TSCH Networks for Health IoT: Design, Evaluation, and Trials in theWild

被引:22
作者
Elsts, Atis [1 ]
Fafoutis, Xenofon [2 ]
Oikonomou, George [3 ]
Piechocki, Robert [3 ]
Craddock, Ian [3 ]
机构
[1] Inst Elect & Comp Sci EDI, Dzerbenes St 14, LV-1016 Riga, Latvia
[2] Tech Univ Denmark, Odense, Denmark
[3] Univ Bristol, Bristol, Avon, England
来源
ACM TRANSACTIONS ON INTERNET OF THINGS | 2020年 / 1卷 / 02期
基金
英国工程与自然科学研究理事会;
关键词
IEEE; 802.15.4; time slotted channel hopping; sensor network deployments; Internet of Things;
D O I
10.1145/3366617
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The emerging Internet of Things has the potential to solve major societal challenges associated with healthcare provision. Low-power wireless protocols for residential Health Internet of Things applications are characterized by high reliability requirements, the need for energy-efficient operation, and the need to operate robustly in diverse environments in the presence of external interference. We enhance and experimentally evaluate the Time-Slotted Channel Hopping protocol from the IEEE 802.15.4 standard to address these challenges. Our contributions are a new schedule and an adaptive channel selection mechanism to increase the performance of time-slotted channel hopping in this domain. Evaluation in a test house shows that the enhanced system is suitable for our e-Health application and compares favorably with state-of-theart options. The schedule provides higher reliability compared with the minimal scheduling function from the IETF 6TiSCH Working Group and has a better energy-efficiency/reliability tradeoff than the Orchestra scheduler. Results from 29 long-term residential deployments confirm the suitability for the application and show that the system is able to adapt and avoid channels used by WiFi. In these uncontrolled environments, the system achieves 99.96% average reliability for networks that generate 7.5 packets per second on average.
引用
收藏
页数:27
相关论文
共 52 条
[1]  
[Anonymous], 2017 IEEE 28 ANN INT, P1
[2]  
[Anonymous], 2017, EAI ENDORSED T PERVA
[3]  
[Anonymous], 2007, 4919 RFC IETF
[4]   Using SmartMesh IP in Smart Agriculture and Smart Building applications [J].
Brun-Laguna, Keoma ;
Laura Diedrichs, Ana ;
Dujovne, Diego ;
Taffernaberry, Carlos ;
Leone, Remy ;
Vilajosana, Xavier ;
Watteyne, Thomas .
COMPUTER COMMUNICATIONS, 2018, 121 :83-90
[5]  
Chang T., 2017, 6TISCH MINIMAL SCHED
[6]  
Chen D., 2010, WirelessHART(TM): Real-Time Mesh Network for Industrial Automation
[7]   Analysis and Experimental Evaluation of IEEE 802.15.4e TSCH CSMA-CA Algorithm [J].
De Guglielmo, Domenico ;
Al Nahas, Beshr ;
Duquennoy, Simon ;
Voigt, Thiemo ;
Anastasi, Giuseppe .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2017, 66 (02) :1573-1588
[8]  
Dunkels A., 2007, P 4 WORKSH EMB NETW, P28, DOI DOI 10.1145/1278972.1278979
[9]   TSCH and 6TiSCH for Contiki: Challenges, Design and Evaluation [J].
Duquennoy, Simon ;
Elsts, Atis ;
Al Nahas, Beshr ;
Oikonomou, George .
2017 13TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING IN SENSOR SYSTEMS (DCOSS), 2017, :11-18
[10]   Orchestra: Robust Mesh Networks Through Autonomously Scheduled TSCH [J].
Duquennoy, Simon ;
Al Nahas, Beshr ;
Landsiedel, Olaf ;
Watteyne, Thomas .
SENSYS'15: PROCEEDINGS OF THE 13TH ACM CONFERENCE ON EMBEDDED NETWORKED SENSOR SYSTEMS, 2015, :337-350