DocumentCode
498764
Title
Greedy routing with guaranteed delivery using Ricci flows
Author
Sarkar, Rik ; Yin, Xiaotian ; Gao, Jie ; Luo, Feng ; Gu, Xianfeng David
Author_Institution
Dept. of Comput. Sci., Stony Brook Univ., Stony Brook, NY, USA
fYear
2009
fDate
13-16 April 2009
Firstpage
121
Lastpage
132
Abstract
Greedy forwarding with geographical locations in a wireless sensor network may fail at a local minimum. In this paper we propose to use conformal mapping to compute a new embedding of the sensor nodes in the plane such that greedy forwarding with the virtual coordinates guarantees delivery. In particular, we extract a planar triangulation of the sensor network with non-triangular faces as holes, by either using the nodes´ location or using a landmark-based scheme without node location. The conformal map is computed with Ricci flow such that all the non-triangular faces are mapped to perfect circles. Thus greedy forwarding will never get stuck at an intermediate node. The computation of the conformal map and the virtual coordinates is performed at a preprocessing phase and can be implemented by local gossip-style computation. The method applies to both unit disk graph models and quasi-unit disk graph models. Simulation results are presented for these scenarios.
Keywords
conformal mapping; telecommunication network routing; wireless sensor networks; Ricci flows; conformal mapping; geographical locations; gossip-style computation; greedy forwarding; greedy routing; landmark-based scheme; node location; quasi-unit disk graph models; wireless sensor network; Accuracy; Approximation algorithms; Batteries; Monitoring; Road transportation; Routing; Scheduling algorithm; Sensor phenomena and characterization; Telecommunication traffic; Wireless sensor networks; Conformal Mapping; Greedy Forwarding; Ricci Flow; Sensor Networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Processing in Sensor Networks, 2009. IPSN 2009. International Conference on
Conference_Location
San Francisco, CA
Print_ISBN
978-1-4244-5108-1
Electronic_ISBN
978-1-60558-371-6
Type
conf
Filename
5211935
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