{"title":"Analysis of the Maximum Achievable Throughput of Extended Advertisements in BLE","authors":"Sukriti Gautam;Suman Kumar","doi":"10.1109/JIOT.2025.3550200","DOIUrl":null,"url":null,"abstract":"Bluetooth low energy (BLE) allows connectionless data transfer to take place through advertisements. Bluetooth Core Specification version 5.0 introduced extended advertising which allows each secondary channel advertising packet to carry up to 255 bytes of payload. Up to 1650 bytes of data can be advertised as a single transmission through chaining of multiple packets carrying fragments of advertising data. This article derives throughput expression in the presence of bit errors and analyses the maximum throughput for connectionless data transfer using extended advertisements, for all the Uncoded and Coded PHYs that offer different data rate and range capabilities. Guidelines are provided for the choice of appropriate PHYs based on the transmission size, throughput, and range requirement of the application. Simulation results have been presented that verify the analytically obtained throughput values. Since connectionless mode of communication does not allow acknowledgments from the receiver, it is essential to overcome the impact of bit errors through retransmission of each packet for increased chances of its reception. Analysis of maximum achievable throughput with retransmission of each data packet has also been presented in this article. Results suggest that the maximum achievable throughput is impacted by the duration of each transmission, due to which beyond a certain value of the data size, the low energy (LE) Coded PHYs are unable to offer significant improvement in the amount of data delivered per unit time.","PeriodicalId":54347,"journal":{"name":"IEEE Internet of Things Journal","volume":"12 12","pages":"22168-22186"},"PeriodicalIF":8.9000,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Internet of Things Journal","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10922391/","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Bluetooth low energy (BLE) allows connectionless data transfer to take place through advertisements. Bluetooth Core Specification version 5.0 introduced extended advertising which allows each secondary channel advertising packet to carry up to 255 bytes of payload. Up to 1650 bytes of data can be advertised as a single transmission through chaining of multiple packets carrying fragments of advertising data. This article derives throughput expression in the presence of bit errors and analyses the maximum throughput for connectionless data transfer using extended advertisements, for all the Uncoded and Coded PHYs that offer different data rate and range capabilities. Guidelines are provided for the choice of appropriate PHYs based on the transmission size, throughput, and range requirement of the application. Simulation results have been presented that verify the analytically obtained throughput values. Since connectionless mode of communication does not allow acknowledgments from the receiver, it is essential to overcome the impact of bit errors through retransmission of each packet for increased chances of its reception. Analysis of maximum achievable throughput with retransmission of each data packet has also been presented in this article. Results suggest that the maximum achievable throughput is impacted by the duration of each transmission, due to which beyond a certain value of the data size, the low energy (LE) Coded PHYs are unable to offer significant improvement in the amount of data delivered per unit time.
期刊介绍:
The EEE Internet of Things (IoT) Journal publishes articles and review articles covering various aspects of IoT, including IoT system architecture, IoT enabling technologies, IoT communication and networking protocols such as network coding, and IoT services and applications. Topics encompass IoT's impacts on sensor technologies, big data management, and future internet design for applications like smart cities and smart homes. Fields of interest include IoT architecture such as things-centric, data-centric, service-oriented IoT architecture; IoT enabling technologies and systematic integration such as sensor technologies, big sensor data management, and future Internet design for IoT; IoT services, applications, and test-beds such as IoT service middleware, IoT application programming interface (API), IoT application design, and IoT trials/experiments; IoT standardization activities and technology development in different standard development organizations (SDO) such as IEEE, IETF, ITU, 3GPP, ETSI, etc.