Evaluation of a Compound Node Selection Function for a Greedy Routing in Urban Vehicular Ad Hoc Networks
The greedy routing that reduces the Euclidean distance to destination continuously to the possible maximum in every forwarding is suitable for vehicular ad hoc networks with high node mobility due to operation simplicity and low overhead. However, the selection of a next forwarding node based on the forward progress distance alone suffers from varying link conditions by high node mobility and communication obstructions. Thus, a compound node selection function is developed to include link quality factor. In this function, the accuracy of the forward progress distance largely depends on the node location error that comes from either GPS measurement error or the elapse of time after measurement. Location prediction is conducted by the Kalman filter and link quality is assessed using the successfully transmitted Hello messages. The compound function is evaluated against variations of fading and shadowing effects and the injected GPS error and is applied to a greedy routing protocol to prove its superiority.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/18770509
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Supplemental Notes:
- © 2018 Chi Trung Ngo et al. Published by Elsevier B.V. Abstract reprinted with permission of Elsevier. 13th International Conference on Future Networks and Communications (FNC 2018).
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Authors:
- Ngo, Chi Trung
- Hoang, Quy Lam
- Oh, Hoon
- Publication Date: 2018
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: pp 259-266
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Serial:
- Procedia Computer Science
- Volume: 134
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 1877-0509
- Serial URL: http://www.sciencedirect.com/science/journal/18770509
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Location; Mobility; Routing; Urban areas; Vehicular ad hoc networks
- Subject Areas: Highways; Operations and Traffic Management;
Filing Info
- Accession Number: 01679800
- Record Type: Publication
- Files: TRIS
- Created Date: Aug 30 2018 5:29PM