Ye Liu;Pei Tian;Carlo Alberto Boano;Xiaoyuan Ma;Qing Yang;Honggang Wang
{"title":"A Low-Cost and Infrastructure-Less LoRa Wireless Network Testbed for Cognitive Internet of Things","authors":"Ye Liu;Pei Tian;Carlo Alberto Boano;Xiaoyuan Ma;Qing Yang;Honggang Wang","doi":"10.1109/TCCN.2024.3461671","DOIUrl":null,"url":null,"abstract":"Low-power wide area network (LPWAN) testbeds are essential for cognitive communications and networking, as they provide practical and controlled environments for testing, validating, and advancing cognitive technologies in the cognitive Internet of Things (IoT). However, establishing extensive outdoor testbeds faces a significant challenge due to the lack of robust infrastructure, limiting testing to indoor settings or a small number of devices. This constraint prevents adequate testing of cognitive communications and networking techniques. In this article, we introduce ChirpBox: an innovative, infrastructure-free, and cost-effective LPWAN testbed that revolutionizes the utilization of LoRa nodes. Beyond their conventional role in experimentation, these nodes in ChirpBox orchestrate all operations, from disseminating firmware for testing to collecting log traces at the conclusion of each test cycle. This holistic approach is enabled by our development of an all-to-all multi-channel protocol that leverages concurrent transmissions for efficient communication across multi-hop LoRa networks. Following a detailed presentation of ChirpBox’s design and implementation, we demonstrate its capabilities through a practical deployment. This evaluation offers experimental insights into the testbed’s performance, illustrating its operations and highlighting its potential to advance cognitive IoT research and development.","PeriodicalId":13069,"journal":{"name":"IEEE Transactions on Cognitive Communications and Networking","volume":"11 2","pages":"1133-1145"},"PeriodicalIF":7.0000,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Cognitive Communications and Networking","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10680422/","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
Low-power wide area network (LPWAN) testbeds are essential for cognitive communications and networking, as they provide practical and controlled environments for testing, validating, and advancing cognitive technologies in the cognitive Internet of Things (IoT). However, establishing extensive outdoor testbeds faces a significant challenge due to the lack of robust infrastructure, limiting testing to indoor settings or a small number of devices. This constraint prevents adequate testing of cognitive communications and networking techniques. In this article, we introduce ChirpBox: an innovative, infrastructure-free, and cost-effective LPWAN testbed that revolutionizes the utilization of LoRa nodes. Beyond their conventional role in experimentation, these nodes in ChirpBox orchestrate all operations, from disseminating firmware for testing to collecting log traces at the conclusion of each test cycle. This holistic approach is enabled by our development of an all-to-all multi-channel protocol that leverages concurrent transmissions for efficient communication across multi-hop LoRa networks. Following a detailed presentation of ChirpBox’s design and implementation, we demonstrate its capabilities through a practical deployment. This evaluation offers experimental insights into the testbed’s performance, illustrating its operations and highlighting its potential to advance cognitive IoT research and development.
期刊介绍:
The IEEE Transactions on Cognitive Communications and Networking (TCCN) aims to publish high-quality manuscripts that push the boundaries of cognitive communications and networking research. Cognitive, in this context, refers to the application of perception, learning, reasoning, memory, and adaptive approaches in communication system design. The transactions welcome submissions that explore various aspects of cognitive communications and networks, focusing on innovative and holistic approaches to complex system design. Key topics covered include architecture, protocols, cross-layer design, and cognition cycle design for cognitive networks. Additionally, research on machine learning, artificial intelligence, end-to-end and distributed intelligence, software-defined networking, cognitive radios, spectrum sharing, and security and privacy issues in cognitive networks are of interest. The publication also encourages papers addressing novel services and applications enabled by these cognitive concepts.