Titlebook: Rendezvous in Distributed Systems; Theory, Algorithms a Zhaoquan Gu,Yuexuan Wang,Francis C.M. Lau Book 2017 Springer Nature Singapore Pte L

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Zhaoquan Gu,Yuexuan Wang,Qiang-Sheng Hua,Francis C. M. Lau

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Rendezvous Theoryhe definition of the rendezvous problem, present rendezvous examples in distributed systems including multichannel wireless networks and cognitive radio networks in Sects. . and .. Afterwards, we define rendezvous in distributed system in Sect. . and present some simple distributed algorithms in Sec

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Rendezvous Categoriesmetric port setting. In Sect. ., we introduce a special scenario called oblivious port labeling where the entities could label the ports locally. In contrast, all entities see the same labels of the ports in non-oblivious port labeling, which limits the power of a distributed system. Finally, we int

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Blind Rendezvous Problemale distributed systems. We depict the blind rendezvous problem in Figs. . and .. Consider a cognitive radio network which is composed of several secondary users (SUs) and several primary users (PUs). Because of the PUs’ occupancy on the licensed channels, the SUs can only have opportunistically a p

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Asymmetric Blind Rendezvous Algorithmsgorithms are extended for the asynchronous and port-symmetric rendezvous setting in Sect. .. In Sects. . and ., we introduce efficient algorithms for the synchronous, port-asymmetric and asynchronous, port-asymmetric rendezvous settings. Finally, we summarize the chapter in Sect. ..

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Local Sequence (LS) Based Rendezvous Algorithmsen the number of available ports accounts for only a small fraction of all external ports. Thus, we propose Local Sequence (LS) based rendezvous algorithms which construct different sequences on the basis of the local information for different users. In this chapter, we introduce LS based rendezvous

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Oblivious Blind RendezvousPUs as an .. However, this assumption may not align with the reality when designing blind rendezvous algorithms. Actually, all users may not see the same labels for the licensed channels. For example, the ‘TV white space’ that could be sensed by the users has operating frequencies ranging from 470–7

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