Adaptive Resource Allocation Algorithm for Internet of Things with Bandwidth Constraint  

作　　者：李征 刘开华 苏育挺 马永涛 

机构地区：[1]School of Electronic Information Engineering,Tianjin University

出　　处：《Transactions of Tianjin University》2012年第4期253-258,共6页天津大学学报（英文版）

基　　金：Supported by Natural Science Foundation of Tianjin (No. 07JCZDJC05800);Science and Technology Supporting Plan of Tianjin (No. 09ZCKFGX29200)

摘　　要：In order to improve the transmission accuracy and efficiency of sensing and actuating signals in Internet of Things （loT） and ensure the system stability, an adaptive resource allocation algorithm is proposed, which dynami- cally assigns the network bandwidth and priority among components according to their signals＇ frequency domain characteristics. A remote sensed and controlled unmanned ground vehicle （UGV） path tracking test-bed was devel- oped and multiple UGV＇s tracking error signals were measured in the simulation for performance evaluation. Results show that with the same network bandwidth constraints, the proposed algorithm can reduce,, the accumulated and maximum errors of UGV path tracking by over 60% compared with the conventional static algorithm.In order to improve the transmission accuracy and efficiency of sensing and actuating signals in Internet of Things(IoT) and ensure the system stability,an adaptive resource allocation algorithm is proposed,which dynamically assigns the network bandwidth and priority among components according to their signals' frequency domain characteristics.A remote sensed and controlled unmanned ground vehicle(UGV) path tracking test-bed was developed and multiple UGV's tracking error signals were measured in the simulation for performance evaluation.Results show that with the same network bandwidth constraints,the proposed algorithm can reduce the accumulated and maximum errors of UGV path tracking by over 60% compared with the conventional static algorithm.

关 键 词：Intemet of Things bandwidth constraint adaptive resource allocation sampling rate scheduling 

分 类 号：TP393.4[自动化与计算机技术—计算机应用技术]