Paper Info
Title
A Distance-Window Approach For The Continuous Processing Of Spatial Data Streams
Abstract
Real-time and continuous processing of citywide spatial data is an essential requirement of smart cities to guarantee the delivery of basic life necessities to its residents and to maintain law and order. To support real-time continuous processing of data streams, continuous queries (CQs) are used. CQs utilize windows to split the unbounded data streams into finite sets or windows. Existing stream processing engines either support time-based or count-based windows. However, these are not much useful for the spatial streams containing the trajectories of moving objects. Hence, this paper presents a distance-window based approach for the processing of spatial data streams, where the unbounded streams can be split with respect to the trajectory length. Since the window operation involves repeated computation, this work presents two incremental distance-based window approaches to avoid the repetition. A detailed experimental evaluation is presented to prove the effectiveness of the proposed incremental distance-based windows.
Year
DOI
Venue
2020
10.4018/IJMDEM.2020040102
INTERNATIONAL JOURNAL OF MULTIMEDIA DATA ENGINEERING & MANAGEMENT
Keywords
DocType
Volume
Continuous Query, Data Stream, Data Structure, Distance-Based Window, Incremental Computation, Real-Time Processing, Spatial Data
Journal
11
Issue
ISSN
Citations 
2
1947-8534
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Salman Ahmed Shaikh1297.04
Akiyoshi Matono200.34
Kyoung-Sook Kim32414.07