Proposal for Standardization of Green Information Centric Networking Based Communication Utilizing Proactive Caching in Intelligent Transport System
DOI:
https://doi.org/10.13052/jicts2245-800X.413Keywords:
Information Centric Networking (ICN), Standardization, Future Internet (FI), Intelligent Transportation Systems (ITS), Green Networking, Wireless Access Scheme, Next Generation Mobile CommunicationAbstract
Nowadays, Internet is mostly used to access content and users are also interested in content, instead of location. Information-Centric Networking (ICN) has drawn substantial consideration over past few years because its appearance introduced a new potential Internet architecture (deploying extensive cache structure to distribute and deliver information). Though ICN has undoubtedly become a promising Future Internet architecture to solve current host-centric Internet problems, conventional ICN design still has its own drawbacks. These include caching, routing, etc., particularly mobility issue and energy-efficiency problem due to additional energy consumption for Content Routers’ caching capability. In order to address the energy flaw and enhance the mobility performance of ICNArchitecture, in this article, we have designed, evaluated and proposed a wireless Information Centric Networking (ICN) based access model within the context of Intelligent Transport System (ITS) for ICN standardization procedure. We take into consideration the fact that number of mobile devices increases rapidly day by day as well as the public transportation (e.g. train, bus, etc) becomes more popular nowadays. Besides, mobile users may ask for different content interests via Internet during the period of time when they are on public transport vehicle. We then propose a wireless communication topology in ICN for the ITS by utilizing the smart scheduling algorithm with proactive-caching based strategy to deal with possible and practical situations of commuters (mobile content users). In our scheme, the dedicated content provider proactively sends appropriate segments of requested content (based on chunk-level structure of content) to expected proximity Aggregation content nodes located at neighbor stations (future attachment points) on the moving path of public transportation vehicle. This working scheme substantially enhances the mobile user’s quality of experience and network performance in ICN. Moreover, the proposed ICN based system adapts the network nodes to their optimized network utilization values according to content popularity by conducting cross-layer optimization. This mechanism provides mobile users more reliable and effective Green Information and Communication Systems (ICS) when they travel with public transportation. Therefore, the proposal integrates Green networking into ICN by combining the benefits of innovated rate-adaptivity and proactive-caching based schemes for achieving highly scalable, reliable and energy-efficient network performance in future transportation Information-centric communication system with data-awareness. In addition, we identify that there are currently various ICN-based models and emphasize the need of an official ICN international standard for wireless communication in general and transportation system in particular. Following, by evaluating the proposal, we show that the proposed cross-layer wireless content access model in ICN for ITS is a promising and feasible contribution for the standardization process of ICN.
Downloads
References
Jacobson, V., Mosko, M., Smetters, D., and Garcia-Luna-Aceves, J. J. (2007). Content-centric networking: Whitepaper describing future assurable global networks. Response to DARPA RFI SN07-12.
Trossen, D., and Parisis, G. (2012). “Designing and realizing an information-centric internet”, Proceeding of the IEEE Communication Magazine, vol. 50.
Jacobson, V., Smetters, D. K., Thornton, J. D., Plass, M. F., Briggs, N. H., and Braynard, R. L., (2009). “Networking named content”, in Proceeding of the 5th International Conference on Emerging Networking Experiments and Technologies (CoNEXT ’09). ACM: Rome, 1–12.
Gaddah, A., and Kunz, T. (2010). Extending mobility to publish/subscribe systems using a pro-active caching approach. Mob. Inf. Syst. 6, 293–324.
Pack, S., Jung, H., Kwon, T., and Choi, Y., (2005). SNC: a selective neighbor caching scheme for fast handoff in IEEE 802.11 wireless networks. ACM Mob. Comput. Commun. Rev. 9, 39–49.
Vasilakos, X., et al. (2012). Proactive selective neighbor caching for enhancing mobility support in information-centric networks. Proc. ACM ICN 12, 61–66.
Gunaratne, C., et al. (2008). Reducing the energy consumption of ethernet with Adaptive Link Rate (ALR). IEEE Trans. Comp. 57, 448–461.
Zhang, B., Sabhanatarajan, K., Gordon-Ross, A., and George, A. (2008). Real-time performance analysis of adaptive link rate, in Proceeding of the 33rd IEEE Conference on Local Computer Networks, Montreal, QC, 282–288.
Bilal, K., et al., (2013). A survey on green communications using adaptive link rate. Cluster Comput. 16, 575–589.
Nedevschi, S., et al., (2008). “Reducing network energy consumption via sleeping and Rate-Adaptation,” in Proceeding of the 5th USENIX Symposium on Networked Systems Design and Implementation (NDSI’08), Berkeley, CA, 323–336.
Nguyen, Q. N., Arifuzzaman, M., Miyamoto, and Takuro, S. (2015). “An optimal information centric networking model for the future green network,” in Proceeding of the IEEE Twelfth International Symposium on Autonomous Decentralized Systems (ISADS), Taichung, 272–277.
P. Rodiguez, et. al. (2004). “MAR: a commuter router infrastructure for the mobile internet,” in Proceedings of the 2nd International Conference on Mobile Systems, Applications, and Services, Boston, MA, 217–230.
Kumar, K. R., Angolkar, P., and Das, D. (2008). “SWiFT: a novel architecture for seamless wireless internet for fast trains,” in Proceeding IEEE Vehicular Technology Conference, (Nanjing: VTC spring), 3011–3015.
Tso, F., Cui, L., Zhang, L., Jia, W., Yao, D., Teng, J., and Xuan, D. (2013). “DragonNet: a robust mobile internet service system for long-distance trains,” in Proceeding of the IEEE Transactions Mobile Computing, Vol. 12, Piscataway, NJ, 2206–2218.
Amadeo, A., Molinaro, M., and Ruggeri, G. (2013). E-CHANET: Routing, forwarding and transport in Information-Centric multihop wireless networks. Comput. Commun. 36, 792–803.
Nguyen, Q. N., Arifuzzaman, M., and Sato, T. (2015). Proactive-caching based information centric networking architecture for reliable green communication in intelligent transport system,” in Proceedings of the 2015 ITU Kaleidoscope: Trust in the Information Society (K-2015), Barcelona, 1–7.
Zhang, L., Estrin, D., Burke, J., Jacobson, V., Thornton, J., Smetters, D., et al. (2010). Named Data Networking (NDN) Project. PARC Technical Report NDN-001.
Trossen, D., (ed.) (2009). Architecture Definition, Component Descriptions, and Requirements. Available at: http://www.psirp.org
Ahlgren, B., et al. (2010). Second NetInf Architecture Description. Available at: http://www.4ward-project.eu/
ITU-T. (2014). Recommendation ITU-T Y.3033: Framework of Data Aware Networking for Future Networks. Available at: http://handle.itu.int/ 11.1002/1000/12076
Butt, M. R., Delgado, O., Coates, M. (2012). “An energy-efficiency assessment of Content Centric Networking (CCN),” Electrical & Computer Engineering (CCECE), Montreal, QC.
ndnSIM homepage, Available at: http://www.ndnsim.net/
Breslau, L., Cao, P., Fan, L., Phillips, G., and Shenker, S. (1999). Web Caching and Zipf-like Distributions: Evidence and Implications. In Proceedings of the IEEE Conference on Computer Communications INFOCOM. Washington: IEEE Press.
Novarum Inc. (2009). Enterprise 801.11n Wireless Access Point Performance Benchmark. Available at: http://www.novarum.com/documents/ Enterprise802.11nSingleAPBenchmarkTestingv1.3.pdf
GreenICN Project. (2013). Available at: http://greenicn.org/
