Instant: A TSCH Schedule for Data Collection from Mobile Nodes

Low-power wearable devices are becoming increasingly important for fitness and healthcare applications. However, existing protocols based on the IEEE 802.15.4 low-power wireless standard are not optimized for data collection from mobile devices. This paper presents Instant: a schedule for the IEEE 802.15.4 TSCH protocol tailored for this application. We evaluate the data collection speed, energy consumption, and fairness of Instant, and show that Instant achieves several times higher data collection speed from mobile nodes compared with the state-of-the-art Orchestra schedule.

[1]  Elisa Bertino,et al.  Secure Seamless Bluetooth Low Energy Connection Migration for Unmodified IoT Devices , 2017, IEEE Transactions on Mobile Computing.

[2]  Thea J. M. Kooiman,et al.  Reliability and validity of ten consumer activity trackers , 2015, BMC Sports Science, Medicine and Rehabilitation.

[3]  Ian Craddock,et al.  Residential wearable RSSI and accelerometer measurements with detailed location annotations , 2018, Scientific data.

[4]  Ian K. T. Tan,et al.  Towards achieving fairness in the Linux scheduler , 2008, OPSR.

[5]  W. Marsden.  I and J , 2012 .

[6]  Rafael Vasconcelos,et al.  The Mobile Hub concept: Enabling applications for the Internet of Mobile Things , 2015, 2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops).

[7]  Fabrice Theoleyre,et al.  On the interest of opportunistic anycast scheduling for wireless low power lossy networks , 2017, Comput. Commun..

[8]  Matthias Hollick,et al.  Let's talk together: Understanding concurrent transmission in wireless sensor networks , 2013, 38th Annual IEEE Conference on Local Computer Networks.

[9]  Rüdiger Kapitza,et al.  DrySim: simulation-aided deployment-specific tailoring of mote-class WSN software , 2014, MSWiM '14.

[10]  Gian Pietro Picco,et al.  RPL, the Routing Standard for the Internet of Things . . . Or Is It? , 2016 .

[11]  T. Wark,et al.  Wireless localisation network for patient tracking , 2008, 2008 International Conference on Intelligent Sensors, Sensor Networks and Information Processing.

[12]  Carmen C. Y. Poon,et al.  Unobtrusive Sensing and Wearable Devices for Health Informatics , 2014, IEEE Transactions on Biomedical Engineering.

[13]  Mani B. Srivastava,et al.  An iBeacon primer for indoor localization: demo abstract , 2014, BuildSys@SenSys.

[14]  박세웅,et al.  RPL 기반 저전력 다중 홉 네트워크에서 상향링크 트래픽이 하향링크 패킷 전송에 미치는 영향 , 2015 .

[15]  J. Seybold.  Introduction to RF Propagation , 2005 .

[16]  Simon Duquennoy,et al.  TSCH and 6TiSCH for Contiki: Challenges, Design and Evaluation , 2017, 2017 13th International Conference on Distributed Computing in Sensor Systems (DCOSS).

[17]  Lothar Thiele,et al.  Measurement and validation of energy harvesting IoT devices , 2017, Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017.

[18]  Thomas Watteyne,et al.  Orchestra: Robust Mesh Networks Through Autonomously Scheduled TSCH , 2015, SenSys.

[19]  Nikolaos G. Bourbakis,et al.  A Survey on Wearable Sensor-Based Systems for Health Monitoring and Prognosis , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[20]  Tian He,et al.  Exploiting causes and effects of wireless link correlation for better performance , 2015, 2015 IEEE Conference on Computer Communications (INFOCOM).

[21]  Naser El-Sheimy,et al.  Smartphone-Based Indoor Localization with Bluetooth Low Energy Beacons , 2016, Sensors.

[22]  Diego Dujovne,et al.  6TiSCH Minimal Scheduling Function (MSF) , 2020, RFC.

[23]  Priyanka Kakria,et al.  A Real-Time Health Monitoring System for Remote Cardiac Patients Using Smartphone and Wearable Sensors , 2015, International journal of telemedicine and applications.

[24]  Thomas Watteyne,et al.  Technical Overview of SmartMesh IP , 2013, 2013 Seventh International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing.

[25]  Chiara Buratti,et al.  Capture effect in IEEE 802.15.4 networks: Modelling and experimentation , 2010, IEEE 5th International Symposium on Wireless Pervasive Computing 2010.

[26]  Niall Twomey,et al.  Unsupervised learning of sensor topologies for improving activity recognition in smart environments , 2017, Neurocomputing.

[27]  Andrew H. Kemp,et al.  Mobility Aware Framework for Timeslotted Channel Hopping IEEE 802.15.4e Sensor Networks , 2015, IEEE Sensors Journal.

[28]  Robert J. Piechocki,et al.  A residential maintenance-free long-term activity monitoring system for healthcare applications , 2016, EURASIP Journal on Wireless Communications and Networking.

[29]  Matthias Frank,et al.  Handoff support for mobility with IP over Bluetooth , 2000, Proceedings 25th Annual IEEE Conference on Local Computer Networks. LCN 2000.

[30]  Ingrid Moerman,et al.  Seamless roaming and guaranteed communication using a synchronized single-hop multi-gateway 802.15.4e TSCH network , 2019, Ad Hoc Networks.

[31]  Robert J. Piechocki,et al.  Enabling Healthcare in Smart Homes: The SPHERE IoT Network Infrastructure , 2018, IEEE Communications Magazine.

[32]  Jun Cheng,et al.  A Wearable Smartphone-Based Platform for Real-Time Cardiovascular Disease Detection Via Electrocardiogram Processing , 2010, IEEE Transactions on Information Technology in Biomedicine.

[33]  Lothar Thiele,et al.  Low-power wireless bus , 2012, SenSys '12.

[34]  Uday B. Desai,et al.  Mobility support for Bluetooth public access , 2002, 2002 IEEE International Symposium on Circuits and Systems. Proceedings (Cat. No.02CH37353).