D2D Trust Ecosystem


Project Overview

Funding: 2 Years (2017 ~ 2018)

Partners: TUM (Germany) and HKUST (Hong Kong)

Description

The advancement of Device-to-Device (D2D) ecosystems has inspired mobile applications to utilize nearby mobile devices. In D2D ecosystems, mobile users communicate via WiFi-direct, Bluetooth or NFC, move opportunistically and form temporary and delay-tolerant networks without infrastructure. D2D applications can be executed in more than one device and exploit the paradigm of computation offloading. Yet, D2D ecosystems are challenging to deploy due to 1) the incentives required to motivate mobile users to participate; 2) the limited computational resources and battery constraints and 3) the unpredictability of connectivity due to users' movement. In practical scenarios, when mobile users seek help from their neighbors, it requires non-trivial decisions to maximize their utility. Although existing research on energy-efficient mobile computing and mobility modeling have studied the issues (2) and (3), the fundamental issue of user incentives in D2D context and how to implement it in practice are still open problems.

To this end, we will pursue the following research goals in this project: 1. Analyze and characterize the various types of interactions between mobile devices in a D2D ecosystem and justify the need for trust- and reputation-based schemes. 2. Investigate trust- and reputation-based schemes in D2D ecosystems to identify the state-of-the-art and key components. 3. Formulate a theoretic foundation for the system framework that can enable efficient and decentralized D2D neighbor selection mechanisms. 4. Design corresponding algorithms and communication protocols for the proposed framework. 5. Deploy the design on prototype smartphones and wearable devices, and demonstrate the system framework through D2D proximate services such as video compression offloading and collaborative sensing. 6. Evaluate and analyze the framework through simulations and real systems in operational networks to show the performance, and analyze its economic and social impact. 7. Release the system implementation under open-source licenses to promote follow-up research from the community.

Publications


Project Members


 TU Munich
Prof. Dr. Jörg Ott

Project Co-Leader
Chair of Connected Mobility, TUM
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Dr. Aaron Yi Ding

Project Co-Leader
Chair of Connected Mobility, TUM
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Vittorio Cozzolino

PhD Researcher
Chair of Connected Mobility, TUM
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Michael Haus

PhD Researcher
Chair of Connected Mobility, TUM
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 HKUST
Dr. Pan Hui

Project Co-Leader
Department of Computer Science and Engineering, HKUST
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Dimitrios Chatzopoulos

PhD Researcher
Department of Computer Science and Engineering, HKUST
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Carlos Bermejo Fernández

PhD Researcher
Department of Computer Science and Engineering, HKUST
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Wenxiao ZHANG

PhD Researcher
Department of Computer Science and Engineering, HKUST
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