evaluation
7.4.1 Experimental setup
7.4.2 Data analysis
8 X-Fi: Revisiting WiFi Ooading in the Wild for V2I Applications
8.1 Introduction
8.2 Related Work
8.3 System Overview
8.3.1 X-Fi: connecting a moving vehicle to commercial WiFi hotspots
8.3.2 X-Perf : measuring intermittent connectivity
8.4 Measurement Methodology
8.4.1 Experimental Setup
8.4.2 Connectivity Metrics
8.4.3 Network Performance Metrics
8.5 Data Collection
8.5.1 Dataset Summary
8.6 Micro Benchmarks
8.6.1 WiFi association time
8.6.2 Time until IP address acquisition
8.6.3 Link-layer connectivity duration
8.6.4 IP connectivity duration
8.6.5 Connectivity Holes
8.6.6 IP Address Roaming Support
8.6.7 Impact of Speed, ISS, and frequency
8.7 Network Performance Analysis
8.7.1 Time until the rst TCP ACK
8.7.2 TCP connectivity duration
8.7.3 TCP connectivity holes
8.7.4 Average TCP goodput
8.7.5 Data volume
8.8 Discussion and Final Remarks
8.9 X-Fi implementation details
8.9.1 X-Fi orchestrator role
8.10 X-Perf Implementation details
9 C-Continuum 
9.1 Background
9.2 System design
9.2.1 Overview
9.2.2 Architecture
9.2.3 Naming
9.2.4 Caching
9.2.5 Security
10 Conclusions