DocumentCode :
2159243
Title :
On the relevance of alpha-hulls to the boundary detection problem in sensor networks
Author :
Fayed, Marwan ; Mouftah, Hussein T.
Author_Institution :
Sch. of Inf. Technol. & Eng. (SITE), Univ. of Ottawa, Ottawa, ON
fYear :
2009
fDate :
3-6 May 2009
Firstpage :
446
Lastpage :
449
Abstract :
Intuitively, many wireless and sensing applications benefit from knowledge of network boundaries. Many virtual coordinate constructions rely on the furthest set of nodes as beacons. Network edges may also bound routing holes in the network, regions of failure due to environmental effects, or indicate the need for additional deployment. In this paper we explore the potential to solve the edge detection problem using a geometric structure called the alpha-shape (alpha-shape). For a disc of radius 1/alpha, the alpha-shape consists of nodes (and joining edges) that sit on the boundary of the discs that contain no other nodes in the network. In addition to geometry-related fields of study such as graphics and computational geometry, alpha-shapes have been used in the disciplines of molecular biology, particle physics, and others. We explore the relationship between the alpha parameter and radio communication range and show that, by setting the alpha parameter appropriately, it is possible to compute the network alpha-shape locally.
Keywords :
computational geometry; wireless sensor networks; alpha parameter; boundary detection problem; computational geometry; edge detection problem; environmental effects; geometric structure; radio communication range; sensor networks; virtual coordinate construction; Biosensors; Computational biology; Computational geometry; Graphics; Information technology; Intelligent networks; Radio communication; Routing; Shape; Wireless sensor networks; alpha-shapes; boundary detection; sensor networks; wireless;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering, 2009. CCECE '09. Canadian Conference on
Conference_Location :
St. John´s, NL
ISSN :
0840-7789
Print_ISBN :
978-1-4244-3509-8
Electronic_ISBN :
0840-7789
Type :
conf
DOI :
10.1109/CCECE.2009.5090173
Filename :
5090173
Link To Document :
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