: M. Günes, D. G. Reina, J. M. Garcia Campos, S. L. Toral
: Mobile Ad Hoc Network Protocols Based on Dissimilarity Metrics
: Springer-Verlag
: 9783319627403
: 1
: CHF 47.40
:
: Datenkommunikation, Netzwerke
: English
: 91
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This SpringerBrief presents the design and performance evaluation of communication protocols based on dissimilarity metrics for wireless multihop networks. Dissimilarity metrics are used to infer the network topology based solely on local information to efficiently disseminate packets throughout the network, reducing both redundancy and congestion which is covered in this brief.

The performance evaluation of the proposed communication protocols has been conducted by both meticulous simulation and real experimentation in a wireless multi-hop testbed. The obtained results in this brief corroborate the hypothesis regarding the validity of dissimilarity metrics, which can be used to design efficient communication protocols.

This SpringerBrief is a good starting point for advanced-level students studying computer science and electrical engineering, as well as researchers and professionals working in this field.

Acknowledgements6
Contents7
List of Figures10
List of Tables13
Author Biographies14
1 Introduction16
1.1 Subject of the Book18
1.2 Intended Audience18
1.3 Structure of the Book19
2 Wireless Multi-Hop Networks20
2.1 Single-Hop Wireless Networks20
2.2 Multi-Hop Wireless Networks21
2.3 Types of Wireless Multi-Hop Networks22
2.4 The Wireless Medium26
2.5 Metrics for Multi-Hop Networks27
2.6 Network Model29
2.6.1 Protocol Stack29
2.6.2 Node Model30
2.7 Wireless Multi-Hop Network Specific Problems on the OSILayers30
3 Communication Protocols for Multi-Hop Ad Hoc Networks33
3.1 Broadcasting33
3.1.1 Classification of Broadcasting Algorithms34
3.1.2 Probabilistic Broadcasting Algorithms35
3.1.2.1 Flooding35
3.1.2.2 Gossip35
3.1.2.3 p-Persistence35
3.1.2.4 Polynomial Broadcasting35
3.1.2.5 Irresponsible Forwarding36
3.2 Routing36
3.3 Application of Broadcasting in Multi-Hop Networks38
3.3.1 Information Dissemination38
3.3.2 Route Discovery38
4 Dissimilarity Metrics39
4.1 Dissimilarity Metrics39
4.1.1 Properties of Dissimilarity Metrics41
4.2 Dissimilarity Metrics for Two Nodes41
4.2.1 Jaccard Coefficient and Dissimilarity41
4.2.2 Dice Coefficient and Dissimilarity42
4.2.3 Kulczynski Coefficient and Dissimilarity42
4.2.4 Folkes-Mallows Coefficient and Dissimilarity43
4.2.5 Sokal-Sneath Coefficient and Dissimilarity43
4.2.6 BNR Dissimilarity44
4.3 Dissimilarity Metrics in Networks44
4.3.1 Unit Disk Graph Model44
4.3.2 Probabilistic Connection Model46
4.4 Dissimilarity Metrics in VANETs48
4.4.1 Correlation Analysis of VANET Scenarios48
4.5 Dissimilarity Metrics in the DES-Testbed48
4.5.1 Correlation Analysis in the DES-Testbed50
5 Probabilistic Broadcasting Based on Dissimilarity Metrics52
5.1 Limits of Euclidean Distance-Based Probabilistic Broadcasting Algorithms52
5.2 Application of Dissimilarity Metrics to Probabilistic Broadcasting53
5.2.1 Dissimilarity-Persistence53
5.2.2 Dissimilarity-Polynomial53
5.2.3 Dissimilarity-Irresponsible Forwarding54
5.2.4 Silencing Mechanism Based on Dissimilarity Metrics55
6 Probabilistic Broadcasting in VANETs57
6.1 Probabilistic Algorithms Based on Dissimilarity Metrics57
6.2 Simulation Results59
6.2.1 Simulation Environment59
6.2.2 p-Persistence Algorithm Based on Dissimilarity Metrics60
6.2.3 Polynomial Algorithm Based on Dissimilarity Metrics62
6.2.4 Irresponsible Algorithm Based on Dissimilarity62
6.2.5 Comparison with Other Broadcasting Algorithms62
6.3 Discussion of the Results63
7 Routing in VANETs64
7.1 The Route Discovery Phase of AODV64
7.2 Route Discovery Based on Dissimilarity Metrics65
7.3 Simulation Results66
7.3.1 Simulation Environment66
7.3.2 Route Discovery Based on p-Persistence68
7.3.3 Route Discovery Based on Polynomial69
7.3.4 Comparison with the Original AODV Route Discovery70
7.4 Discussion of the Results71
8 Dissimilarity-Based Protocols in the DES-Testbed73
8.1 The DES-Testbed73
8.2 Experimental Probabilistic Broadcasting75
8.2.1 Communication Traffic75
8.2.2 Performance Evaluation Metrics76
8.2.3 Performance of Dissimilarity-Persistence77
8.2.4 Performance of Dissimilarity-Polynomial78
8.2.5 Performance of Irresponsible Forwarding Based on Dissimilarity Distance79
8.2.6 Silencing Based on Dissimilarity Metrics80
8.2.7 Comparison with Probabilistic Broadcasting81
8.2.7.1 Gossip 181
8.2.7.2 BNR82
8.2.7.3 p-Persistence Based on Euclidean Distance82
8.3 Discussion of the Results84
9 Conclusions and Future Directions85
References87