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000799980 24500 $$aMobile ad hoc network protocols based on dissimilarity metrics /$$cM. Güneş, D. G. Reina, J. M. Garcia Campos, S. L. Toral.
000799980 264_1 $$aCham, Switzerland :$$bSpringer,$$c2017.
000799980 300__ $$a1 online resource.
000799980 336__ $$atext$$btxt$$2rdacontent
000799980 337__ $$acomputer$$bc$$2rdamedia
000799980 338__ $$aonline resource$$bcr$$2rdacarrier
000799980 4901_ $$aSpringerBriefs in electrical and computer engineering,$$x2191-8112
000799980 504__ $$aIncludes bibliographical references.
000799980 5050_ $$aAcknowledgements; Contents; List of Figures; List of Tables; Author Biographies; 1 Introduction; 1.1 Subject of the Book; 1.2 Intended Audience; 1.3 Structure of the Book; 2 Wireless Multi-Hop Networks; 2.1 Single-Hop Wireless Networks; 2.2 Multi-Hop Wireless Networks; 2.3 Types of Wireless Multi-Hop Networks; 2.4 The Wireless Medium; 2.5 Metrics for Multi-Hop Networks; 2.6 Network Model; 2.6.1 Protocol Stack; 2.6.2 Node Model; 2.7 Wireless Multi-Hop Network Specific Problems on the OSILayers; 3 Communication Protocols for Multi-Hop Ad Hoc Networks; 3.1 Broadcasting
000799980 5058_ $$a3.1.1 Classification of Broadcasting Algorithms3.1.2 Probabilistic Broadcasting Algorithms; 3.1.2.1 Flooding; 3.1.2.2 Gossip; 3.1.2.3 p-Persistence; 3.1.2.4 Polynomial Broadcasting; 3.1.2.5 Irresponsible Forwarding; 3.2 Routing; 3.3 Application of Broadcasting in Multi-Hop Networks; 3.3.1 Information Dissemination; 3.3.2 Route Discovery; 4 Dissimilarity Metrics; 4.1 Dissimilarity Metrics; 4.1.1 Properties of Dissimilarity Metrics; 4.2 Dissimilarity Metrics for Two Nodes; 4.2.1 Jaccard Coefficient and Dissimilarity; 4.2.2 Dice Coefficient and Dissimilarity
000799980 5058_ $$a4.2.3 Kulczynski Coefficient and Dissimilarity4.2.4 Folkes-Mallows Coefficient and Dissimilarity; 4.2.5 Sokal-Sneath Coefficient and Dissimilarity ; 4.2.6 BNR Dissimilarity; 4.3 Dissimilarity Metrics in Networks; 4.3.1 Unit Disk Graph Model; 4.3.2 Probabilistic Connection Model; 4.4 Dissimilarity Metrics in VANETs; 4.4.1 Correlation Analysis of VANET Scenarios; 4.5 Dissimilarity Metrics in the DES-Testbed; 4.5.1 Correlation Analysis in the DES-Testbed; 5 Probabilistic Broadcasting Based on Dissimilarity Metrics; 5.1 Limits of Euclidean Distance-Based Probabilistic Broadcasting Algorithms
000799980 5058_ $$a5.2 Application of Dissimilarity Metrics to Probabilistic Broadcasting5.2.1 Dissimilarity-Persistence; 5.2.2 Dissimilarity-Polynomial; 5.2.3 Dissimilarity-Irresponsible Forwarding; 5.2.4 Silencing Mechanism Based on Dissimilarity Metrics; 6 Probabilistic Broadcasting in VANETs ; 6.1 Probabilistic Algorithms Based on Dissimilarity Metrics; 6.2 Simulation Results; 6.2.1 Simulation Environment; 6.2.2 p-Persistence Algorithm Based on Dissimilarity Metrics; 6.2.3 Polynomial Algorithm Based on Dissimilarity Metrics; 6.2.4 Irresponsible Algorithm Based on Dissimilarity
000799980 5058_ $$a6.2.5 Comparison with Other Broadcasting Algorithms6.3 Discussion of the Results; 7 Routing in VANETs ; 7.1 The Route Discovery Phase of AODV; 7.2 Route Discovery Based on Dissimilarity Metrics; 7.3 Simulation Results; 7.3.1 Simulation Environment; 7.3.2 Route Discovery Based on p-Persistence; 7.3.3 Route Discovery Based on Polynomial; 7.3.4 Comparison with the Original AODV Route Discovery; 7.4 Discussion of the Results; 8 Dissimilarity-Based Protocols in the DES-Testbed; 8.1 The DES-Testbed; 8.2 Experimental Probabilistic Broadcasting; 8.2.1 Communication Traffic
000799980 506__ $$aAccess limited to authorized users.
000799980 520__ $$aThis SpringerBrief presents the design and performance evaluation of communication protocols based on dissimilarity metrics for wireless multihop networks. Dissimilarity metrics are used to infer the network topology based solely on local information to efficiently disseminate packets throughout the network, reducing both redundancy and congestion which is covered in this brief. The performance evaluation of the proposed communication protocols has been conducted by both meticulous simulation and real experimentation in a wireless multi-hop testbed. The obtained results in this brief corroborate the hypothesis regarding the validity of dissimilarity metrics, which can be used to design efficient communication protocols. This SpringerBrief is a good starting point for advanced-level students studying computer science and electrical engineering, as well as researchers and professionals working in this field.
000799980 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 28, 2017).
000799980 650_0 $$aAd hoc networks (Computer networks)
000799980 7001_ $$aGüneş, M.,$$eeditor.
000799980 7001_ $$aReina, D. G.,$$eeditor.
000799980 7001_ $$aCampos, J. M. Garcia,$$eeditor.
000799980 7001_ $$aToral, S. L.,$$eeditor.
000799980 77608 $$iPrint version:$$z3319627392$$z9783319627397$$w(OCoLC)990001002
000799980 830_0 $$aSpringerBriefs in electrical and computer engineering.
000799980 852__ $$bebk
000799980 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-62740-3$$zOnline Access$$91397441.1
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