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El. knyga: Drones in IoT-enabled Spaces [Taylor & Francis e-book]

(Near East University, Turkey)
  • Formatas: 212 pages, 6 Tables, black and white; 10 Illustrations, black and white
  • Išleidimo metai: 02-Aug-2019
  • Leidėjas: CRC Press
  • ISBN-13: 9780429294327
Kitos knygos pagal šią temą:
  • Taylor & Francis e-book
  • Kaina: 180,03 €*
  • * this price gives unlimited concurrent access for unlimited time
  • Standartinė kaina: 257,19 €
  • Sutaupote 30%
Drones in IoT-enabled SpacesDidesnis paveikslėlis
  • Formatas: 212 pages, 6 Tables, black and white; 10 Illustrations, black and white
  • Išleidimo metai: 02-Aug-2019
  • Leidėjas: CRC Press
  • ISBN-13: 9780429294327
Kitos knygos pagal šią temą:
Taylor & Francis e-booksMore info about Taylor & Francis e-books
Partnerių interneto svetainė: https://www.taylorfrancis.com/books/9780429294327

The Internet of Things (IoT) is a system of inter-connected devices, objects, and organisms. Among these devices, drones are gaining lots of interest. Drones are expected to communicate with cellular networks in the next generation networks (5G and beyond) which opens the door for another exciting research area. This book considers very important research areas in drone and cellular networks. It addresses major issues and challenges in drone-based solutions proposed for IoT-enabled cellular/computer networks, routing/communication protocols, surveillances applications, secured data management, and positioning approaches. It focuses mainly on smart and context-aware implementations.

Author xiii
1 UAVs in Intelligent IoT-Cloud Spaces 1(6)
Fadi Al-Turjman
Enver Ever
Murat Fahrioglu
1.1 Intelligence in UAVs
2(2)
1.2 Collaborative UAVs in Cloud
4(1)
1.3 Conclusion
5(1)
References
6(1)
2 Deployment Strategies for Drones in the IoT Era: A Survey 7(36)
Fadi Al-Turjman
Mohammad Abujubbeh
Arman Malekloo
2.1 Introduction
7(4)
2.1.1 Scope of This Survey
8(1)
2.1.2 State of Surveys
9(2)
2.2 Static Positioning of Drones
11(7)
2.2.1 Deployment Methodology
11(1)
2.2.1.1 Random Drone Deployment
11(1)
2.2.1.2 Controlled Drone Deployment
12(1)
2.2.2 Role-Based Placement Strategies
12(4)
2.2.2.1 Relay Drone Placement
13(3)
2.2.2.2 Placement of Data Collectors
16(1)
2.2.3 Primary Objectives for Deployment
16(2)
2.2.3.1 Area Coverage
17(1)
2.2.3.2 Network Connectivity
17(1)
2.2.3.3 Network Lifetime
17(1)
2.2.3.4 Data Fidelity
18(1)
2.3 Dynamic Positioning of Drones
18(6)
2.3.1 Drones Repositioning Schemes
18(6)
2.3.2 Relocation Issues
24(1)
2.4 Performance Metrics in Deployments
24(1)
2.5 Existing Drone Brands and Deployment Issues
24(2)
2.6 Drone-Based Applications
26(6)
2.6.1 Environmental Applications
27(5)
2.6.2 Industrial Applications
32(1)
2.7 Open Research Issues
32(3)
2.8 Conclusion
35(1)
References
35(8)
3 Optimal Placement for 5G Drone-BS Using SA and GA 43(16)
Fadi Al-Turjman
Joel Poncha Lemayian
Sinem Alturjman
Leonardo Mostarda
3.1 Introduction
43(3)
3.2 Related Work
46(1)
3.3 Challenges of Aerial Sensor Network
47(1)
3.4 System Model
48(6)
3.5 Results and Discussions
54(2)
3.6 Conclusions
56(1)
References
57(2)
4 Drones Path Planning for Collaborative Data Collection in ITS 59(16)
Fadi Al-Turjman
Emre Demir
4.1 Introduction
59(2)
4.2 Literature Review
61(2)
4.2.1 Static Approaches
61(1)
4.2.2 Dynamic Approaches
62(1)
4.3 System Models
63(1)
4.3.1 FANET Model
63(1)
4.3.2 Cost and Communication Models
63(1)
4.3.3 Power and Lifetime Model
64(1)
4.4 Least Cost Path Finder (LCPF) Approach
64(2)
4.5 Use Case
66(2)
4.6 Performance Evaluation
68(4)
4.7 Conclusions
72(1)
References
72(3)
5 5G/IoT-enabled UAVs for Multimedia Delivery 75(24)
Fadi Al-Turjman
Sinem Alturjman
5.1 Introduction
75(3)
5.2 Related Work
78(2)
5.3 System Model
80(3)
5.3.1 Problem Formulation
80(1)
5.3.2 Energy Model
81(1)
5.3.3 Delay Model
82(1)
5.3.4 Throughput Model
82(1)
5.4 PSO in IIoT
83(2)
5.5 Performance Evaluation
85(9)
5.5.1 Simulation Results
85(9)
5.6 Conclusion
94(3)
References
97(2)
6 Drones Navigation in Mission Critical Applications 99(20)
Fadi Al-Turjman
6.1 Introduction
99(3)
6.2 Literature Review
102(2)
6.3 System Models
104(6)
6.3.1 Mechanization Equations
105(3)
6.3.2 Error Model
108(1)
6.3.3 Filtering Model
109(1)
6.4 Two-Level KF-Aided Positioning Approach for UAVs
110(1)
6.5 Performance Evaluation
111(2)
6.5.1 Setup and Simulation Environment
111(1)
6.5.2 Simulation Results
112(1)
6.6 Conclusions
113(3)
Acknowledgements
116(1)
References
117(2)
7 Grid-Based UAV Placement in Intelligent Transportation Systems 119(20)
Fadi Al-Turjman
Sinem Alturjman
Jehad Hamamreh
7.1 Introduction
119(2)
7.2 Related Work
121(2)
7.3 Assumed Models and Problem Definition
123(3)
7.3.1 FANET Model and Problem Definition
123(1)
7.3.2 Communication and Cost
124(1)
7.3.3 Lifetime Model
125(1)
7.4 UAV Deployment Strategy
126(5)
7.4.1 First Phase of O3DwLC
126(2)
7.4.2 Second Phase of O3DwLC
128(3)
7.5 Performance Evaluation
131(4)
7.5.1 Simulation Setup
132(1)
7.5.2 Simulation Results
132(3)
7.6 Conclusion
135(1)
References
135(4)
8 A Cost-Effective Framework for the Optimal Placement of Drones in Smart Cities 139(20)
Fadi Al-Turjman
Reda Daboul
Semail Ulgen
Hadi Zahmatkesh
8.1 Introduction
139(3)
8.1.1 Environmental-Based Applications
140(1)
8.1.2 Industrial-Based Applications
141(1)
8.2 Related Works
142(2)
8.3 Proposed Methodology
144(2)
8.3.1 Optimized Placement Approach
144(1)
8.3.2 Equations of the Drone's Location
145(1)
8.4 Performance Evaluation and Results
146(10)
8.4.1 Simulation Setup
146(1)
8.4.2 Performance Metrics and Parameters
147(1)
8.4.3 Results and Discussions
147(17)
8.4.3.1 Static Targets
147(6)
8.4.3.2 Dynamic Targets
153(3)
8.5 Conclusion
156(1)
References
156(3)
9 Price-Based Data Routing in Dynamic IoT 159(30)
Fadi Al-Turjman
9.1 Introduction
159(2)
9.2 Background
161(3)
9.3 IoT System Model
164(7)
9.3.1 IoT Model
166(1)
9.3.2 IoT Node
167(3)
9.3.2.1 Residual Energy and Power Model
167(2)
9.3.2.2 Load and Buffer Space
169(1)
9.3.2.3 Delay
169(1)
9.3.2.4 Trust
169(1)
9.3.3 Pricing Model
170(1)
9.3.4 Communication Model
171(1)
9.4 Adaptive Routing Approach
171(3)
9.5 Use Case and Theoretical Analysis
174(3)
9.6 Performance Evaluation
177(9)
9.6.1 Simulation Setup and Baseline Approaches
177(2)
9.6.2 Performance Parameters and Metrics
179(1)
9.6.3 Simulation Results
180(6)
9.7 Conclusion
186(1)
References
186(3)
10 Security in UAV/Drone Communications 189(18)
Fadi Al-Turjman
Jehad M. Hamamreh
10.1 Introduction
189(3)
10.2 PLS for UAV Systems
192(7)
10.2.1 UAV as a Mobile Relay (UAV Relay)
193(1)
10.2.2 UAV as a Mobile Transmitter BS (UAV-BS)
194(1)
10.2.3 UAV as Mobile Jammer (UAV-Jammer)
195(2)
10.2.4 UAV as a Flying UE (UAV-UE)
197(1)
10.2.5 One UAV as a Cooperative Jammer and Another as a Transmitter
198(1)
10.3 Additional Common Attacks in UAV Systems
199(3)
10.3.1 Attacker Classification
199(1)
10.3.2 Attack-Type Classification
200(2)
10.4 Open Research Issues
202(1)
10.5 Conclusion
203(1)
References
203(4)
Index 207
Fadi Al-Turjman is a Professor at Antalya Bilim University, Turkey. He received his Ph.D. degree in computer science from Queens University, Canada, in 2011. He is a leading authority in the areas of smart/cognitive, wireless and mobile networks architectures, protocols, deployments, and performance evaluation. His record spans more than 180 publications in journals, conferences, patents, books, and book chapters, in addition to numerous keynotes and plenary talks at flagship venues. He has received several recognitions and best papers awards at top international conferences, and led a number of international symposia and workshops in flagship ComSoc conferences. He is serving as the Lead Guest Editor in several journals including the IET Wireless Sensor Systems (WSS), MDPI Sensors and Wiley. He is also the publication chair for the IEEE International Conf. on Local Computer Networks (LCN18). He is the sole author/editor for 7 recently published books about cognition and wireless sensor networks deployments in smart environments with Taylor and Francis, and the Springer Nature (Top tier publishers in the area).
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