2008 International Conference on Computer and Communication Engineering 2008
DOI: 10.1109/iccce.2008.4580609
|View full text |Cite
|
Sign up to set email alerts
|

Topology prediction and convergence for networks on mobile vehicles

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2008
2008
2016
2016

Publication Types

Select...
3
2

Relationship

0
5

Authors

Journals

citations
Cited by 6 publications
(2 citation statements)
references
References 8 publications
0
2
0
Order By: Relevance
“…As a result, more APs points will be available to handle the traffic of the network when more services are required [26]. Topology control can be used to improve the QoS in mobile wireless networks [27]. The principle of predicting the topology of a dynamic Network by estimating the location of nodes depending on Network surrounding environment was presented in [27], where a new algorithm called Topology Convergence (TC) was proposed to estimate the nodes location then predict the topology of the dynamic network and update routing tables according to that estimation.…”
Section: B Topology Predictionmentioning
confidence: 99%
See 1 more Smart Citation
“…As a result, more APs points will be available to handle the traffic of the network when more services are required [26]. Topology control can be used to improve the QoS in mobile wireless networks [27]. The principle of predicting the topology of a dynamic Network by estimating the location of nodes depending on Network surrounding environment was presented in [27], where a new algorithm called Topology Convergence (TC) was proposed to estimate the nodes location then predict the topology of the dynamic network and update routing tables according to that estimation.…”
Section: B Topology Predictionmentioning
confidence: 99%
“…Topology control can be used to improve the QoS in mobile wireless networks [27]. The principle of predicting the topology of a dynamic Network by estimating the location of nodes depending on Network surrounding environment was presented in [27], where a new algorithm called Topology Convergence (TC) was proposed to estimate the nodes location then predict the topology of the dynamic network and update routing tables according to that estimation. This algorithm gives two advantages to the dynamic networks by saving the bandwidth by reducing the control packets and reducing the delay to find a path to the destination, because routes are always available by using topology prediction.…”
Section: B Topology Predictionmentioning
confidence: 99%