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2018 | OriginalPaper | Buchkapitel

SPHERE Deployment Manager: A Tool for Deploying IoT Sensor Networks at Large Scale

verfasst von : Xenofon Fafoutis, Atis Elsts, George Oikonomou, Robert Piechocki

Erschienen in: Ad-hoc, Mobile, and Wireless Networks

Verlag: Springer International Publishing

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Abstract

Internet of Things (IoT) technology has the potential to revolutionise several domains of everyday life, including the healthcare sector. In order to reach its full potential, IoT technology needs to be evaluated in the real world, beyond controlled environments, such as laboratories and test-beds. SPHERE is an experimental sensing platform for healthcare in a residential environment. Unlike other similar smart home health systems, SPHERE is deployed in a large number of properties of volunteers. Based on our experiences and lessons learned from SPHERE’s large-scale deployments, this paper focuses on the challenge of effectively managing the sensor installation overhead, aiming at supporting our deployment technicians with achieving a satisfactory deployment throughput. In this context, this paper presents the SPHERE Deployment Manager: an open-source tool that facilitates the deployment of bespoke IoT networks by technicians that are not experts in IoT technology. We believe that the SPHERE Deployment Manager is a tool that can accelerate future IoT research deployments of similar nature and scale.

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Vorheriges Kapitel Distributed Computations in Wireless Sensor Networks by Local Interactions

Nächstes Kapitel Constructing Customized Multi-hop Topologies in Dense Wireless Network Testbeds

http://irc-sphere.ac.uk/100-homes-study.

http://www.github.com/irc-sphere/sphere-deployment-manager.

Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., Ayyash, M.: Internet of things: a survey on enabling technologies, protocols, and applications. IEEE Commun. Surv. Tutorials 17(4), 2347–2376 (2015)CrossRef

Barrenetxea, G., Ingelrest, F., Schaefer, G., Vetterli, M.: The Hitchhiker’s guide to successful wireless sensor network deployments. In: Proceedings of 6th ACM Conference Embedded Network Sensor Systems, pp. 43–56 (2008)

Diethe, T., Flach, P.: Smart-homes for ehealth: uncertainty management and calibration. In: NIPS Workshop on Machine Learning in Healthcare, December 2015

Elsts, A., Fafoutis, X., Piechocki, R., Craddock, I.: Adaptive channel selection in IEEE 802.15.4 TSCH networks. In: 2017 Global Internet of Things Summit (GIoTS), pp. 1–6 (2017)

Elsts, A., Oikonomou, G., Fafoutis, X., Piechocki, R.: Internet of things for smart homes: lessons learned from the SPHERE case study. In: Global Internet of Things Summit (GIoTS), pp. 1–6 (2017)

Elsts, A., Fafoutis, X., Pope, J., Oikonomou, G., Piechocki, R., Craddock, I.: Scheduling high-rate unpredictable traffic in IEEE 802.15. 4 TSCH networks. In: Proceedings of International Conference Distributed Computing in Sensor Systems (DCOSS), pp. 3–10. IEEE (2017)

Fafoutis, X., Elsts, A., Piechocki, R., Craddock, I.: Experiences and lessons learned from making iot sensing platforms for large-scale deployments. IEEE Access 6, 3140–3148 (2018)CrossRef

Fafoutis, X., Elsts, A., Vafeas, A., Oikonomou, G., Piechocki, R.: Demo: SPES-2 - a sensing platform for maintenance-free residential monitoring. In: Proceedings of International Conference Embedded Wireless Systems and Networks (EWSN), pp. 240–241 (2017)

Fafoutis, X., et al.: Designing wearable sensing platforms for healthcare in a residential environment. EAI Endorsed Trans. Pervasive Health Technol. 17(12), 1–11 (2017)

10.

Gao, L., Bourke, A.K., Nelson, J.: Evaluation of accelerometer based multi-sensor versus single-sensor activity recognition systems. Med. Eng. Phys. 36(6), 779–785 (2014)CrossRef

11.

Hall, J., et al.: Designing a video monitoring system for AAL applications: the SPHERE Case Study. In: IET Conference Proceedings (2016)

12.

Hnat, T.W., et al.: The Hitchhiker’s guide to successful residential sensing deployments. In: Proceedings of 9th ACM Conference Embedded Networked Sensor Systems, pp. 232–245 (2011)

13.

Islam, S.R., Kwak, D., Kabir, M.H., Hossain, M., Kwak, K.S.: The internet of things for health care: a comprehensive survey. IEEE Access 3, 678–708 (2015)CrossRef

14.

Karadogan, S., Marchegiani, L., Hansen, L., Larsen, J.: How efficient is estimation with missing data? In: Proceedings of 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2260–2263. IEEE (2011)

15.

Ko, J., Lu, C., Srivastava, M.B., Stankovic, J.A., Terzis, A., Welsh, M.: Wireless sensor networks for healthcare. Proc. IEEE 98(11), 1947–1960 (2010)CrossRef

16.

Krishnamurthy, B., Wills, C.E.: On the leakage of personally identifiable information via online social networks. In: Proceedings of 2nd ACM Workshop on Online Social Networks, pp. 7–12. ACM, New York (2009)

17.

Langendoen, K., Baggio, A., Visser, O.: Murphy loves potatoes: experiences from a pilot sensor network deployment in precision agriculture. In: Proceedings of 20th IEEE International Parallel Distributed Processing Symposium, pp. 1–8 (2006)

18.

Livingston, G., Blizard, B., Mann, A.: Does sleep disturbance predict depression in elderly people? A study in inner London. Br. J. Gen. Pract. 43(376), 445–448 (1993)

19.

Marchegiani, L., Posner, I.: Leveraging the urban soundscape: auditory perception for smart vehicles. In: 2017 IEEE International Conference on Robotics and Automation (ICRA), pp. 6547–6554, May 2017

20.

Maurer, U., Smailagic, A., Siewiorek, D., Deisher, M.: Activity recognition and monitoring using multiple sensors on different body positions. In: International Workshop on Wearable and Implantable Body Sensor Networks (BSN) (2006)

21.

Mottola, L., Picco, G.P., Ceriotti, M., Gunǎ, S., Murphy, A.L.: Not all wireless sensor networks are created equal: a comparative study on tunnels. ACM Trans. Sen. Netw. 7(2), 15:1–15:33 (2010)

22.

Pfeffer, R., Kurosaki, T., Harrah Jr., C., Chance, J., Filos, S.: Measurement of functional activities in older adults in the community. J. Gerontol. 37(3), 323–329 (1982)CrossRef

23.

Strübe, M., Lukas, F., Li, B., Kapitza, R.: DrySim: simulation-aided deployment-specific tailoring of mote-class WSN software. In: Proceedings of 17th ACM International Conference Modeling, Analysis and Simulation of Wireless and Mobile Systems, pp. 3–11 (2014)

24.

Vafeas, A., et al.: Energy-efficient, noninvasive water flow sensor. In: Proceedings of 4th IEEE International Conference Smart Computing (SMARTCOMP) (2018)

25.

Woznowski, P., et al.: SPHERE: a sensor platform for healthcare in a residential environment. In: Angelakis, V., Tragos, E., Pöhls, H.C., Kapovits, A., Bassi, A. (eds.) Designing, Developing, and Facilitating Smart Cities, pp. 315–333. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-44924-1_14CrossRef

Titel: SPHERE Deployment Manager: A Tool for Deploying IoT Sensor Networks at Large Scale
verfasst von: Xenofon Fafoutis
Atis Elsts
George Oikonomou
Robert Piechocki
Verlag: Springer International Publishing
Buch: Ad-hoc, Mobile, and Wireless Networks
Print ISBN: 978-3-030-00246-6

Electronic ISBN: 978-3-030-00247-3

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-030-00247-3_27

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