ISSN 1000-1239 CN 11-1777/TP

计算机研究与发展 ›› 2010, Vol. 47 ›› Issue (5): 737-753.

• •    下一篇


宫继兵1,2,3 王 睿1 崔 莉1   

  1. 1(中国科学院计算技术研究所 北京 100190) 2(燕山大学计算机科学与工程系 河北秦皇岛 066004) 3(中国科学院研究生院 北京 100190) (
  • 出版日期: 2010-05-15

Research Advances and Challenges of Body Sensor Network (BSN)

Gong Jibing1,2,3, Wang Rui1, and Cui Li1   

  1. 1(Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190) 2(Department of Computer Science and Engineering, Yanshan University, Qinhuangdao, Hebei 066004) 3(Graduate University of Chinese Academy of Sciences, Beijing 100190)
  • Online: 2010-05-15

摘要: 作为WSN的分支和物联网的重要组成部分,BSN通过应用泛在计算、智能信息处理和新型网络化等技术来提高人民医疗保健的水平,并因此日益受到研究人员和企业的关注.已有的研究综述分别在BSN的生物传感器、无线通信架构和数据安全等方面给出了充分讨论.将着重在数据融合、情景感知和系统技术这3个方面总结BSN领域的技术挑战、研究现状和发展趋势.并给出了BSN基本概念和研究状况分析,讨论了BSN系统架构、代表性应用及项目研究,阐述了BSN未来研究展望和应用前景,提出了限制BSN发展的实际问题.虽然BSN还面临诸多挑战,但必然会朝着多种技术相结合的智能化方向发展,并成为未来医疗健康监护的必然选择.

关键词: 体域网, 信息融合, 情景感知, BSN系统技术, 物联网

Abstract: As one branch of WSN and important part of the Internet of Things, Body Sensor Network(BSN) is utilized to improve people's Healthcare and Medicine by pervasive computing, intelligent information processing, new network technologies and services. So, it is paid more and more attention to by researchers and enterprises. Existing survey researches have given full discussion on the advances and challenges of BSN's biosensor, wireless communication architecture and data security. However, focused on in this paper are BSN's data fusion, context-aware sensing, and system technologies from perspectives of technology challenges, research advance and development trend. It introduces basic concepts and research situation of BSN are introduced. Besides, BSN's system architecture, representative applications and research projects are introduced. At the same time, future research and application prospects of BSN are given. Some practical problems about restriction on BSN research and development are also presented. The contributions are to propose the BSN architecture, analyze the challenges of BSN, and point out the practical problems restricting BSN's development. Through studying abundant references and designing effective introduction structure, the hot and key scientific issues about BSN are given clearly and thus helps other researchers, especially beginners, to know BSN's situation well. At last, although lots of challenges still exist, the developing trend of BSN will be that multi-techniques are integrated to achieve intelligence, effectiveness and usability of it. And, BSN will become an inevitable choice for future healthcare monitoring service.

Key words: body sensor network(BSN), information fusion, context-aware sensing, system technologies of BSN, Internet of things