DocumentCode
623814
Title
SINUS: A scalable and distributed routing algorithm with guaranteed delivery for WSNs on high genus 3D surfaces
Author
Tianlong Yu ; Hongbo Jiang ; Guang Tang ; Chonggang Wang ; Chen Tian ; Yu Wu
Author_Institution
Dept. of Electron. & Inf. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
fYear
2013
fDate
14-19 April 2013
Firstpage
2175
Lastpage
2183
Abstract
In this paper, we put forward a novel scalable and distributed routing algorithm, called SINUS, for sensor networks deployed on the surface of complex-connected 3D settings such as tunnels, whose topologies are often theoretically modeled as high genus 3D surfaces. SINUS is carried out by first slicing the genus-n surface along a maximum cut set based on Morse theory and Reeb graph, in order to form a genus-0 surface with 2n boundaries. Then, it groups these 2n boundaries into two groups each of which is next connected together. By doing so, a genus-0 surface with exactly two boundaries emerges, which can be flattened into a strip, using the Ricci flow algorithm and next mapped to a planar annulus by Möbius Transform. By assigning nodes virtual coordinates on the planar annulus, SINUS finally realizes a variation of greedy routing to enable individual nodes to make local muting decisions. Our simulation results show that SINUS can achieve low-stretch routing with guaranteed delivery, as well as balanced traffic load.
Keywords
graph theory; set theory; telecommunication network routing; wireless sensor networks; Mobius transform; Morse theory; Reeb graph; Ricci flow algorithm; SINUS; WSN; complex connected 3D setting; distributed routing algorithm; greedy routing; guaranteed delivery; high genus 3D surface; local muting decision; maximum cut set; planar annulus; scalable routing algorithm; traffic load balancing; virtual coordinate; Indexes; Measurement; Network topology; Routing; Strips; Topology; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
INFOCOM, 2013 Proceedings IEEE
Conference_Location
Turin
ISSN
0743-166X
Print_ISBN
978-1-4673-5944-3
Type
conf
DOI
10.1109/INFCOM.2013.6567020
Filename
6567020
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