Qisong Wang, Xin Chai, Y. Wang, Dan Liu, Ming Chen, Yong Li, Xin Liu, Ou Bai
{"title":"用于实时数据采集和控制的高数据速率、多节点无线个人区域传感器网络","authors":"Qisong Wang, Xin Chai, Y. Wang, Dan Liu, Ming Chen, Yong Li, Xin Liu, Ou Bai","doi":"10.1109/EIIS.2017.8298564","DOIUrl":null,"url":null,"abstract":"Traditional wireless personal-area sensor network accesses physiological signals from a small number of sensor nodes under a low data communication rate. Some clinical applications, e.g. gait control and posture analysis, may need to access physiological signals from a large number of sensor nodes across body under a faster data communication speed in real-time or at least near real-time. This clinical need introduces a new challenge in the design of high-throughput wireless bodyarea sensor networks with a large capacity of sensor nodes. This paper describes the design of a high-throughput, multi-nodes wireless sensor network platform based on the state-of-the-art single-chip microcontroller unit technology with built-in Wi-Fi connectivity. Experimental test demonstrated that the developed wireless sensor network platform was able to support multi-nodes sensor access (10–20) concurrently under a high data sampling rate (>500Hz) in near real-time with a very low packet lost rate (<1%). The designed platform may serve as an alternative solution complement to those wireless sensor networks enabled by the low-power, low-communication rate technology.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"A high data rate, multi-nodes wireless personal-area sensor network for real-time data acquisition and control\",\"authors\":\"Qisong Wang, Xin Chai, Y. Wang, Dan Liu, Ming Chen, Yong Li, Xin Liu, Ou Bai\",\"doi\":\"10.1109/EIIS.2017.8298564\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Traditional wireless personal-area sensor network accesses physiological signals from a small number of sensor nodes under a low data communication rate. Some clinical applications, e.g. gait control and posture analysis, may need to access physiological signals from a large number of sensor nodes across body under a faster data communication speed in real-time or at least near real-time. This clinical need introduces a new challenge in the design of high-throughput wireless bodyarea sensor networks with a large capacity of sensor nodes. This paper describes the design of a high-throughput, multi-nodes wireless sensor network platform based on the state-of-the-art single-chip microcontroller unit technology with built-in Wi-Fi connectivity. Experimental test demonstrated that the developed wireless sensor network platform was able to support multi-nodes sensor access (10–20) concurrently under a high data sampling rate (>500Hz) in near real-time with a very low packet lost rate (<1%). The designed platform may serve as an alternative solution complement to those wireless sensor networks enabled by the low-power, low-communication rate technology.\",\"PeriodicalId\":434246,\"journal\":{\"name\":\"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EIIS.2017.8298564\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EIIS.2017.8298564","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A high data rate, multi-nodes wireless personal-area sensor network for real-time data acquisition and control
Traditional wireless personal-area sensor network accesses physiological signals from a small number of sensor nodes under a low data communication rate. Some clinical applications, e.g. gait control and posture analysis, may need to access physiological signals from a large number of sensor nodes across body under a faster data communication speed in real-time or at least near real-time. This clinical need introduces a new challenge in the design of high-throughput wireless bodyarea sensor networks with a large capacity of sensor nodes. This paper describes the design of a high-throughput, multi-nodes wireless sensor network platform based on the state-of-the-art single-chip microcontroller unit technology with built-in Wi-Fi connectivity. Experimental test demonstrated that the developed wireless sensor network platform was able to support multi-nodes sensor access (10–20) concurrently under a high data sampling rate (>500Hz) in near real-time with a very low packet lost rate (<1%). The designed platform may serve as an alternative solution complement to those wireless sensor networks enabled by the low-power, low-communication rate technology.