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Dissertation/Thesis
Author Maroun, Raymond, author

Title New Complexity Reduction Algorithm For Leader Election In Programmable Matter / Raymond Maroun.

Publication Info. Kaslik, Lebanon : Holy Spirit University of Kaslik (USEK), 2019.
Call No. Research Topics
Description 1 PDF (xi, 36 pages) : illustrations
Content Type text
Media Type computer
Carrier Type online resource
Description text file PDF rda
Thesis Master Holy Spirit University of Kaslik (USEK) 2019.
Note Department: Department of Computer Science.
Advisor: Bachir Habib.
Bibliography Includes bibliographical references (pages 67-77).
Note Available online via USEK Digital Gate.
Summary Programmable matter, the general term usually used to define a set of computational elements, also known as particles, placed in an infinite graph. Those particles have the ability to self-organize for the purpose of resolving certain essential problems relevant for programmable matter with any outside interference. As for the model, we will use the geometric Ameobot model, which defines how the particles can move, create and release bonds between each other in the scope of a hexagonal tessellation of the plane. One of the fundamental problems of programmable matter is the leader election problem, which consists of choosing one of the particles as the leader, in order to facilitate the coordination of the movements between the particles in later phases. In this paper, we provide a new efficient algorithm that can help in reducing the complexity of this process considerably.
Subject Holy Spirit University of Kaslik (USEK) -- Dissertations, Academic
Genre/Form Dissertations, Academic -- Computer Science Holy Spirit University of Kaslik (USEK)
Indexed Term Programmable Matter
Particles
Self-Organize
Ameobot
Leader Election
Added Author Habib, Bachir, Supervisor.
Holy Spirit University of Kaslik (Lebanon). Faculty of Sciences, degree granting institution.