典型文献
MEC Enabled Cooperative Sensing and Resource Allocation for Industrial IoT Systems
文献摘要：
In industrial Internet of Things systems, state estimation plays an important role in multi-sensor cooperative sensing. However, the state infor-mation received by remote control center experiences random delay, which inevitably affects the state esti-mation performance. Moreover, the computation and storage burden of remote control center is very huge, due to the large amount of state information from all sensors. To address this issue, we propose a layered network architecture and design the mobile edge com-puting (MEC) enabled cooperative sensing scheme. In particular, we first characterize the impact of ran-dom delay on the error of state estimation. Based on this, the cooperative sensing and resource allocation are optimized to minimize the state estimation error. The formulated constrained minimization problem is a mixed integer programming problem, which is ef-fectively solved with problem decomposition based on the information content of delivered data packets. The improved marine predators algorithm (MPA) is designed to choose the best edge estimator for each sensor to pretreat the sensory information. Finally, the simulation results show the advantage and effective-ness of proposed scheme in terms of estimation accu-racy.
文献关键词：
中图分类号：
作者姓名：
Yanpeng Dai;Lihong Zhao;Ling Lyu
作者机构：
School of Information Science and Technology,Dalian Maritime University,Dalian 116086,China;State Key Laboratory of Integrated Services Networks,Xidian University,Shaanxi 710071,China
文献出处：
引用格式：
[1]Yanpeng Dai;Lihong Zhao;Ling Lyu-.MEC Enabled Cooperative Sensing and Resource Allocation for Industrial IoT Systems)[J].中国通信（英文版）,2022(07):214-225
A类：
B类：
MEC,Enabled,Cooperative,Sensing,Resource,Allocation,Industrial,IoT,Systems,industrial,Internet,Things,systems,state,estimation,plays,important,role,multi,cooperative,sensing,However,received,by,remote,control,center,experiences,random,delay,which,inevitably,affects,performance,Moreover,computation,storage,burden,very,huge,due,large,amount,information,from,sensors,To,address,this,issue,layered,network,architecture,mobile,edge,puting,enabled,scheme,particular,first,characterize,impact,error,Based,resource,allocation,are,optimized,minimize,formulated,constrained,minimization,problem,mixed,integer,programming,fectively,solved,decomposition,content,delivered,data,packets,improved,marine,predators,algorithm,MPA,designed,choose,best,estimator,each,pretreat,sensory,Finally,simulation,results,show,advantage,effective,ness,proposed,terms,accu,racy
AB值：
0.62884
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