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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Computer Communicati...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Computer Communications
Article . 2010 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
DBLP
Article . 2020
Data sources: DBLP
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Minimizing recovery overhead in geographic ad hoc routing

Authors: Jongkeun Na; Young-Jin Kim 0001; Ramesh Govindan;

Minimizing recovery overhead in geographic ad hoc routing

Abstract

Geographic routing has been studied as an attractive approach due to its simplicity and scalability properties in routing for wireless ad hoc networks. Greedy routing is an important component of many geographic routing protocols which use a combined routing approach; a kind of recovery routing is used in case that greedy routing is impossible. In this paper, we propose the stateless extension of greedy routing called GR(k) that implements a k-bound forwarding algorithm where the parameter k controls the routing success rate and the corresponding overhead. We design three k-bound forwarding algorithms and evaluate which one is best via extensive simulation. The proposed approach improves the success rate of greedy routing by 20-40% at low node densities but in low overhead. These improvements mitigate the adverse effect of recovery routing (e.g. face routing) because the use of recovery routing is minimized; In particular, using GR(k) instead of greedy routing can reduce the number of packet transmissions up to 50%. We show that GR(k) is effective in reducing the average hop stretch in geographic routing by at most 30%.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
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