Journal of Computers, Vol 7, No 7 (2012), 1647-1654, Jul 2012
doi:10.4304/jcp.7.7.1647-1654

A Pervasive Computing Model of Internet of Things based on Computing Area Network

Benjun Guo, Jianhong Gan, Jingwen Su, Yuewen Hu, Jun Lu

Abstract


Pervasive computing is considered as a new computing model providing computing and services, representing developing direction of the coming generation of information.  The emergence of The Network of Things makes changes to the environment of pervasive computingļ¼Œ and the internet of users expanded the spaces and information. It also sets an even higher demand on pervasive computing and upgrade support service and promotes pervasive computing becoming the basic computing model of internet of things.  Basing on the new hierarchy computing model of pervasive computing, a new control system model of computing area network (called CAN-CSM) is presented in this paper, regarding as core implement and virtual computing nodes.  The internet of things is composition of a large number of CAN. The main function of CAN is reconstruction of virtual equipments dynamically, and it can describes ability, execute estimation, delivering work, providing Data+Code+Status service migrations.   In the context of internet of things, things part of "computing area network" can be seen as an abstract "reconfigurable" computer, which is a great innovative way.


Keywords


Internet of Things; Pervasive Computing; computing area network; Control System Model; DCS

References


 

[1] Weiser, M.The Computer for the Twenty- First Century [J].Scientific American, 1991(3):94-100.
http://dx.doi.org/10.1038/scientificamerican0991-94

[2] EPCglobal,the EPCglobal Network:Overview of Design,Benefits,& Security, 2004.

[3] Yu Ying-qun,Cai Xiao-dong On the instability of slotted ALOHA with capture[J]. IEEE Trans on Wireless Communications,2006,5(2):257-261.

[4] Zhang Yunyong, Liu Jinde. Mobile agent technology [M]. Beijing: Tsinghua University Press, 2003:20-34[11].

[5] Dejan Molojicic.Mobile Agent application from Trend Wars.IEEE concurrency.

[6] Huang hai-ping,Wang ru_chuan,Sun li-juan,Jiang hao.Pervasive Computing scence Apperceive Model Based on Agent & Wireless Sensor Networks[J] Journal of Nanjing University of Posts and Telecommunications.2008. vol. 28 No.2.

[7] TENNENHOUSE D L,SMITH J M,SINCOKIE W D,et al.A survey of active network research[J].IEEE Communication Magazine,1997,35(1):80-85.
http://dx.doi.org/10.1109/35.568214

[8] Lu Jun,Lu Xianliang,Han Hong,Wei Qingsong. ACAWM: High Perlormance Write Cache Manage Mechanism for NAS[J] computer science 2002 vol.29 No.12.

[9] Zhao Long-en,Hou yi-bin. capability description for cooperation Agents[J] MINI-MICRO system.2003 vol.24 No.2

[10] Li Yun,Luo Lei,Xiong Guang-ze.The Adaptive technology for pervasive computing [J]. Acta electronica sinca.2004 vol.32 No.5

[11] Guo Benjun, Lu Jun, Yue Xi, Huang Jian. “A New Virtual Computing Model of Area Network”[J]. 2010 International Conference on Future Computer,control and Communication(IEEE). Vo2 .13-16

[12] Gong Mei,Wang Peng,Wu Yue. Transparency dynamic feed-back load ba lancing a lgorithm based on cluster system[J]. ComputerApp lications .Nov. 2007 Vol. 27 No. 11.

[13] C. Gentry. Fully homomorphic encryption using ideal lattices. In Proc. of STOC,pages 169_178. ACM, 2009.

[14] Lu Jun,Lu Xianliang,Han Hong,Xu Teng. The Research of Mobile Agent-based Distributed File System[J]. Computer Science. 2002, 29(10).

[15] Shen Zhan-feng,Luo Jian-cheng,Cai Shao-hua,zheng Jian, chen Qiu-xiao,Sun Qing-hui. Architecture of Grid-GIS and Its Key Techniques[J]. Geo-Information Science.2003 5(4).


Full Text: PDF


Journal of Computers (JCP, ISSN 1796-203X)

Copyright @ 2006-2013 by ACADEMY PUBLISHER – All rights reserved.