Information freshness optimization of multiple status update streams in Internet of things:Generation rate control and service rate reservation  

作　　者：Tianci Zhang Junjie Zhou Zhengchuan Chen Zhong Tian Wanli Wen Yunjian Jia 

机构地区：[1]School of Microelectronics and Communication Engineering,Chongqing University,Chongqing,400044,China [2]National Mobile Communications Research Laboratory,Southeast University,Nanjing,China

出　　处：《Digital Communications and Networks》2023年第4期971-980,共10页数字通信与网络（英文版）

基　　金：sponsored by the National Natural Science Foundation of China under Grant 61901066,Grant 61971077;sponsored by Natural Science Foundation of Chongqing,China under Grant cstc2019jcyjmsxmX0575,Grant cstc2021jcyj-msxmX0458;in part by the Entrepreneurship and Innovation Support Plan of Chongqing for Returned Overseas Scholars under Grant cx2021092;supported by the open research fund of National Mobile Communications Research Laboratory,Southeast University(No.2021D13,No.2022D06);the Industrial Internet innovation and development project(No.TC200A00M).

摘　　要：The Internet of things(IoT)has become a key infrastructure providing up-to-date and fresh information for policy analysis and decision-making of upper-layer applications.However,there are limited sensing and communication resources in IoT devices,which significantly affects the timeliness and freshness of the updated status.This work proposes two schemes,namely,the generation rate control and service rate reservation schemes,to improve the overall information freshness of multiple status update streams at the receiver.Specifically,using the recently proposed Age of Information(AoI)as the metric for evaluating information freshness,we characterized the overall information freshness,i.e.,the overall average AoI at the receiver for both schemes,by considering the urgency difference of status update and streams.Both schemes for status updates and streams,respectively,were formulated as two optimization problems.We proved that both problems are convex and the optimal generation and service rates for different streams are found by the standard convex optimization algorithm.Moreover,we proposed both approximate optimal generation and approximate optimal service rate for fast deployment in heavy and light load cases.Numerical results verify the theoretical findings and accuracy of the proposed approximate solutions,guiding the design and deployment of IoT.

关 键 词：Internet of things Information freshness Age of information Multi-source M/M/1 queuing model 

分 类 号：TN91[电子电信—通信与信息系统]