A prediction-based protocol for online target tracking in VSNs

Abdessamed Derder (), Lyes Khelladi () and Zouina Doukha ()
Additional contact information
Abdessamed Derder: CERIST
Lyes Khelladi: CERIST
Zouina Doukha: USTHB

Telecommunication Systems: Modelling, Analysis, Design and Management, 2021, vol. 78, issue 3, No 8, 377-389

Abstract: Abstract In this paper, we propose the use of a prediction approach for real-time tracking in VSNs. Our solution anticipates the target’s future direction and concentrates the tracking process in specific zones to enhance the tracking precision. Furthermore, it optimizes the network load by concentrating tracking data in the predicted zones and thereby lightens the overhead on the rest of the network. To achieve this, the prediction module calculates probabilities of undertaking each direction at intersections on the basis of three parameters: road type, checkpoints avoidance and direction trends. We have conducted a stimulative study considering two types of movement profile : known and unknown profile respectively. Simulation results show a prediction success rate above 60% and up to 85% for the known profile scenarios. In addition, the performance comparison with a previous solution revealed a significant decrease in terms of network overhead, reaching a network load of 3080,622 bits/s using the prediction module as compared to 5006,88 bits for the previous protocol.

Keywords: VANET; VSN; Traget tracking; Prediction; Vehicle cooperation; V2V; V2I (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11235-021-00819-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:telsys:v:78:y:2021:i:3:d:10.1007_s11235-021-00819-5

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/11235

DOI: 10.1007/s11235-021-00819-5

Access Statistics for this article

Telecommunication Systems: Modelling, Analysis, Design and Management is currently edited by Muhammad Khan

More articles in Telecommunication Systems: Modelling, Analysis, Design and Management from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().