摘要
随着越来越多的物理实体传感器被接入互联网,在此基础上延伸出的物联网应用中,基于距离相关的传感器搜索服务有着广阔的发展前景。对于实现传感器数据的访问以找到所寻求的目标过程,将导致巨大的通信开销,因此,提出了一个高效的传感器排名机制,以提高传感器搜索服务系统的性能;设计了低成本的近似表示法应用于表示传感器的输出端,从而降低传感器的发射能耗。然后,根据上报的传感器数据建立一个随时间变化的预测模型,基于该模型预测传感器未来数据的输出;还提出了一种排名方法用来评估与搜索查询的传感器的匹配程度。仿真结果表明,提出的传感器排名机制可以在很大程度上节约能耗,减少通信开销,具备较好的使用价值。
Nowadays,massive object attached sensors have been connected to the Internet,which makes the range based sensor search a promising service in the Internet of Things(IoT).Accessing all available sensors to find sought targets would lead to tremendous communication overhead,thus we propose an efficient sensor ranking mechanism to enhance the performance of sensor search system.The low cost approximate representation method is designed to represent sensor output and reduce the reporting energy cost.Then based on the reported data a time dependent prediction method is presented to estimate the future sensor measurements.Furthermore,a ranking method is given to evaluate the match degree of a sensor with the search query.Simulation results demonstrate that our mechanism can largely save energy consumption and reduce the communication overhead.
作者
漆晶
文玉梅
QI Jing;WEN Yumei(Research Center of Sensors and Instruments, College of Optoelectronic Engineering, Chongqing University, Chongqing 400044, P.R.China;Chongqing Key Lab of Mobile Communications Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065,P.R. China)
出处
《重庆邮电大学学报（自然科学版）》
CSCD
北大核心
2017年第5期704-710,共7页
Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition)
基金
The Science and Technology Project Affiliated to the Education Department of Chongqing Municipality(KJ1500433)
The Natural Science Foundation of Chongqing University of Posts and Telecommunications(A2012-97)~~
