Quantization Strategies of RFID Routing in Internet of Things

Abstract:

This paper researches wireless RFID routings in Internet of Things based on the idea of quantization. The researches include the obtaining of routing contexts, the measurement of contexts in evaluating the performance of routing, methods for controlling the quantification of contexts, the realization of a perceptive computational model, the mergence of the security policies. Its goal is to construct a precise lightweight and perceptive model of wireless RFID routing protocols in Internet of Things, and to lay a foundation for accelerating the developments in Internet of Things.

• Periodical: Applied Mechanics and Materials (Volume 203)
• Pages: 148-152
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.203.148
• Online since: October 2012
• Authors: Song Sen Yu, Xiao Peng Huang, Jian Yang
• Keywords: Contexts, Information Quantification, Internet of Things (IOT), RFID Routing

References

[1] Shahbazi Saeed, Harwood Aaron, Karunasekera Shanika, Achieving ubiquitous network connectivity using an RFID tag-based routing protocol, Proceedings of the 2008 14th IEEE International Conference on Parallel and Distributed Systems, pp.391-398.

DOI: 10.1109/icpads.2008.29

[2] Zuniga Marco, Hauswirth Manfred, Hansel: Distributed localization in passive wireless environments, 2009 6th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON (2009).

DOI: 10.1109/sahcn.2009.5168937

[3] Cabrera Altamirano Iván, Rodríguez Henríquez Francisco, A scalable intelligent room based on wireless sensor networks and RFIDs , Program and Abstract Book - 2010 7th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2010, pp.434-439.

DOI: 10.1109/iceee.2010.5608607

[4] Lu Xu, The research on the cluster-based RFID wireless sensor network routing protocol, PHD thesis of Guangdong University of Uechnology, (2009).

[5] Madan B, Goševa-Popstojanova K, Vaidyanathan K, Trivedi KS. Modeling and quantification of security attributes of software systems. In: Proc. of the Int'l Conf. on Dependable Systems and Networks (DSN 2002). Washington: IEEE Computer Society, 2002. 505−514.

DOI: 10.1109/dsn.2002.1028941

[6] Hu Hanping, Chen Xiang, Zhang Baoliang, Guo Wenxuan, An Approach to Measure and Evaluate the Network Security, journal of software , 2005 Vol. 16 No. 11, p.1939-(1945).

DOI: 10.1109/ipdps.2005.46

[7] Chen Xiuzhen, Zhen Qinghua, Guan Xiaohong, Lin Chengguang, Quantitative Hierarchical Threat Evaluation Model for Network Security, Journal On Communications, Vol. 17, No. 4, April 2006, p.885−897.

[8] Pan Haijun, Lu Kuijun, Wu Chaohui, Research of Trust Quantification Based on Grid System , Application Research Of Computers, 2005. 10, pp.49-55.

[9] Zhou Yan, The quantification-based estimation and fusion of target states in wireless sensor network, PHD thesis of Shanghai Jiao Tong Uniersity, (2010).

[10] LU Jun, RUAN Qiu—qi, Quantified Cost-Balanced Routing for Overlay Multicast, Chinese Journal Of Electronics, 2006 Vo. l34 No. 7, pp.1316-1320.

[11] Yang Guang, Research on Secure Routing Protocols for Wireless Sensor Networks, PHD thesis of Harbin Engineering University, (2009).

[12] Zhang Hong Bin, Yang Chao, Ma Jian Feng, Adjoining trust based routing security assessment, Journal Of JiLin University (Engineering And Technology Edition), Vol. 39 No. 2 (2009).