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E-raamat: Towards Future Technologies for Business Ecosystem Innovation

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Towards Future Technologies for Business Ecosystem Innovation describes CONASENSE within the broad platform of the CTIF Global Capsule (CGC) covering future technologies and its enablers, smart cities, telemedicine, crowd computing, satellite, unmanned air vehicles, cooperative wireless sensor network, remotely piloted aircraft systems, network neutrality, as well as the virtual business model.
Preface xi
List of Figures xiii
List of Tables xv
1 The Enablers of Future Wireless Ecosystem 1(20)
Vandana Rohokale
Ramjee Prasad
1.1 Introduction
1(9)
1.2 Evolution of Wireless Communication
3(1)
1.2.1 First Generation (1G) of Mobile Communication
4(1)
1.2.2 Second Generation (2G) Cellular Communication
5(1)
1.2.3 Third Generation (3G) of Mobile Communication
6(2)
1.2.4 Fourth Generation (4G) of Mobile Communication
8(1)
1.2.5 Fifth Generation (5G) of Mobile Communication
9(1)
1.3 FWE Enablers
10(3)
1.3.1 IoT and M2M
11(1)
1.3.2 Visible Light Communication
12(1)
1.3.3 Intelligent Transportation System (ITS)
12(1)
1.3.4 Introduction of Intelligence in Wireless Networks
13(1)
1.4 Segmentation Strategy for FWE
13(1)
1.5 Threats to Future Wireless Ecosystem
14(1)
1.6 Usable Security and Privacy
15(1)
1.7 Summary
16(1)
References
16(3)
Biographies
19(2)
2 Wireless Access in Future Smart Cities and Data Driven Business Opportunities 21(20)
Vladimir Poulkov
2.1 Introduction
22(1)
2.2 The Unified Wireless Access for Future Smart Cities
23(5)
2.3 Performance of the UWA as a Cyber Physical System and the Data in the Cloud
28(5)
2.4 The UWA as Enabler of New Data Driven Business Models in SC
33(1)
2.5 Conclusion
34(1)
References
35(5)
Biography
40(1)
3 5G and Telemedicine: A Business Ecosystem Relationship within CONASENSE Paradigm 41(20)
Ambuj Kumar
Sadia Anwar
Ramjee Prasad
3.1 Introduction
42(1)
3.2 Important Attributes of 5G In Relation to Telemedicine
43(2)
3.2.1 Some of the Important Attributes Concerning 5G Are as Follows
44(1)
3.3 Research Challenges
45(6)
3.3.1 Bandwidth Requirements for Offloading Medical Services and Applications
45(3)
3.3.2 Reliability and Availability Requirements
48(1)
3.3.3 Standards and Security
48(3)
3.3.3.1 Minimum delay require for delay application services
49(1)
3.3.3.2 Bandwidth requirement for video based application
50(1)
3.3.3.3 Security requirement and data encryption
50(1)
3.4 Business Ecosystem Paradigm in Relation to the Integration of Communication, Navigation, Sensing and Services
51(4)
3.4.1 Value Proposition
53(1)
3.4.2 Users and Customers
53(1)
3.4.3 Networks
53(1)
3.4.4 Competences
54(1)
3.4.5 Value Chain Function
54(1)
3.4.6 Value Formula
54(1)
3.4.7 Relations
55(1)
3.5 Conclusion
55(1)
References
55(2)
Biographies
57(4)
4 Radios for Crowd Counting Applications 61(16)
Ernestina Cianca
Simone Di Domenico
Mauro De Sanctis
Tommaso Rossi
4.1 Introduction
61(2)
4.2 Shopping Analytics
63(1)
4.3 Applications Requirements
64(1)
4.4 Traditional and Novel Approaches for Crowd Counting
64(2)
4.4.1 Vision-based
64(1)
4.4.2 Sensors-based
64(1)
4.4.3 Device-based Solutions
64(1)
4.4.4 Device-free Solutions
65(1)
4.5 Device-free Approaches Using Signals of Opportunity
66(3)
4.6 Future Perspectives and Conclusions
69(1)
References
70(3)
Biographies
73(4)
5 Applications of CONASENSE 77(16)
Sriganesh K. Rao
Ramjee Prasad
5.1 Introduction
77(1)
5.2 Role of Satellites in CONASENSE
78(2)
5.3 Role of Unmanned Air Vehicles (Drones) in CONASENSE
80(3)
5.3.1 Fixed Wing Drones
81(1)
5.3.2 Multi Rotor Drones Are Shown Below
82(1)
5.3.3 Hybrid Drones
83(1)
5.4 Applications of CONASENSE Based on Satellites
83(4)
5.4.1 Disaster Monitoring and Real-Time Management
83(1)
5.4.2 Telemedicine for eHealth
84(1)
5.4.3 Mountain Rescue
84(1)
5.4.4 Maritime Surveillance
84(1)
5.4.5 Road Traffic Optimization
84(1)
5.4.6 Oil Spill
84(1)
5.4.7 Precision Agriculture/Farming
85(1)
5.4.8 Transportation-Fleet Management & Cargo Condition Monitoring
85(1)
5.4.9 Emergency Call
85(1)
5.4.10 Vehicle to Vehicle (V2V) and Vehicle to Infrastructure (V2I)
86(1)
5.4.11 Autonomous Vehicles
86(1)
5.5 Applications of CONASENSE Based on UAVs
87(3)
5.5.1 Inspection and Monitoring
87(1)
5.5.2 Videography/Photography
87(1)
5.5.3 Real Estate
88(1)
5.5.4 Disaster Response
88(1)
5.5.5 Government
88(1)
5.5.6 Environment
88(1)
5.5.7 Agriculture
89(1)
5.5.8 Tourism
89(1)
5.5.9 Utilities/Mining/Oil/Gas
89(1)
5.5.10 Mapping
90(1)
5.6 Conclusions
90(1)
References
91(1)
Biography
91(2)
6 Cooperative Wireless Sensor Networks: A Game Theoretic Approach 93(16)
Homayoun Nikookar
Herman Monsuur
6.1 Introduction
94(1)
6.2 Challenges in WSN
95(3)
6.2.1 Propagation Channel
96(1)
6.2.2 Cognitive WSNs
96(1)
6.2.3 Joint Communication and Sensing in One Technology for WSNs
97(1)
6.2.4 Security of WSNs
98(1)
6.2.5 Cooperative Aspect of WSNs
98(1)
6.3 A Game-Theoretic Framework for WSN
98(7)
6.3.1 Aspect of Game Theory Relevant for Cooperative WSN
99(1)
6.3.2 Technical Welfare
100(1)
6.3.3 Transitions between Partitions
101(1)
6.3.4 Testing Stability; D-Stable Partitions
102(1)
6.3.5 An Illustrative Example (WSN for Intruder Detection Scenario)
103(2)
6.4 Summary
105(1)
References
106(1)
Biographies
107(2)
7 EASY-PV: RPAS Professional Business Application 109(8)
Bilal Muhammad
Ramjee Prasad
7.1 Introduction
109(3)
7.2 EGNSS High Accuracy System for Improving Photovoltaic Plant Maintenance
112(3)
7.2.1 EASY-PV System Architecture
112(1)
7.2.2 EASY-PV System Design
112(2)
7.2.2.1 Service Center
113(1)
7.2.2.2 RPAS
113(1)
7.2.2.3 RPAS Ground Station
114(1)
7.2.3 EASY-PV Users & Customers
114(1)
7.3 Conclusion
115(1)
References
115(1)
Biography
116(1)
8 The Situation of Network Neutrality in Service Innovation Era 117(20)
Yapeng Wang
Ramjee Prasad
8.1 Introduction
117(3)
8.1.1 NN
118(1)
8.1.2 Innovative Services
118(1)
8.1.3 CONASENSE
119(1)
8.2 The Network Neutrality
120(6)
8.2.1 The Concept NN
121(1)
8.2.2 The Principles of NN
121(1)
8.2.3 The State of the Art of NN
121(1)
8.2.4 History of NN
122(1)
8.2.5 The Analysis of Abolition of NN
123(1)
8.2.6 Current Discussion of NN
124(3)
8.2.6.1 Service innovation
124(1)
8.2.6.2 The investment on the network infrastructure
125(1)
8.2.6.3 The management of internet traffic by internet service providers and what constitutes reasonable traffic management
125(1)
8.3 CONASENSE
126(1)
8.4 Network Neutrality Impact on CONASENSE Service Innovation
127(5)
8.4.1 From Social and Economic Aspect
130(1)
8.4.2 The Influence of NN Abolition
130(2)
8.4.3 Impact on CONASENSE Services
132(1)
8.5 Conclusions
132(1)
References
133(1)
Biography
134(3)
9 "The Virtual Business Model"-Towards a Virtualized Communications World-Challenges and Opportunities 137(20)
Peter Lindgren
9.1 Introduction
138(14)
9.1.1 Virtual Related to the Levels of the Business Model and Business Model Innovation
139(1)
9.1.2 Virtual Related to the Levels of the Business Model and Business Model Innovation
140(2)
9.1.3 Virtual BM's Related to Competence, Capability and Core Competence
142(1)
9.1.4 Virtual BM's Related to Network and Network Based BM's
143(1)
9.1.5 What Does Virtual Actual Mean-and How Has it Previously Been Defined?
144(1)
9.1.6 Virtual Businesses
145(1)
9.1.7 Virtual BM Related to How New the Business Model Is
146(1)
9.1.8 How Do We Define Virtual Related to Business Model?
147(4)
9.1.9 Challenges and Potential of Virtual Related to Business Model'
151(1)
9.2 Conclusion
152(1)
References
153(1)
Biography
154(3)
Index 157
Ramjee Prasad, GISFI, India and CTIF Global Capsule, Aarhus University, Denmark

Leo P. Ligthart, CONASENSE, the Netherlands
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