Survey on recent advances in IoT application layer protocols and machine learning scope for research directions  

作　　者：Praveen Kumar Donta Satish Narayana Srirama Tarachand Amgoth Chandra Sekhara Rao Annavarapu 

机构地区：[1]Department of Computer Science and Engineering,Indian Institute of Technology(Indian School of Mines),Dhanbad,826004,India [2]School of Computer and Information Sciences,University of Hyderabad,Hyderabad,500046,India [3]Mobile&Cloud Lab,Institute of Computer Science,Faculty of Science and Technology,University of Tartu,50090,Estonia

出　　处：《Digital Communications and Networks》2022年第5期727-744,共18页数字通信与网络（英文版）

基　　金：The authors would like to thank DST(SERB),Government of India for grant No.EEQ/2018/000888;The work was also supported by the Archimedes Foundation under the Dora plus Grant 11-15/OO/11476;We also acknowledge financial support to UoH-IoE by MHRD(F11/9/2019-U3(A)).

摘　　要：The Internet of Things(IoT)has been growing over the past few years due to its flexibility and ease of use in real-time applications.The IoT's foremost task is ensuring that there is proper communication among different types of applications and devices,and that the application layer protocols fulfill this necessity.However,as the number of applications grows,it is necessary to modify or enhance the application layer protocols according to specific IoT applications,allowing specific issues to be addressed,such as dynamic adaption to network conditions and interoperability.Recently,several IoT application layer protocols have been enhanced and modified according to application requirements.However,no existing survey articles focus on these protocols.In this article,we survey traditional and recent advances in IoT application layer protocols,as well as relevant real-time applications and their adapted application layer protocols for improving performance.As changing the nature of protocols for each application is unrealistic,machine learning offers means of making protocols intelligent and is able to adapt dynamically.In this context,we focus on providing open challenges to drive IoT application layer protocols in such a direction.

关 键 词：Internet of things Machine learning Application layer Request-response protocols Publish-subscribe protocols 

分 类 号：TN92[电子电信—通信与信息系统]