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Enabling dynamic and lightweigth management of distributed Bluetooth low energy devices
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH). KTH.
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH).
2018 (English)In: 2018 International Conference on Computing, Networking and Communications, 2018, p. 615-619Conference paper, Published paper (Refereed)
Abstract [en]

Bluetooth Low Energy (BLE) is a wireless communication technology for Internet of Things (IoT) applications. Although recent versions of BLE embrace the 6LoWPAN standard for IPv6 low-power device communication, this is often not the best choice for constrained-node networks due to downsides such as increased memory and computation overhead, heavier network stack, increased power consumption, backward incompatibility, etc. A crucial requirement for successful IoT solutions is an efficient strategy for monitoring and control of highly distributed sensor nodes. In this paper, we propose a dynamic and lightweight model for management of distributed constrained BLE nodes based on OMA Lightweight M2M (LWM2M) protocol. To this end, we have designed a new intermediate component, a BLELWM2M gateway (GW), which has dual roles: a BLE master that monitors and controls the BLE devices, and a LWM2M client that acts on behalf of an operator's LWM2M management server. The BLE-LWM2M GW has interfaces to dynamically manage connected BLE devices as LWM2M objects, called ObjectTwins, in runtime without a need for user configuration. All services that BLE devices provide are mapped to the ObjectTwins in the gateway, which are exposed to the LWM2M server. Hence, this model enables a LWM2M server to manage distributed BLE devices by interacting with the BLE-LWM2M GW using the LWM2M standard methods, and the constrained devices can still use a native Bluetooth communication protocol. To verify its feasibility, a prototype of a mobile healthcare system has been implemented in a testbed.

Place, publisher, year, edition, pages
2018. p. 615-619
National Category
Communication Systems
Research subject
Electrical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-224837ISBN: 978-1-5386-3651-0 (electronic)OAI: oai:DiVA.org:kth-224837DiVA, id: diva2:1193392
Conference
2018 International Conference on Computing, Networking and Communications
Note

QC 20180327

Available from: 2018-03-26 Created: 2018-03-26 Last updated: 2024-03-15Bibliographically approved

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Lindh, ThomasHa, Min Keun

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Citation style
  • apa
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Language
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Output format
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