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Solution of travelling salesman problem applied to Wireless Sensor Networks (WSN) through the MST and B&B methods
Author(s): Jonathan E. Tito; Marco E. Yacelga; Martha C. Paredes; Andres J. Utreras; Waldemar Wójcik; Olga Ussatova
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Paper Abstract

During this investigation, Traveling Salesman Problem or TSP is applied in a Wireless Sensor Network (WSN), through a free simulator named Castalia and programming codes on JAVA and GNU/Linux Scripting in order to implement two methods for solving the TSP. First method, consist of Minimum Spanning Tree (MST) with the 2-opt algorithm and the second one is Branch and Bound (B&B) method related to the Held-Karp lower bound. Likewise, the Prim, Boruvka and Kruskal algorithms will be compared in order to determine, which of them solves the MST problem in less time, through the simulator which defines two scenarios for three models of motas: TelosB, Imote2, and Zolertia. Finally, some parameters will be also compared, such as throughput and energy consumption for each scenario, node model and solving method of the TSP, and conclude what is the best method that could be applied to a WSN.

Paper Details

Date Published: 1 October 2018
PDF: 12 pages
Proc. SPIE 10808, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018, 108082F (1 October 2018); doi: 10.1117/12.2501579
Show Author Affiliations
Jonathan E. Tito, Escuela Politécnica Nacional (Ecuador)
Marco E. Yacelga, Escuela Politécnica Nacional (Ecuador)
Martha C. Paredes, Escuela Politécnica Nacional (Ecuador)
Andres J. Utreras, Escuela Politécnica Nacional (Ecuador)
Waldemar Wójcik, Lublin Univ. of Technology (Poland)
Olga Ussatova, Al-Farabi Kazakh National Univ. (Kazakhstan)


Published in SPIE Proceedings Vol. 10808:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018
Ryszard S. Romaniuk; Maciej Linczuk, Editor(s)

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