| 1. |
- Brenning, Magnus, et al.
(author)
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NeTraWeb - A Web-Based Traffic Flow Performance Meter
- 2006
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In: 4th Swedish National Computer Networking Workshop SNCNW 2006.
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Conference paper (peer-reviewed)abstract
- This paper presents a web-based traffic flow performance meter. The NeTraWeb tool configures and automates the measurement activities, including storage and presentation of the main performance parameters.
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| 2. |
- Ha, Minkeun, et al.
(author)
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Distributed Performance Management of Internet of Things as a Service for Caregivers
- 2017
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In: 2017 IEEE 19TH INTERNATIONAL CONFERENCE ON E-HEALTH NETWORKING, APPLICATIONS AND SERVICES (HEALTHCOM). - : IEEE. - 9781509067046 ; , s. 1-6
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Conference paper (peer-reviewed)abstract
- This paper presents a multi-layer distributed performance management model for Internet of Things (IoT) as a service for caregivers. Performance monitoring and control of IoT devices and services are vital functions for e-health systems. Cloud-based IoT systems with centralized data centers further underline the need for distributed management. The main contribution of this paper is a model and prototype implementation that combines low-complexity policy-based and conventional network management with cloud computing paradigm, lightweight IoT protocols, and their data models. A case study on monitoring of heart activity demonstrates interworking between OMA Lightweight M2M protocol, Bluetooth low energy GATT services, and Azure IoT hub cloud platform to enable distributed policy-based performance management.
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| 3. |
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| 4. |
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| 5. |
- Lindh, Thomas, 1950-, et al.
(author)
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A performance monitoring method for wireless sensor networks
- 2008
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In: PETRA '08 Proceedings of the 1st international conference on PErvasive Technologies Related to Assistive Environments. - New York : ACM. - 9781605580678
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Conference paper (peer-reviewed)abstract
- This paper presents a monitoring method and its implementation as a light-weight end-to-end performance meter for quality-demanding applications in wireless sensor networks. The use of performance feedback information for control and management is also considered. The method is evaluated in a wireless sensor network testbed for healthcare applications.
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| 6. |
- Lindh, Thomas, 1950-, et al.
(author)
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Enabling dynamic and lightweigth management of distributed Bluetooth low energy devices
- 2018
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In: 2018 International Conference on Computing, Networking and Communications. - : IEEE. - 9781538636510 - 9781538636527 ; , s. 615-619
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Conference paper (peer-reviewed)abstract
- 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.
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| 9. |
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| 10. |
- Lindh, Thomas, 1950-, et al.
(author)
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Performance Control in Wireless Sensor Networks
- 2009
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In: Pervasive Computing Technologies for Healthcare, 2009. PervasiveHealth 2009. 3rd International Conference on. - : IEEE. - 9789639799424
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Conference paper (peer-reviewed)abstract
- This paper presents an implementation of a method for performance control in wireless body sensor networks based on measurement feedback, especially targeted for demanding healthcare applications.
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