Representing arbitrary sensor observations for target tracking in wireless sensor networks
Date
2017
Authors
Sleep, S.R.
Dadej, A.
Lee, I.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Journal article
Citation
Computers and Electrical Engineering, 2017; 64:354-364
Statement of Responsibility
Conference Name
Abstract
Conventional object tracking in wireless sensor networks requires the use of predefined sensor types, which presents challenges when faced with adaptability and scalability constraints. This paper considers heterogeneous sensors and proposes a sensor-independent tracking framework. The Adaptive Grid Representation of belief Distribution (Adaptive GRiD) provides a common data format to allow heterogeneous sensors to be treated homogeneously. The proposed framework has been evaluated by simulation, and the results demonstrate that the Adaptive GRiD technique yields improved location estimation over a conventional occupancy grid approach.
School/Discipline
Dissertation Note
Provenance
Description
Access Status
Rights
Copyright 2016 Elsevier
Access Condition Notes: Accepted manuscript available after 1 January 2019