Data Dissemination and Channel Selection in Cognitive Radio Networks

Data Dissemination and Channel Selection in Cognitive Radio Networks

Mubashir Husain Rehmani, Yasir Faheem
DOI: 10.4018/978-1-4666-4189-1.ch002
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In this chapter, the authors provide a comprehensive review of broadcasting and channel selection strategies for wireless cognitive radio networks. In the beginning, some applications of the data dissemination in wireless cognitive radio networks are discussed to highlight their importance and utility. Next, the authors provide a detailed classification of broadcasting protocols in light of the existing literature, and the pros and cons of each classified category are discussed. Afterwards, the data dissemination is briefly discussed in the context of multi-channel environments and the related issues are highlighted. Then, the authors discuss the challenges of data dissemination in cognitive radio networks, followed by the classification of channel selection strategies along with their advantages and disadvantages for various classes of applications. In the last part, the authors conclude this chapter with open research issues that need to be addressed to provide efficient channel selection and data dissemination strategies in cognitive radio networks.
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In vehicular ad-hoc networks, an interesting application is to disseminate emergency messages to the specific area while guaranteeing all relevant vehicles receive the emergency message, such that people can change their routes to destination in time. In this way, people can avoid getting into a traffic jam. In this context, an analysis of emergency message dissemination in vehicular networks is done in (Rostamzadeh, 2011). In (Lee, 2010), a fast and reliable emergency message dissemination mechanism was proposed to disseminate emergency message in VANETs. In addition, the authors discussed how to solve the broadcast storm problem, achieving low dissemination delay, and providing a high reliability in freeway scenario.

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