Page 226 - Proceedings of the 2017 ITU Kaleidoscope
P. 226

Poster Session
             P.1        Contract theory based caching and pricing strategy for content centric networks
                        Chen Li, Jintian Li, Zhou Su, Qichao Xu (Shanghai University, China)

                        Content centric networks (CCNs) have emerged to deliver a large amount of contents in the
                        networks. However, it has become a new challenge to efficiently cache the contents in the CCNs.
                        Therefore, in this paper, we design a contract theory based content caching scheme to improve
                        the performance of CCNs. Firstly, a two-layer heterogeneous network model is introduced to
                        study  the  interaction  between  users  and  content  providers.  Secondly,  based  on  the  contract
                        theory, the optimal caching and pricing strategy can be obtained under two constraints in CCNs.
                        Finally, simulation experiments are carried out to prove that our proposal can efficiently improve
                        the cache performance of CCNs.


             P.2        The IEEE 1906.1 standard: Nanocommunications as a new source of data
                        Sebastian  Canovas-Carrasco,  Antonio-Javier  Garcia-Sanchez,  and  Joan  Garcia-Haro
                        (Technical University of Cartagena, Spain)

                        Nanoscale communications is a new paradigm encompassing all those concerns related to the
                        exchange  of  information  among  devices  at  the  nanometer  scale.  A  network  infrastructure
                        consisting  of  a  huge  amount  of  nano-devices  is  envisaged  to  ensure  robust,  reliable  and
                        coordinated  data  transmission.  This  will  enable  a  plethora  of  forthcoming  applications  and
                        services in many different research fields, such as personalized medicine, synthetic biology,
                        environmental science or industry, which will lead to outstanding and unprecedented advances.
                        The IEEE P1906.1 standard provides a conceptual and general framework to set the starting point
                        for future developments in nanoscale communication networks. This paper reviews the latest
                        IEEE  P1906.1  recommendations,  observing  their  main  features  when  applied  to  the
                        electromagnetic (EM) nanocommunication area. We contribute by identifying and discussing the
                        principal shortcomings of the standard, to which further research efforts must be devoted. We
                        also provide interesting guidelines for focusing the object of future investigations.

             P.3        TASIS: Trend Analysis System for International Standards
                        Myeongha Hwang (University of Science and Technology, Rep. of Korea); Minkyo In, Suwook
                        Ha, Kangchan Lee (Electronics and Telecommunications Research Institute, Rep. of Korea)


                        Recently, text mining has risen as an advanced technology that analyzes meaningful trends and
                        topics in document collections. Despite its increasing use in various research areas, there have
                        not been previous studies using document collections of international standards. In this paper,
                        we propose the Trend Analysis System for International Standards (TASIS), which automatically
                        performs  topic  modeling  and  trend  analysis  on  document  collections  of  the  International
                        Telecommunication    Union    Telecommunication    Standardization   Sector   (ITU-T)
                        Recommendations, based on a latent dirichlet allocation (LDA) algorithm. For providing Web
                        services, the TASIS performs topic modeling by exploiting user-defined parameters, such as the
                        number of topics and iterations, and the results show a list of the documents that each keyword
                        in the topic is included in. The TASIS also describes a TreeMap with the size of the extracted
                        topic as a graphical expression for easier understanding.

















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