Content Centric Networking Approach in Cognitive Radio Ad hoc Networks Rana Asif Rehman Department of Electronics and Computer Engineering Hongik University Sejong City, 337-701, Republic of Korea Email: asifrehman7@gmail.com Byung-Seo Kim Department of Computer and Info. Comm. Engineering Hongik University Sejong City, 337-701, Republic of Korea Email: jsnbs@hongik.ac.kr Abstract—Content Centric Networks (CCN) is recently pro- posed scheme for next generation Internet communication in which nodes do not need to communicate based on locations in- formation instead they used contents names. In cognitive radio ad hoc networks (CRAHNs), nodes have dynamic network situation due to intermittent channels conditions as well as the presence of primary users activities. Based on IP-based communication approach, it is hard to maintain end-to-end connections among cognitive radio (CR) nodes in CRAHNs. In this paper, by leveraging the benefits of CCN, we propose a new cross layer architecture, named content centric networking for cognitive radio ad hoc networks (CCN-CRAHNs). Proposed scheme is evaluated by using simulation which shows the advantages of CCN-CRAHNs as compare to IP-based CRAHNs in term of average end-to-end delay in cognitive environment. Keywords—Content, Interest, Cognitive Radio, Named Data Networking, Ad Hoc Networks I. I NTRODUCTION FCC report [1] brings a great revolution in the field of dynamic spectrum access (DSA). Now-a-days various intel- ligent and smart programmable devices have been used to share, sense and utilize the spectrum opportunities (SOPs) [2]. Cognitive Radio (CR) is one of the technology that can adjust their attributes based on operational environment. Two types of users named licensed or primary users (PUs) and unlicensed or secondary users (SUs) formalized the cognitive radio networks (CRNs), in which, SUs utilize the SOPs in the absence of PUs while PUs exploits the spectrum by using fixed spectrum allo- cation policies [2]. CRNs can also be distributed into further two famous networks named Infrastructure-based cognitive ra- dio networks and Cognitive radio ad hoc networks (CRAHNs). Due to rapid advancement in technology, various devices such as tablets, smart phones etc. have been evolved. As a result, Internet traffic has increased exponentially, specially in the case of video traffics, will be around 80% of the total traffic in 2016 [3]. Now-a-days, users are more interested in fetching their required contents from different online resources like YouTube, Facebook etc. by experiencing less delay as well as decoupling from their locations. IP-based communication is also called location-based communication and has number of issues like data availability, security, location dependent etc., which is not suitable for future communication and applications requirements. Initially, the fundamental concept of content based net- working approach is described in [4]. In which, the authors propose two new models: called datagram and predicate mod- els. Moreover, they also describe the relationship between tra- ditional and content-based networking. For futuristic Internet paradigm perspective, Information-Centric Networking (ICN) [5] is a newly proposed scheme in which communication is receiver-driven and rely on content names instead of their locations. It provides the more efficient and faster routing mechanism specially in peer-to-peer communication without any need of overlay systems. Many active ICN project like 4WARD [6], CCN [7], COAST [8], COMET [9], PURSUIT [10], CONVERGENCE [11] etc. are currently working in this arena, in which con- tent centric networking (CCN) [7] more attracts the research community, thanks to the simple, due to its uncomplicated communication procedure. It provides built-in mobility support and nodes do not need to perform handover whenever some node travel from one position to another [12]. By using this approach, there is no need to assign IP address to each participating node. Furthermore, there is no any routing loops exists during communication. Early research on CCN is more investigated in wired networks. However, it also shows its fruitful benefits in wireless ad hoc networks [13], [14], [15], [16], [17], [18], [19]. In CRAHNs, CR nodes need to preserved single end-to-end connection in order to communicate and do not fully exploit the broadcast nature of the wireless channels. Due to channel fluctuations, channel errors and unpredictable PU activity, it is hard for CR nodes to hold accurate routing state and machine- to-machine connectivity. Therefore, in this paper, by leverages the benefits of simple CCN communication paradigm, we proposed a new fine grained cross layer architecture, named content centric net- working for cognitive radio ad hoc networks (CCN-CRAHNs). In CCN-CRAHNs, CR nodes do not need to keep alive machine-to-machine path connectivity in order to communicate specially in the presence of unpredictable channel conditions and PUs activities. In addition, every CR nodes have capability to store the contents, which is further unique characteristic of proposed scheme to reduce the content retrieval latency in the network. The rest of the paper is organized as follows. In Section 2, we describe the proposed architecture in detail. Section 3 provides the simulation results and analysis, and finally the conclusions are presented in Section 4. 2015 13th International Conference on Frontiers of Information Technology 978-1-4673-9666-0/15 $31.00 © 2015 IEEE DOI 10.1109/FIT.2015.61 314 2015 13th International Conference on Frontiers of Information Technology 978-1-4673-9666-0/15 $31.00 © 2015 IEEE DOI 10.1109/FIT.2015.61 309