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Journal of Electrical and Computer Engineering
Volume 2017, Article ID 1360289, 11 pages
https://doi.org/10.1155/2017/1360289
Research Article

Health Monitoring System for Nursing Homes with Lightweight Security and Privacy Protection

1School of Computer and Information and the University Key Laboratory of Intelligent Perception and Computing of Anhui Province, Anqing Normal University, Anqing 246011, China
2School of Computer and Information, Anqing Normal University, Anqing 246011, China

Correspondence should be addressed to Yu’e Jiang; moc.361@eoaixsw

Received 9 November 2016; Revised 21 December 2016; Accepted 23 January 2017; Published 7 March 2017

Academic Editor: Liangmin Wang

Copyright © 2017 Yu’e Jiang and Jiaxiang Liu. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

With the rapid growth of aged population in China, it is urgent to design a safe and effective monitoring system for the nursing homes. An optimized scheme and high performance security and privacy protection for monitoring system have already become the focus studied especially. So this paper proposed a health monitoring system with lightweight security and privacy protection for nursing homes. Dual-band RFID, virtual routing location algorithm, and diet and exercise data collection based on RFID were adopted to obtain the location and health information. And that fused a mobile authentication protocol based on Hash function to realize security access and privacy protection, which can improve security and reduce the complexity of calculation and the implementation cost compared with the typical authentication protocols. The experiment results show that the ratio of relative network delay is below 35%. The system has strong real-time, high security, more comprehensive data, and lower cost of computation and communication. It can satisfy the requirements of health monitoring for nursing homes.