TY  - CPAPER
U1  - Konferenzveröffentlichung
A1  - Keller, Simon
A1  - Mueller, Rainer
T1  - Individual Dynamic Real-Time Range Queries in Adaptive Quad Streaming
T2  - 33rd International Conference on Computer Communications and Networks (ICCCN 2024), 29-31 July 2024, Kailua-Kona, HI, USA
N2  - 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.
KW  - Adaptive quad streaming
KW  - Range queries
KW  - Spatial subscriptions
KW  - Streaming-based decentralization
Y1  - 2024
SN  - 979-8-3503-8461-1
SB  - 979-8-3503-8461-1
SN  - 979-8-3503-4843-9
SB  - 979-8-3503-4843-9
U6  - https://doi.org/10.1109/ICCCN61486.2024.10637619
DO  - https://doi.org/10.1109/ICCCN61486.2024.10637619
N1  - Volltext im Campusnetz der Hochschule Konstanz via Datenbank IEEE Xplore abrufbar.
SP  - 9
S1  - 9
PB  - IEEE
ER  -