Thi Thuy Nga Dinh

Norwegian version of this page Department of Computer Science and Communication

Norwegian version of this page Position

Associate Professor

Contact

thi.t.dinh@hiof.no

Study place

Halden

Office nr.

R & D interests

IoT connectivity, Smart home, Embedded systems, Wireless Sensor Networks
Quality of user experience / Quality of service (QoE / QoS)
Energy Efficiency, Energy Harvesting, Wireless Power Transfer.
Network resource management
Wireless technologies: 5G, Zigbee, BT, BLE, WiFi, LoRaWAN, LWM2M Specification, Thread
Wireline standards: XG-PON, NG-PON, EPONs

Development: RTOS, embedded Linux, IoT platform, device management, sensor framework

Background

Nga Dinh got her Ph.D. degree from the Korean Advanced Institute of Science and Technology (KAIST), Korea. After graduation, she worked as a Member of Technical Staff at Bell Labs, Seoul location and then as a senior engineer at the Software Center, Samsung Electronics (Korea). She also worked with few universities. Nga Dinh is currently an Associate Professor at the Faculty of Computer Sciences, Østfold University College, Norway.

Her works focus on wireless technologies that can be used for IoT devices (Zigbee, BT, BLE, Thread, 5G, LoRaWAN etc..); energy informatics, wired / wireless standards, and network optimizations. She is interested in development tasks, and experimental research.

Positions

Associate Professor, Østfold University College, Norway (Sep. 2019 - present)
Adjunct Associate Professor, The Arctic University of Norway (UiT), Norway (Sep. 2019- present)
Senior Engineer, Samsung Electronics, Korea
Member of Technical Staff, Alcatel-Lucent Bell Labs, Seoul location.

Partners

The Arctic University of Norway, Norway

Research groups

Cyber-physical systems

Dinh, Nga & Haugen, Øystein (2022). Charging Scheduling Algorithm for Wireless-Powered Communication Networks, IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society. IEEE (Institute of Electrical and Electronics Engineers). ISSN 978-1-6654-8025-3. doi: 10.1109/IECON49645.2022.9968357.
Dinh, Nga; Tveito, Øystein & Haugen, Øystein (2021). Performance Evaluation for Energy Harvesting (EH)-based Sensor Nodes Under LoRaWAN Connectivity. In Bahk, Saewoong; Tran-Gia, Phuoc; Van der Spiegel, Jan & Quynh, Nguyen Xuan (Ed.), 2020 IEEE Eighth International Conference on Communications and Electronics (ICCE). IEEE (Institute of Electrical and Electronics Engineers). ISSN 978-1-7281-5471-8. p. 64–69. doi: 10.1109/ICCE48956.2021.9352044. Show summary
Sustainable operation is one of the key challenges for Internet of Thing (IoT) sensor nodes because they are usually powered by limited battery power. Many IoT applications require the sensor nodes to operate reliably and consistently for a long period of time. Approaches to prolong the lifespan of sensor nodes include sleep-mode mechanism, harvesting energy from the environment (such as light, wind, water mills...) and from a dedicated power supply. Energy harvesting (EH) from nature has emerged as especially promising because it is clean, free and does not interrupt operation of the nodes. Long-Range Wide Area Network (LoRaWAN) can provide low-power, low-cost, and long-range communication for IoT nodes. In LoRaWAN, a node can extend its lifetime by using a deep-sleep mechanism. Even though the lifetime can be extended by the deep-sleep mechanism, it is expected to further extend the lifespan to reduce or eliminate the replacement of outage devices. Due to the potentials of LoRaWAN for IoT and the importance of EH approach to provide sustainable operation for IoT nodes, this paper focuses on using both EH and the deep-sleep mechanism in LoRaWAN to significantly prolong the lifetime of sensor nodes. In particular, the paper proposes a new power metric, called power gradient, to evaluate power performance of the network. The paper also estimates the performance of EH-based sensor nodes in terms of power gradient and lifetime. The proposed metric provides some insights on parameters configuration to achieve the desirable lifetime of EH-based nodes under LoRaWAN.
Dinh, Thi Thuy Nga; Tveito, Øystein; Ha, Hoai Phuong & Anshus, Otto (2021). Implementation and Performance Analysis for Energy Harvesting-based Wireless Sensor Networks, IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society. IEEE (Institute of Electrical and Electronics Engineers). ISSN 978-1-6654-3554-3. doi: 10.1109/IECON48115.2021.9589684.
Dinh, Nga & Haugen, Øystein (2020). Analysis and Power Scheduling Algorithm in Wireless Powered Communication Networks, 16th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob 2020). IEEE (Institute of Electrical and Electronics Engineers). ISSN 978-1-7281-9722-7. doi: 10.1109/WiMob50308.2020.9253379.
Abbas, Khurshid; Chockalingam, Sabarathinam; Dinh, Nga & Katta, Vikash (2020). A Prototype Tool for Distinguishing Attacks and Technical Failures in Industrial Control Systems. Norsk Informasjonssikkerhetskonferanse (NISK). ISSN 1893-6563. 13(3). Show summary
Critical Infrastructures (CIs) are governed by Industrial Control Systems (ICSs). Modern ICSs do not operate in isolation anymore, but they are connected to the Internet. This transformation introduced numerous advantages, however, there are a few drawbacks as well. Integration with the Internet has left ICS exposed to potential cyber-attacks. Additionally, ICSs could also encounter technical failures during operation. Consequently, it is crucial to distinguish between attacks and technical failures to initiate an appropriate response. There is a deficiency of robust technology to assist operators in distinguishing attacks and technical failures in an ICS environment. However, a framework is proposed to construct Bayesian Network (BN) models that would help to distinguish between attacks and technical failures for different observable problems in our previous work. There are tools available to implement such BN models, but these tools are not appropriate to use in an ICS environment. In order to address this limitation, this paper develops and demonstrates a prototype tool for swift identification of the major cause (Intentional Attack/Accidental Technical Failure) in case of an abnormal behaviour in a component of ICS. The proposed tool enables BN models to automatically update prior probabilities based on the historical data and/or expert knowledge corresponding to the application. The developed tool can be further evaluated and used to distinguish between attacks and technical failures during operation in CIs where ICSs are employed.
Dinh, Nga & Ha, Hoai Phuong (2019). Advanced GTS Scheduling in IEEE 802.15.4 Networks for Industrial Application. In Kang, Joonhyuk (Eds.), Proceedings of the 16th IEEE Annual Consumer Communications & Networking Conference (CCNC). IEEE (Institute of Electrical and Electronics Engineers). ISSN 978-1-5386-5553-5. p. 1–4. doi: 10.1109/CCNC.2019.8651809.
Dinh, Thi Thuy Nga & Ha, Hoai Phuong (2018). Resource Management for Improving Performance of IEEE 802.15.4-Based Home Automated Systems, GLOBECOM 2018. IEEE Sarnoff Symposium. ISSN 978-1-5386-4920-6. doi: 10.1109/GLOCOM.2018.8647804.

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Dinh, Thi Thuy Nga; Tveito, Øystein & Haugen, Øystein (2021). Performance Evaluation for Energy Harvesting (EH)-based Sensor Nodes Under LoRaWAN Connectivity.
Dinh, Nga & Haugen, Øystein (2020). Analysis and Power Scheduling Algorithm in Wireless Powered Communication Networks.
Dinh, Nga & Ha, Hoai Phuong (2020). Method and System for Controlling an Energy Harvesting Operation in a Wireless Terminal Device.
Dinh, Nga (2019). Resource Management for IEEE 802.15.4-based Smart HAN in Smart Grid.
Dinh, Thi Thuy Nga & Ha, Hoai Phuong (2019). Cooperative Energy Harvesting Approach in Wireless Technologies.
Dinh, Thi Thuy Nga & Ha, Hoai Phuong (2018). Resource Management for Improving Performance of IEEE 802.15.4-Based Home Automated Systems.
Dinh, Nga; P.N, Anthapadmanabhan & Anwar, Walid (2017). Optical Network Element and Method of Operating an Optical Network Element.
Dinh, Nga; Madan Kanth, Lanka; Dwarka Prasad, Dayama; Markus, Jung; Ashok Babu, Channa & Naga Ashok Babu, Jampani [Show all 8 contributors for this article] (2017). Terminal device and control method therefore.
Dinh, Nga & Sangsoon, Lim (2017). Device for wireless network and computer readable recording medium including communication method thereof.
Dinh, Nga & Sangsoon, Lim (2017). Devices for a wireless network system and communication methods thereof.
Jie, Li; Chien Aun, Chan; Ka-Lun, Lee; N. Prasanth, Anthapadmanabhan; Dinh, Nga & Peter, Vetter (2013). Method and Apparatus for Managing Data Transmission In A Communication Network.
Anthapadmanabhan, N. Prasanth; Dinh, Nga; Walid, Anwar & Wijngaarden, Adriaan (2013). Analysis of a probing-based cyclic sleep mechanism for passive optical networks.

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Published Aug. 20, 2019 12:22 PM - Last modified June 29, 2023 2:54 PM