Tong Meng

tongm2 [at] illinois [dot] edu
  • PhD: 2016-2021 (Expected)

  • Computer Science, University of Illinois at Urbana-Champaign.

  • M.S.: 2013-2016

  • Computer Science and Technology, Shanghai Jiao Tong University.

  • B.S.: 2009-2013

  • Computer Science and Technology, Shanghai Jiao Tong University.

I am currently a PhD student in the System and Networking group at UIUC, working with my awesome advisor Prof. Brighten Godfrey. Before joining UIUC, I have been working in Advanced Network Lab at SJTU since 2011, supervised by Prof. Fan Wu. I visited Prof. Xinyu Zhang at UW-Madison from 2014.09 to 2015.08.

My research interests include high-performance transport layer protocol, optimization in software-defined networking, etc. My previous research experiences encompass wireless and social networking, and mobile computing, which mainly involve protocol design, system implementation based on software radios and mobile devices.

Research Projects

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    Cellular Resale Market

    Full-fledge DMart system realizing a resale market for cellular data, involving energy-efficient competitive pricing and user-space routing.

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    Robust Neighbor Discovery in Mobile Wireless Networks

    Neighbor Discovery co-existing with background interfering wireless streams.

    Despite plenty of neighbor discovery protocols, their beaconing mechanism is vulnerable to abundant interference in mobile wireless communication environment. In practice, that leads to unacceptable increased discovery latency, and fails to guarantee successful discovery in some cases.

    Thus, we employ the cross-correlation property of pseudo-random symbol sequence to design novel and robust neighbor discovery techniques. Our ReCorder technique employs a correlatable message structure, and effectively enhances the robustness of neighbor discovery, e.g., it brings a 10 dB gain in SINR tolerance.

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    Efficient Deterministic Neighbor Discovery

    Deterministic Neighbor Discovery Protocols with high energy and time efficiency.

    The surge of proximity-based applications on mobile devices have led to needs for highly effective and energy-efficient neighbor discovery protocols. Meanwhile, existing protocols leave much space for performance improvement.

    Taking advantage of perfect difference set, we propose neighbor discovery protocols, Diff-Code and ADiff-Code, for both symmetric and asymmetric duty-cycled scenarios. They are designed based on a code-based problem formulation, from which we derive the lower bound for discovery latency. (A)Diff-Codes significantly reduce the discovery latency, provided the same device duty cycles.

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    Spatial Reusability-Aware Routing in Multi-Hop Wireless Networks

    High end-to-end throughput routing considering reusability.

    We consider the spatial reusability of the wireless communication media, and propose novel routing protocols to improve end-to-end throughput. Our SASR and SAAR algorithms both produce tremendous throughput gains (e.g., up to 2.9x in single-path routing).

Papers

Journal Articles

2017

2016

Conference Papers

2018

2017

2015

2014

2012

Unpublished Works

This is Anfield!

Honors and Awards

2016

  • Computer Science Excellence Fellowship

    UIUC CS Department Fellowships.

  • Outstanding Graduates Awards

    Shanghai, China.

2015

  • Google Excellence Scholarship

    Awarded for suprior academic achievement.

  • Student Travel Grant

    ACM CoNEXT 2015.

2014

  • National Scholarship, China

    Awarded to master students.

2012

  • Academic Excellence Scholarship, SJTU

    Second Prize.

2011

  • Academic Excellence Scholarship, SJTU

    Third Prize.

2010

  • Academic Excellence Scholarship, SJTU

    Second Prize.

Professional Services

Technical Program Committee

  • IEEE GLOBECOM 2015.

Journal Reviewer

  • Information Science (INS) since 2013.

External Reviewer

  • IEEE INFOCOM 2013-2015, IEEE ICDCS 2013, IEEE WCNC 2013, ICCCN 2013, etc.
  • IEEE/ACM Transactions on Networking (TON), IEEE Transactions on Mobile Computing (TMC), IEEE Transactions on Computers (TC), Ad Hoc and Sensor Wireless Networks (AHSWN), etc.