Simulation Tool and Case Study for Planning Wireless Sensor Network

He, Danping, Mujica Rojas, Gabriel Noe ORCID: https://orcid.org/0000-0002-2964-2846, Portilla Berrueco, Jorge ORCID: https://orcid.org/0000-0003-4896-6229 and Riesgo Alcaide, Teresa ORCID: https://orcid.org/0000-0003-0532-8681 (2012). Simulation Tool and Case Study for Planning Wireless Sensor Network. En: "Proceedings of 38th Annual Conference of the IEEE Industrial Electronics Society (IECON)", 25/10/2012 - 28/10/2012, Montreal (Canada). ISBN 978-1-4673-2419-9. pp. 6028-6032. https://doi.org/10.1109/IECON.2013.6700024.

Descripción

Título: Simulation Tool and Case Study for Planning Wireless Sensor Network
Autor/es:
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: Proceedings of 38th Annual Conference of the IEEE Industrial Electronics Society (IECON)
Fechas del Evento: 25/10/2012 - 28/10/2012
Lugar del Evento: Montreal (Canada)
Título del Libro: IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
Fecha: 2012
ISBN: 978-1-4673-2419-9
Materias:
ODS:
Escuela: Centro de Electrónica Industrial (CEI) (UPM)
Departamento: Otro
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

In this paper, a simulation tool for assisting the deployment of wireless sensor network is introduced and simulation results are verified under a specific indoor environment. The simulation tool supports two modes: deterministic mode and stochastic mode. The deterministic mode is environment dependent in which the information of environment should be provided beforehand. Ray tracing method and deterministic propagation model are employed in order to increase the accuracy of the estimated coverage, connectivity and routing; the stochastic mode is useful for large scale random deployment without previous knowledge on geographic information. Dynamic Source Routing protocol (DSR) and Ad hoc On-Demand Distance Vector Routing protocol (AODV) are implemented in order to calculate the topology of WSN. Hence this tool gives direct view on the performance of WSN and assists users in finding the potential problems of wireless sensor network before real deployment. At the end, a case study is realized in Centro de Electronica Industrial (CEI), the simulation results on coverage, connectivity and routing are verified by the measurement.

Más información

ID de Registro: 20869
Identificador DC: https://oa.upm.es/20869/
Identificador OAI: oai:oa.upm.es:20869
URL Portal Científico: https://portalcientifico.upm.es/es/ipublic/item/5621367
Identificador DOI: 10.1109/IECON.2013.6700024
URL Oficial: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?...
Depositado por: Memoria Investigacion
Depositado el: 18 Nov 2013 19:03
Ultima Modificación: 19 Dic 2024 07:25