Broadcasting based neighborhood cooperative caching for content centric ad hoc networks

Content centric networking is a promising technology for data dissemination, which can be used in wireless ad hoc networks to cope with short-lived connectivity and dynamic topologies in wireless environments. Meanwhile, the broadcast nature of radio channel can be leveraged to improve the cooperative cache gain of content centric ad hoc networks. In this paper, a broadcasting based neighborhood cooperative caching (BNC) strategy is proposed. In BNC, a node selects caching node among its adjacent nodes and informs its caching node to cache the content while forwarding the data packet. By making best of the broadcast nature of radio channel, BNC achieves neighborhood cooperative caching without occupying extra wireless channel resource. In addition, the method of topology potential is exploited to make caching decision among adjacent nodes. Simulation results show that BNC can lead to better utilization of network cache space without deteriorating the network performances.

[1]  Nicola Blefari-Melazzi,et al.  Mobile peer-to-peer video streaming over information-centric networks , 2015, Comput. Networks.

[2]  Hani Salah,et al.  CoMon: A system architecture for improving caching in CCN , 2014, 2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[3]  李杨,et al.  Survey of In-Network Caching Techniques in Information-Centric Networks , 2014 .

[4]  Myeong-Wuk Jang,et al.  Cache capacity-aware CCN: Selective caching and cache-aware routing , 2013, 2013 IEEE Global Communications Conference (GLOBECOM).

[5]  Zhang Guo Survey of In-Network Caching Techniques in Information-Centric Networks , 2014 .

[6]  Jun Zhang,et al.  Intra-AS cooperative caching for content-centric networks , 2013, ICN '13.

[7]  Van Jacobson,et al.  Networking named content , 2009, CoNEXT '09.

[8]  Jian-Min Wang,et al.  Community Discovery Method in Networks Based on Topological Potential: Community Discovery Method in Networks Based on Topological Potential , 2009 .

[9]  Yanghee Choi,et al.  WAVE: Popularity-based and collaborative in-network caching for content-oriented networks , 2012, 2012 Proceedings IEEE INFOCOM Workshops.

[10]  Yang Li,et al.  A dominating-set-based collaborative caching with request routing in content centric networking , 2013, 2013 IEEE International Conference on Communications (ICC).

[11]  James F. Kurose,et al.  Information-centric networking: The evolution from circuits to packets to content , 2014, Comput. Networks.

[12]  Muqing Wu,et al.  Modeling content acquisition in two-dimensional content-centric MANETs , 2014, 2014 IEEE Wireless Communications and Networking Conference (WCNC).

[13]  Young-Bae Ko,et al.  TOP-CCN: Topology aware Content Centric Networking for Mobile Ad Hoc Networks , 2013, 2013 19th IEEE International Conference on Networks (ICON).

[14]  Alexander Afanasyev,et al.  ndnSIM 2 . 0 : A new version of the NDN simulator for NS-3 , 2015 .

[15]  Jonathan Loo,et al.  Special issue on information-centric network architecture, protocols, algorithms and applications , 2015, J. Netw. Comput. Appl..

[16]  Antonella Molinaro,et al.  Content-centric wireless networking: A survey , 2014, Comput. Networks.

[17]  Gan Wen Community Discovery Method in Networks Based on Topological Potential , 2009 .

[18]  Chunyan Feng,et al.  Optimal user association based on topological potential in heterogeneous networks , 2013, 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).