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Adaptive Communications Networks Research Group

Organisation profile

Organisation profile

This research group focuses on a range of networking architectures from mobile systems to ad-hoc sensor networks. Techniques involve the design of advanced digital systems for application-specific embedded systems and advanced algorithms for improving network efficiency. The Group uses state-of-the-art dynamic field programmable gate array hardware to examine physical implementations of these principles.

Research Studentships

The group has access to EPSRC funded studentships. We are particularly interested in candidates interested in ad-hoc networking and mobile systems. Full funding is available to EU citizens, non-EU citizens may apply but they must provide full funding for fees and maintenance. Formal applications should be submitted to the research office of the School of Engineering and Applied Science.

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  3. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  4. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities
  5. SDG 13 - Climate Action
    SDG 13 Climate Action

Fingerprint

Dive into the research topics where Adaptive Communications Networks Research Group is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
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  • Cooperative Vehicle Identification for Safe Connected Autonomous Driving

    Tang, Z., He, J. & Zheng, J., 1 Sept 2023, 2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops). IEEE, (2023 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2023).

    Research output: Chapter in Book/Published conference output › Conference publication

    1   Link opens in a new tab Citation (Scopus)

  • Investigating and Modeling of Cooperative Vehicle-to-Vehicle Safety Stopping Distance

    Knowles Flanagan, S., Tang, Z., He, J. & Yusoff, I., 10 Mar 2021, In: Future Internet. 13, 3, p. 1-24 24 p., 68.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    File
    18   Link opens in a new tab Citations (SciVal)
    35 Downloads (Pure)

  • Enhanced Object Detection with Deep Convolutional Neural Networks for Advanced Driving Assistance

    Wei, J., He, J., Zhou, Y., Chen, K., Tang, Z. & Xiong, Z., 1 Apr 2020, In: IEEE Transactions on Intelligent Transportation Systems. 21, 4, p. 1572 - 1583 12 p., 8694965.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    File
    110   Link opens in a new tab Citations (SciVal)
    264 Downloads (Pure)
View all 282 research outputs
View all 5 student theses
  • 1 Editorial activity
  • 1 Publication peer-review