Award Date

1-1-2004

Degree Type

Thesis

Degree Name

Master of Science (MS)

Department

Computer Science

First Committee Member

Laxmi P. Gewali

Number of Pages

75

Abstract

Short-length paths in geometric graphs are not necessarily feasible in sensor networks and robotics. Paths with sharp-turn angles cannot be used by robotic vehicles and tend to consume more energy in sensor networks; In this thesis, we investigate the development of short-length paths without sharp-turn angles. We present a critical review of existing algorithms for generating angle constrained paths. We then consider the construction of routes having directional properties---d-monotone routes which are special cases of angle constrained paths. We develop a centralized algorithm for computing shortest d-monotone paths in triangulated networks. Since local computations are highly desired in sensor networks, we also consider localized online algorithms for computing length-reduced d-monotone paths in Delaunay Triangulation networks; The proposed algorithms are implemented in the Java programming language. Performances of the proposed algorithms are evaluated by examining the routes constructed by them on several randomly-generated Delaunay networks.

Keywords

Angle; Constrained; Networks; Paths; Sensor

Controlled Subject

Computer science

File Format

pdf

File Size

2170.88 KB

Degree Grantor

University of Nevada, Las Vegas

Language

English

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