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Adaptive Resource Allocation Algorithm for Internet of Things with Bandwidth Constraint

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【作者】 李征刘开华苏育挺马永涛

【Author】 LI Zheng,LIU Kaihua,SU Yuting,MA Yongtao(School of Electronic Information Engineering,Tianjin University,Tianjin 300072,China)

【机构】 School of Electronic Information Engineering,Tianjin University

【摘要】 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.

【Abstract】 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.

【基金】 Supported by Natural Science Foundation of Tianjin (No. 07JCZDJC05800);Science and Technology Supporting Plan of Tianjin (No. 09ZCKFGX29200)
  • 【文献出处】 Transactions of Tianjin University ,天津大学学报(英文版) , 编辑部邮箱 ,2012年04期
  • 【分类号】TP393.4
  • 【被引频次】3
  • 【下载频次】63
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