@inproceedings{KellerMueller2024,
  author    = {Keller, Simon and Mueller, Rainer},
  title     = {Individual Dynamic Real-Time Range Queries in Adaptive Quad Streaming},
  booktitle = {33rd International Conference on Computer Communications and Networks (ICCCN 2024), 29-31 July 2024, Kailua-Kona, HI, USA},
  isbn      = {979-8-3503-8461-1},
  doi       = {10.1109/ICCCN61486.2024.10637619},
  institution = {Fakult{\"a}t Informatik},
  pages     = {9},
  year      = {2024},
  abstract  = {Dynamic Real-Time Range Queries (DRRQ) are widely used to discover local context between mobile clients in high-density areas where both clients requested by the query and inquirers are mobile. Unlike the very well-known continuous range queries only a few approaches such as Adaptive Quad Streaming (AQS) address scalability and real-time requirements that are important for ad-hoc mobility challenges in fully distributed client networks. In this paper we address fundamental limitations of AQS presenting the new lightweight AQSdynamic which supports arbitrary, individual, and time-dependent range query shapes instead of fixed circular ones, thus covering much more realistic scenarios. More important, AQSdynamic combines the decentralized streaming approach of AQS with "subscriptions"guaranteeing a real-time behavior with constant complexity with to the number of clients.},
  language  = {en}
}