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Bio-inspired Routing Protocols for Vehicular Ad-Hoc Networks [Kõva köide]

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  • Formaat: Hardback, 160 pages, kõrgus x laius x paksus: 244x165x16 mm, kaal: 390 g
  • Ilmumisaeg: 19-Sep-2014
  • Kirjastus: ISTE Ltd and John Wiley & Sons Inc
  • ISBN-10: 1848216637
  • ISBN-13: 9781848216631
Teised raamatud teemal:
Bio-inspired Routing Protocols for Vehicular Ad-Hoc NetworksSuurem pilt
  • Formaat: Hardback, 160 pages, kõrgus x laius x paksus: 244x165x16 mm, kaal: 390 g
  • Ilmumisaeg: 19-Sep-2014
  • Kirjastus: ISTE Ltd and John Wiley & Sons Inc
  • ISBN-10: 1848216637
  • ISBN-13: 9781848216631
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781848216631.html
Märksõnad:

Vehicular Ad-Hoc Networks (VANETs) play a key role to develop Intelligent Transportation Systems (ITS) aiming to achieve road safety and to guaranty needs of drivers and passengers, in addition to improve the transportation productivity. One of the most important challenges of this kind of networks is the data routing between VANET nodes which should be routed with high level of Quality of Service (QoS) to ensure receiving messages in the time. Then, the driver can take the appropriate decision to improve the road safety. In the literature, there are several routing protocols for VANETs which are more or less reliable to reach safety requirements. In this book, we start by describing all VANET basic concepts such as VANET definition, VANET versus Mobile ad-Hoc Network (MANET), architectures, routing definition and steps, Quality of Service (QoS) for VANET Routing, Metrics of evaluation, Experimentation, and simulation of VANETs, mobility patterns of VANET etc. Moreover, different routing protocols for routing in VANETs will be described. We propose two main categories to be presented: classical routing and bio-inspired routing. Concerning classical VANET, main principles and all phases will be overviewed, as well as, their two sub-categories which are topological and geographical protocols. After that, we propose a new category called bio-inspired routing which is inspired by natural phenomenon such as Ant colony, Bee life, Genetic operators etc. We present also, some referential protocols as example of each category.

In this book, we focus on the idea of how to apply bio-inspired principle into VANET routing to improve road safety, and to ensure QoS of vehicular applications.

Preface ix
Introduction xi
Acronyms and Notations xv
Chapter 1 Vehicular Ad Hoc Networks
1(28)
1.1 VANET definition, characteristics and applications
1(6)
1.1.1 Definition of vehicular ad hoc network
1(1)
1.1.2 Characteristics of vehicular ad hoc networks
2(3)
1.1.3 Applications of vehicular ad hoc networks
5(2)
1.2 VANET architectures
7(2)
1.2.1 Vehicular WLAN/cellular architecture
7(1)
1.2.2 Pure ad hoc architecture
8(1)
1.2.3 Hybrid architecture
9(1)
1.3 Mobility models
9(12)
1.3.1 Random-based mobility models
10(2)
1.3.2 Geographic map-based mobility models
12(2)
1.3.3 Group-based mobility
14(3)
1.3.4 Prediction-based mobility models
17(3)
1.3.5 Software-tools-based mobility models
20(1)
1.4 VANET challenges and issues
21(2)
1.4.1 VANET routing
21(1)
1.4.2 Vehicular network scalability
22(1)
1.4.3 Computational complexity in VANET networking
22(1)
1.4.4 Routing robustness and self-organization in vehicular networks
23(1)
1.4.5 Vehicular network security
23(1)
1.5 Bibliography
23(6)
Chapter 2 Routing for Vehicular Ad Hoc Networks
29(22)
2.1 Basic concepts
29(6)
2.1.1 Single-hop versus multi-hop beaconing in VANETs
29(2)
2.1.2 Routing classification of VANETs
31(4)
2.2 Quality-of-service of VANET routing
35(2)
2.2.1 Quality-of-service definition
35(1)
2.2.2 Quality-of-service criteria
36(1)
2.3 VANET routing standards
37(8)
2.3.1 Dedicated short range communication
38(2)
2.3.2 Standards for wireless access in vehicular environments (WAVE)
40(2)
2.3.3 VANET standards related to routing layers
42(2)
2.3.4 Other VANET routing standards
44(1)
2.4 VANET routing challenges and issues
45(2)
2.4.1 Dynamics nature of VANETs (mobility pattern and vehicles' velocity)
45(1)
2.4.2 Vehicular network density and scalability
46(1)
2.4.3 Safety improvement and quality-of-service
46(1)
2.5 Bibliography
47(4)
Chapter 3 Conventional Routing Protocols for VANETs
51(28)
3.1 Topology-based routing
51(8)
3.1.1 Reactive routing protocols
52(3)
3.1.2 Proactive routing protocols
55(2)
3.1.3 Hybrid routing protocols
57(1)
3.1.4 Critics of topology-based routing
58(1)
3.2 Geography-based routing
59(9)
3.2.1 Geography-based routing principle
59(1)
3.2.2 Geography-based routing protocols
59(8)
3.2.3 Critics of geography-based routing
67(1)
3.3 Cluster-based routing
68(5)
3.3.1 Cluster-based routing principle
68(1)
3.3.2 Cluster-based routing protocols
69(4)
3.3.3 Critics of cluster-based routing
73(1)
3.4 Bibliography
73(6)
Chapter 4 Bio-inspired Routing Protocols for VANETs
79(42)
4.1 Motivations for using bio-inspired approaches in VANET routing
80(2)
4.1.1 Network scalability
80(1)
4.1.2 Computational complexity
80(1)
4.1.3 Self-organization and adaptability
81(1)
4.1.4 Routing robustness
81(1)
4.2 Fundamental concepts and operations of bio-inspired VANET routing
82(3)
4.2.1 Optimization problem definition
82(1)
4.2.2 Search space (SSp)
83(1)
4.2.3 Objective function
83(1)
4.2.4 Population
84(1)
4.2.5 Individual encoding
84(1)
4.2.6 Initialization
84(1)
4.2.7 Stopping criterion
85(1)
4.3 Basic bio-inspired algorithms used in VANET routing literature
85(10)
4.3.1 Genetic algorithm
86(3)
4.3.2 Ant colony optimization
89(1)
4.3.3 Particle swarm optimization
90(2)
4.3.4 Bees life algorithm
92(1)
4.3.5 Bacterial foraging optimization
93(2)
4.4 Evolutionary algorithms for VANET routing
95(6)
4.4.1 Sequential genetic algorithms for VANET routing
95(5)
4.4.2 Parallel genetic algorithms for VANET routing
100(1)
4.5 Swarm intelligence for VANET routing
101(11)
4.5.1 Ant colony optimization for VANET routing
102(4)
4.5.2 Particle swarm optimization for VANET routing
106(2)
4.5.3 Bee colony optimization for VANET routing
108(2)
4.5.4 Bacterial foraging optimization for VANET routing
110(2)
4.6 Another bio-inspired approach for VANET routing
112(1)
4.7 Bibliography
113(8)
Conclusion 121(4)
Index 125
Salim BITAM is an Associate Professor, Head (2003-2009) of Computer Science for Management Department of Biskra University, Algeria, he is senior member of LESIA Laboratory (University of Biskra, Algeria), and Associate Member of LiSSi Laboratory (Paris-Est University -UPEC-, France). He received the Ing. Diploma in Computer Science from Mentouri University, Constantine, Algeria, in 1999 and the Magister and PhD diplomas in Computer Science from University of Biskra, Algeria, in 2002 and 2011, respectively. In December 2002, he has been an assistant professor and since January 2011 he is an associate professor in Computer Science Department in University of Biskra. Dr. Bitam main research interests are vehicular ad-hoc networks, mobile ad-hoc networks, wireless sensor networks, cloud computing, and bio-inspired methods for routing and optimization. Dr. Salim Bitam has served as a reviewer of several journals such as IEEE, Elsevier and Springer and on the program committees of several international conferences.

Abdelhamid MELLOUK (IEEE Senior Member) is a full professor at University of Paris-Est (UPEC), Networks & Telecommunications (N&T) Department and LiSSi Laboratory, France. He graduated in computer network engineering from the Computer Science High Eng. School, University of Paris Sud XI Orsay, received his Ph.D. in informatics from the same university, and a Doctorate of Sciences (Habilitation) diploma from  UPEC. Founder of the Network Control Research activity with extensive international academic and industrial collaborations, his general area of research is in adaptive real-time control for high-speed new generation dynamic wired/wireless networking in order to maintain acceptable quality of service/experience for added value services. He is an active member of the IEEE Communications Society and held several offices including leadership positions in IEEE Communications Society Technical Committees (Chair of The Technical Committee on Communications Software, Leader Officer of The Technical Committee on Switching and Routing). He has published/coordinated five books and several refereed international publications in journals, conferences, and books, in addition to numerous keynotes and plenary talks in flagship venues. He serves on the Editorial Boards or as Associate Editor for several journals, and he is chairing or has chaired (or co-chaired) some of the top international conferences and symposia (includling IEEE ICC and IEEE GlobeCom).