Collab-SAR: A Collaborative Avalanche Search-and-Rescue Missions Exploiting Hostile Alpine Networks

  • Md Arafatur Rahman
  • , Saiful Azad
  • , A. Taufiq Asyhari
  • , Md Zakirul Alam Bhuiyan*
  • , Khoirul Anwar
  • *Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    24 Citations (SciVal)
    Original languageEnglish
    Article number8398223
    Pages (from-to)42094-42107
    Number of pages14
    JournalIEEE Access
    Volume6
    DOIs
    Publication statusPublished (VoR) - 26 Jun 2018

    Funding

    The work of M. A. Rahman was supported in part by the RDU Research through Universiti Malaysia Pahang under Grant RDU1603129 and in part by the Smart Collaboration Between Humans and Ground-Aerial Robots for Improving Rescuing Activities in Alpine Environments Project ) through the European Community under the Seventh Framework Programme. The work of A. T. Asyhari and K. Anwar was supported in part by the EPSRC Global Challenge Research Fund—Cranfield Institutional Allocation under the RHENIUM Project and in part by LPDP through the PATRIOT-Net: Prevention and Recovery Networks for Indonesia Natural Disasters Based on the Internet of Things Project under Grant KEPDIR-6.1/LPDP/2017. The work of M. A. Rahman was supported in part by the RDU Research through Universiti Malaysia Pahang under Grant RDU1603129 and in part by the Smart Collaboration Between Humans and Ground-Aerial Robots for Improving Rescuing Activities in Alpine Environments Project ) through the European Community under the Seventh Framework Programme. The work of A. T. Asyhari and K. Anwar was supported in part by the EPSRC Global Challenge Research Fund-Cranfield Institutional Allocation under the RHENIUM Project and in part by LPDP through the PATRIOT-Net: Prevention and Recovery Networks for Indonesia Natural Disasters Based on the Internet of Things Project under Grant KEPDIR-6.1/LPDP/2017.

    Keywords

    • Air-ground collaborative wireless network
    • WiMAX
    • alpine scenarios
    • unmanned aerial robots
    • unmanned ground vehicles
    • α-level probabilistic search technique

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