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个人信息Personal Information
教授
博士生导师
硕士生导师
主要任职：Director of Academic Committee at Kaifa District
其他任职：开发区校区学术分委员会主任（Director of Academic Committee at Kaifa Campus）
性别：男
毕业院校：多伦多大学
学位：博士
所在单位：软件学院、国际信息与软件学院
学科：软件工程. 运筹学与控制论
办公地点：开发区（Kaifa District Campus）
联系方式：mingchul@dlut.edu.cn
电子邮箱：mingchul@dlut.edu.cn
Prediction-Based. Data Transmission for Energy Conservation in Wireless Body Sensors
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论文类型：会议论文
发表时间：2010-03-01
收录刊物：EI、CPCI-S、Scopus
摘要：Wireless body sensors are becoming popular in healthcare applications. Since they are either worn or implanted into human body, these sensors must be very small in size and light in weight. The energy consequently becomes an extremely scarce resource, and energy conservation turns into a first class design issue for body sensor networks (BSNs). This paper deals with this issue by taking into account the unique characteristics of BSNs in contrast to conventional wireless sensor networks (WSNs) for e.g. environment monitoring. A prediction-based data transmission approach suitable for BSNs is presented, which combines a dual prediction framework and a low-complexity prediction algorithm that takes advantage of PID (proportional integral-derivative) control. Both the framework and the algorithm arc generic, making the proposed approach widely applicable. The effectiveness of the approach is verified through simulations using real-world health monitoring datasets.