Proceedings of the 6th International Workshop on Discrete Algorithms and Methods for Mobile Computing and Communications 2002
DOI: 10.1145/570810.570814
|View full text |Cite
|
Sign up to set email alerts
|

Asymptotically optimal geometric mobile ad-hoc routing

Abstract: In this paper we present AFR, a new geometric mobile adhoc routing algorithm. The algorithm is completely distributed; nodes need to communicate only with direct neighbors in their transmission range. We show that if a best route has cost c, AFR finds a route and terminates with cost O(c 2 ) in the worst case. AFR is the first algorithm with cost bounded by a function of the optimal route. We also give a tight lower bound by showing that any geometric routing algorithm has worst-case cost Ω(c 2 ). Thus AFR is … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4

Citation Types

0
79
0

Year Published

2005
2005
2014
2014

Publication Types

Select...
6
2

Relationship

1
7

Authors

Journals

citations
Cited by 209 publications
(79 citation statements)
references
References 23 publications
(31 reference statements)
0
79
0
Order By: Relevance
“…The underlying assumption of this model is that the nodes are placed in the plane, all of them having the same transmission range-normalized to a radius of one unit of length. In the unit disk graph model a considerable number of theoretical results have been found with respect to aspects of wireless ad hoc and sensor networks as diverse as topology control [11,20,70,72,73], the construction of dominating sets [2,22,23,26,28,37,43,71], network initialization [40,55,56] and deployment [54], geographic routing [44,45,47], or positioning [60]. A more general model is provided by disk graphs.…”
Section: Related Workmentioning
confidence: 99%
See 2 more Smart Citations
“…The underlying assumption of this model is that the nodes are placed in the plane, all of them having the same transmission range-normalized to a radius of one unit of length. In the unit disk graph model a considerable number of theoretical results have been found with respect to aspects of wireless ad hoc and sensor networks as diverse as topology control [11,20,70,72,73], the construction of dominating sets [2,22,23,26,28,37,43,71], network initialization [40,55,56] and deployment [54], geographic routing [44,45,47], or positioning [60]. A more general model is provided by disk graphs.…”
Section: Related Workmentioning
confidence: 99%
“…An important issue of such precomputation is the reduction of interference effects, message complexity, or energy consumption. Sometimes, algorithms need network graphs with special properties; for example all face-routing based geographic routing algorithms [10,30,35,44,45,47] need a planar graph to operate correctly. For unit disk graphs, a number of different ideas in order to reduce the complexity of the network topology have been proposed.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…To guarantee delivery, Face Routing [20] was proposed which walks along faces of planar graphs and proceeds along the line connecting the source and the destination. To reduce the cost of finding optimal route, Adaptive Face Routing (AFR) [21] basically enhancing Face Routing using an ellipse restricting the searchable area. For practical purposes, the GOAFR algorithm [22] was introduced that combines greedy and face routing.…”
Section: Related Work and Design Challengementioning
confidence: 99%
“…The unit disk graph model has been used to represent ad hoc networks with identical devices being deployed in order to derive insightful theoretical results in diverse research topics, such as security[9,14], network connectivity[3,15], routing[16,23,24], and topology control[48].…”
mentioning
confidence: 99%