2011
DOI: 10.1016/j.adhoc.2010.11.007
|View full text |Cite
|
Sign up to set email alerts
|

A survey of cross-layer design for VANETs

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
27
0

Year Published

2013
2013
2022
2022

Publication Types

Select...
5
4

Relationship

0
9

Authors

Journals

citations
Cited by 86 publications
(27 citation statements)
references
References 30 publications
0
27
0
Order By: Relevance
“…A detailed survey of cross-layer design in VANETs has also been presented in [31]. The paper has shown four different cross-layer optimisation approaches namely M1, M2, M3 and M4.…”
Section: Related Workmentioning
confidence: 98%
See 1 more Smart Citation
“…A detailed survey of cross-layer design in VANETs has also been presented in [31]. The paper has shown four different cross-layer optimisation approaches namely M1, M2, M3 and M4.…”
Section: Related Workmentioning
confidence: 98%
“…PROMPT cross layer routing is based on the delay information of each path from source to destination [31]. However, it is described that the knowledge of average delay along a path is not sufficient to make correct path selection decision because each source can additionally add bundle of multiple packets with same path.…”
Section: Prompt: Cross-layer Routingmentioning
confidence: 99%
“…Vehicular networks are characterized by the high-speed mobility, directions, and heterogeneous wireless network conditions that cause frequent route disruptions and changes in the network topology [12]. The high-speed mobility causes frequent handovers in vehicular networks.…”
Section: Vehicular Network and Handover Decisionmentioning
confidence: 99%
“…In the original OSI networking model, strict boundaries are enforced between the layers, where information is kept strictly within its original layer [10]. Cross-layer design removes such strict boundaries to allow communication between the layers by permitting one layer to access another layer information [11].…”
Section: Mobility Adaptive Cross-layer De-signmentioning
confidence: 99%