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E-raamat: Mobile Ad Hoc Networks: Bio-Inspired Quality of Service Aware Routing Protocols

(National Institute of Technology Karnataka Surathkal, Mangalore, India), (Department of Information Technology, National Institute of Technology Karnataka (NITK), Surathkal, Mangalore, Karnataka, India)
  • Formaat: EPUB+DRM
  • Ilmumisaeg: 19-Aug-2016
  • Kirjastus: CRC Press Inc
  • Keel: eng
  • ISBN-13: 9781315351636
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Mobile Ad Hoc Networks: Bio-Inspired Quality of Service Aware Routing ProtocolsSuurem pilt
  • Formaat: EPUB+DRM
  • Ilmumisaeg: 19-Aug-2016
  • Kirjastus: CRC Press Inc
  • Keel: eng
  • ISBN-13: 9781315351636
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In recent years, a lot of work has been done in an effort to incorporate Swarm Intelligence (SI) techniques in building an adaptive routing protocol for Mobile Ad Hoc Networks (MANETs). Since centralized approach for routing in MANETs generally lacks in scalability and fault-tolerance, SI techniques provide a natural solution through a distributed approach for the adaptive routing for MANETs. In SI techniques, the captivating features of insects or mammals are correlated with the real world problems to find solutions. Recently, several applications of bio-inspired and nature-inspired algorithms in telecommunications and computer networks have achieved remarkable success.



The main aims/objectives of this book, "Mobile Ad Hoc Networks: Bio-Inspired Quality of Service Aware Routing Protocols", are twofold; firstly it clearly distinguishes between principles of traditional routing protocols and SI based routing protocols, while explaining in detail the analogy between MANETs and SI principles. Secondly, it presents the readers with important Quality of Service (QoS) parameters and explains how SI based routing protocols achieves QoS demands of the applications. This book also gives quantitative and qualitative analysis of some of the SI based routing protocols for MANETs.
List of Figures
xi
List of Tables
xiii
Preface xv
Acknowledgments xvii
1 Introduction
1(24)
1.1 Multi-Hop Networks
2(2)
1.1.1 Mesh Networks
3(1)
1.1.2 Mobile Ad Hoc networks
4(1)
1.2 History of Mobile Ad Hoc Networks
4(3)
1.2.1 Differences between Cellular Networks and MANETs
5(1)
1.2.2 Applications of Mobile Ad Hoc Networks
6(1)
1.3 Routing in Mobile Ad Hoc Networks
7(2)
1.3.1 Design Challenges for Routing Protocols
8(1)
1.4 Quality of Service (QoS) Issues
9(1)
1.5 Security Issues in MANETs
9(2)
1.6 Cross-Layer Design
11(2)
1.7 Bio-Inspired Computing
13(3)
1.7.1 Swarm Intelligence Techniques
14(2)
1.7.2 Non-Swarm Intelligence Techniques
16(1)
1.8 Motivation
16(1)
1.9 Organization of the Book
17(1)
1.10 Summary
18(7)
Glossary
18(1)
Exercises
19(1)
Part A Questions
19(1)
Part B Questions
20(1)
Part A Answers
21(1)
References
21(4)
2 Nature-Inspired Routing Algorithms for MANETs
25(30)
2.1 Nature-Inspired Routing Algorithms
27(1)
2.2 Reason for Aggregation
27(1)
2.3 Insect Swarms
28(1)
2.4 Ant Colony Strategy: Finding Shortest Path to Food Source
28(2)
2.5 Termite Hill Building
30(1)
2.6 Honey Bee Colony
31(3)
2.7 Fish School
34(1)
2.8 Decision Making by Fish
35(1)
2.9 Bird Flocks
35(2)
2.10 Asymptotic Behavior of Bird Flocks
37(1)
2.11 Firefly Algorithm
38(1)
2.12 Behavioral Study of Non-Swarm Species
38(1)
2.13 Bats
38(1)
2.14 Analogy between SI Techniques and MANETs Routing
39(1)
2.15 Ants and MANETs Routing
39(1)
2.16 Route Discovery Phase of Basic ACO Routing Algorithm
40(1)
2.17 Reverse Path Setup
41(4)
2.18 Forward Path Setup
45(1)
2.19 Termites and MANETs Routing
45(2)
2.20 Summary
47(8)
Glossary
48(1)
Exercises
48(1)
Part A Questions
48(2)
Part B Questions
50(1)
Part A Answers
51(1)
References
52(3)
3 SI Solutions to Routing in MANETs
55(34)
3.1 Legacy Routing Protocols
56(2)
3.1.1 Ad Hoc On Demand Distance Vector Routing (AODV)
56(1)
3.1.2 Dynamic Source Routing (DSR)
57(1)
3.1.3 Drawbacks of Traditional Routing Algorithms
58(1)
3.2 Swarm Intelligence-Based Routing
58(15)
3.2.1 ACO Based Bio-Inspired Routing
60(8)
3.2.2 Bees-Based Routing Algorithms
68(1)
3.2.3 Flocks of Birds-Based Routing
68(1)
3.2.4 Termite-Based Routing Algorithms
69(4)
3.3 Non-SI Based Bio-Inspired Routing Algorithms
73(1)
3.4 Hybrid Bio-Inspired Routing Algorithms
73(6)
3.5 Summary
79(10)
Exercises
79(1)
Part A Questions
79(3)
Part B Questions
82(1)
Part A Answers
82(1)
References
83(6)
4 SI Solutions to QoS in MANETs
89(36)
4.1 QoS Parameter at Different Layers
90(1)
4.2 Providing QoS at Different Layers
90(1)
4.3 SI- and CLD-Based Solutions to QoS
91(1)
4.4 Taxonomy of SI-Based QoS Protocols
91(21)
4.4.1 Cross Layered-SI based QoS Protocols
92(7)
4.4.2 Bat-Termite: Novel Hybrid Bio-Inspired Routing
99(6)
4.4.3 Load-Balanced Bat-Termite: Novel Hybrid Bio-Inspired Routing
105(5)
4.4.4 Node Structure of Load-Balanced (LB) Bat-Termite
110(2)
4.5 Load-Balanced Termite: Novel Load Aware Bio-Inspired Routing
112(4)
4.5.1 Motivation for Development of LB-Termite Algorithm
113(3)
4.5.2 Working Principle of LB Termite Algorithm
116(1)
4.6 Comparative Study of Mobility Aware (MA) Termite, Bat-Termite, LB Bat-Termite and LB Termite Algorithms
116(3)
4.7 ACO-Based QoS-Aware Routing Algorithms
119(1)
4.8 Summary
120(5)
References
121(4)
5 SI Solutions to Security Issues in MANETs
125(44)
5.1 Security Goals
126(1)
5.2 Vulnerabilities
126(2)
5.3 Classification of Security Attacks
128(1)
5.4 Security Threats at Different Layers
129(13)
5.4.1 Physical Layer
130(2)
5.4.2 Data Link layer
132(1)
5.4.3 Network Layer
133(7)
5.4.4 Transport Layer
140(2)
5.4.5 Application Layer
142(1)
5.5 Security Schemes
142(9)
5.5.1 Active Attack Prevention Approaches
142(4)
5.5.2 Passive Attack Prevention Approaches
146(2)
5.5.3 Intrusion Detection and Response Security Approaches
148(3)
5.6 SI Solutions to Secure Routing
151(8)
5.6.1 SI-based Non-Hybrid Approaches
151(5)
5.6.2 SI-Based Hybrid Approaches
156(3)
5.7 Summary
159(10)
Exercises
159(1)
Part A Questions
159(2)
Part B Questions
161(1)
Part A Answers
161(1)
References
162(7)
6 Conclusions and Future Directions
169(4)
6.1 Conclusions
169(1)
6.2 Future Directions
170(3)
References
171(2)
Index 173
Prof. Dr. G. Ram Mohana Reddy is currently the Chairman of Central Computer Centre, National Institute of Technology Karnataka, Surathkal, Mangalore. He received his Masters Degree from Indian Institute of Technology, Kharagpur. He was awarded Commonwealth Scholarship/Fellowship for pursuing Doctoral Research at the University of Edinburgh, U.K. His research interests include Affective Computing, Bio-inspired Computing, Cognitive Speech Science, Healthcare Informatics, Intelligent Cloud Computing, QoS Aware MANETs, Social Network Analysis. He has guided 10 PhD Scholars, 20 MTech Projects and 100 BTech Projects. Further, he has published 150 International Journals, Conferences, Book-Chapters in ACM/IEEE/IET/Elsevier/Springer Proceedings.

Dr. Kiran M received his Doctoral Degree in 2014 from Department of Information Technology, National Institute of Technology Karnataka, Mangalore, India. He is awarded with Rajiv Gandhi National Scholarship/fellowship for pursuing his Doctoral Research. Currently he is working as Assistant Professor in Department of Information Science and Engineering, JNN college of Engineering, Shimoga, Karnataka, India. His research interest includes Quality of Service in MANETs, Cross Layer Design, Performance Analysis of Routing Protocols in MANETs and Swarm Intelligence.
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