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Alternative TitleGalois-field-based channel hopping rendezvous algorithms for heterogeneous cognitive radio networks
杨博; 郑萌; 梁炜
Source Publication中国科学:信息科学
Indexed ByCSCD
Contribution Rank1
Funding Organization中国科学院战略性先导科技专项(批准号:XDA06021000)资助
Keyword认知无线网络 信道汇合 跳频 异构网络 Galois域
Other AbstractChannel rendezvous is a prerequisite in cognitive radio networks, where secondary users choose a common available channel and establish a connection. It is difficult to guarantee rendezvous in heterogeneous cognitive radio networks, where no universal channel set is shared among secondary users. In this paper, we propose two Galois-field-based channel hopping (GFCH) heterogeneous rendezvous algorithms: one is global-channel-oriented and the other is local-channel-oriented. The algorithms generate periodic channel-hopping sequences by performing the operations of plus and multiply in the Galois field. The sequence in each period includes three phases: access all the channels in a clockwise direction, access the parity channel, and access all the channels in a counterclockwise direction. As in a distributed environment, global channels may not be shared among secondary users; we then propose a local Galois-field-based channel hopping (L-GFCH) rendezvous algorithm utilizing only local available channels. Furthermore, we analyze the theoretical values of the maximum-time-to-rendezvous of GFCH and L-GFCH. Extensive simulations confirm that GFCH and L-GFCH outperform existing algorithms in terms of expected-time-to-rendezvous in global and local scenarios, respectively.
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Document Type期刊论文
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GB/T 7714
杨博,郑萌,梁炜. 基于Galois域的异构认知无线网络信道跳频汇合算法[J]. 中国科学:信息科学,2015,45(6):752-765.
APA 杨博,郑萌,&梁炜.(2015).基于Galois域的异构认知无线网络信道跳频汇合算法.中国科学:信息科学,45(6),752-765.
MLA 杨博,et al."基于Galois域的异构认知无线网络信道跳频汇合算法".中国科学:信息科学 45.6(2015):752-765.
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