Paper Title : A SURVEY ON NETWORK EMBEDDING COGNITIVE RADIO ENVIRONMENT
ISSN : 2394-2231
Year of Publication : 2021
MLA Style: S.Sambasivam MCA., M.Phil., A Seenivasan "A SURVEY ON NETWORK EMBEDDING COGNITIVE RADIO ENVIRONMENT " Volume 8 - Issue 2 March-April , 2021 International Journal of Computer Techniques (IJCT) ,ISSN:2394-2231 , www.ijctjournal.org
APA Style: S.Sambasivam MCA., M.Phil., A Seenivasan "A SURVEY ON NETWORK EMBEDDING COGNITIVE RADIO ENVIRONMENT " Volume 8 - Issue 2 March-April , 2021 International Journal of Computer Techniques (IJCT) ,ISSN:2394-2231 , www.ijctjournal.org
Network embedding assigns nodes in a network to low dimensional representations and effectively preserves the network structure. Recently, a significant amount of progresses have been made toward this emerging network analysis paradigm. In this survey, we focus on categorizing and then reviewing the current development on network embedding methods, and point out its future research directions. We first summarize the motivation of network embedding. We discuss the classical graph embedding algorithms on cognitive radio environment and their relationship with network embedding. Afterwards and primarily, we provide a comprehensive overview of a large number of network embedding methods in a systematic manner, covering the structure and property-preserving network embedding methods, the network embedding methods with side information and the advanced information preserving network embedding methods. Moreover, several evaluation approaches for network embedding and some useful online resources, including the network data sets and software, are reviewed, too. Finally, we discuss the framework of exploiting these network embedding methods to build an effective system and point out some potential future directions.
Jai Sukh Paul Singh, Jasvir Singh, A.S. Kang, “Cognitive Radio: State of Research Domain in Next Generation Wireless Networks - A Critical Analysis”, International Journal of Computer Applications (0975 – 8887) Volume 74– No.10, July 2018. Blaine Chamberlain And Geogette Jordan“ Applications of Wireless Sensors in Monitoring Indoor Air Quality in the Classroom Environment”, Research Experiences for Teachers in Sensor Networks, Summer Internship 2019,University of North Texas,NSF-1132585. Douglas S. J. De Couto, Daniel Aguayo, John Bicket, and Robert Morris, “A high-throughput path metric for multi-hop wireless routing”, Wireless Networks, vol. 11, no. 4, pp. 419–434, 2017.  Prof. B.N. Jagdale and Prof. Pragati Patil, “Analysis and Comparison of Distance Vector, DSDV and AODV Protocol of MANET”, International Journal of Distributed and Parallel Systems (IJDPS),Vol.3, No.2, March 2018.  H. Yang, Y. Qin, G. Feng, and H. Ci, “Online monitoring of geological CO2 storage and leakage based on wireless sensor networks,” IEEE Sensors Journal, vol. 13, no. 2, pp. 556–562, Feb. 2018.
—Network embedding, Radio Environment