Challenges of the Internet of Things

This book will examine the issues of IoT according to three complementary axes: technique, use, ethics. The techniques used to produce artefacts (physical objects, infrastructures), programs (algorithms, software) and data (Big data, linked data, metadata, ontologies) are the subject of many innovations as the field of IoT is rich and stimulating. Along with this technological boom, IoT uses colonize new fields of application in the fields of transport, administration, housing, maintenance, health, sports, well-being. ... Privileged interface with digital ecosystems now at the heart of social exchanges, the IoT develops a power to act whose consequences both good and bad make it difficult to assess a fair business.

Autorentext

Imad Saleh, Paris 8 University, France.

Mehdi Ammi, Paris 8 University, France.

Samuel Szoniecky, Associate Professors at Laboratoire Paragraphe, Université Paris 8, France.

Inhalt

Introduction xi
Imad Saleh, Mehdi Ammi and Samuel Szoniecky

Chapter 1 Internet of Things (IoT): Concepts, Issues, Challenges and Perspectives **1
**Imad Saleh

1.1 Introduction 1

1.2 The connected object (CO) 2

1.3 Internet of Things: definition 3

1.3.1 Applications 5

1.4 Steps and technologies in the IoT ecosystem 5

1.4.1 IoT architecture 6

1.5 From the IoT to the Internet of Everything (IoE) 9

1.6 IoT and Big Data 10

1.7 Cloud computing applied to Big Data and the IoT 13

1.8 Data science and the IoT 13

1.9 Stakes and challenges of the IoT 14

1.9.1 Technological challenges 14

1.9.2 Societal challenges 15

1.9.3 Environmental challenges 16

1.9.4 Confidence in the IoT 16

1.9.5 Challenges for businesses 16

1.9.6 Challenges for researchers 17

1.10 Opportunities and threats in the IoT ecosystem 17

1.11 IoT security 18

1.12 Blockchain and the IoT 20

1.12.1 Definition 20

1.12.2 Operation 20

1.12.3 Applications 22

1.13 Conclusion 22

1.14 References 24

Chapter 2 Deep Learning Approach of Raw Human Activity Data **27
**Hamdi Amroun, M'Hamed (Hamy) Temkit and Mehdi Ammi

2.1 Introduction 27

2.2 State of the art 29

2.3 Experimental configuration 33

2.4 Analysis of the activity 34

2.4.1 Neural network architecture 34

2.5 Results 41

2.6 Discussion 42

2.7 Conclusion 44

2.8 References 44

Chapter 3 Study and Development of a Smart Cup for Monitoring Post-stroke Patients Activities at Home **53
**Mehdi Ammi, Mehdi Boukallel, Margarita Anastassova, Hamdi Amroun and Maxence Bobin

3.1 Introduction 53

3.2 Related work 55

3.2.1 Upper limbs motor assessment tools 55

3.2.2 New platforms for stroke assessment 56

3.2.3 Activity analysis and monitoring 56

3.2.4 Tasks and rehabilitation exercises for strokes 57

3.3 Design concept 58

3.3.1 Task identification 58

3.3.2 Monitored information 59

3.3.3 Sensory feedback 61

3.4 Implementation of the prototype 61

3.4.1 Grasping force detection 62

3.4.2 Liquid level detection 62

3.4.3 Orientation detection 63

3.4.4 Relative position detection 63

3.5 Data processing 64

3.5.1 Orientation calculation 64

3.5.2 Tremor detection 65

3.5.3 Activity recognition 67

3.6 Planned studies 72

3.6.1 Studies with therapists 72

3.6.2 Studies with patients 72

3.7 Conclusion and perspectives 72

3.8 References 73

Chapter 4 Enabling Fast-prototyping of Connected Things using the WiNo* Family **77
**Adrien Van Den Bossche, Réjane Dalcé and Thierry Val

4.1 Introduction 77

4.2 Context 79

4.3 State of the art 80

4.4 Introducing the WiNo* family 85

4.4.1 WiNoRF22 and TeensyWiNo 87

4.4.2 WiNoLoRa 89

4.4.3 DecaWiNo 90

4.4.4 Summary of WiNo nodes 92

4.5 Results and examples of use 93

4.5.1 WiNo and TeensyWiNo 93

4.5.2 WiNoLoRa 97

4.5.3 DecaWiNo 98

4.5.4 Summary and comparative analysis 99

4.6 Conclusion and outlook 100

4.7 Acknowledgments 101

4.8 References 101

Chapter 5 Multi-standard Receiver for Medical IoT Sensor Networks **105
**Tarak Arbi and Benoit Geller

5.1 Introduction 105

5.2 General context 106

5.2.1 OFDM 106

5.2.2 Characteristics of IEEE 802.11a/b/g/n/ac standards 107 5.3 The IEEE 802.15.6 st...