Modelling QoS for wireless sensor networks

Martínez Ortega, José Fernán and García, Ana B. and Corredor Pérez, Iván and López Santidrián, Lourdes and Dasilva, Antonio (2007). Modelling QoS for wireless sensor networks. In: "Wireless Sensor and Actor Networks. IFIP International Federation for Information Processing, Boston, MA. pp. 143-154. https://doi.org/10.1007/978-0-387-74899-3_13.

Description

Title: Modelling QoS for wireless sensor networks
Author/s:
  • Martínez Ortega, José Fernán
  • García, Ana B.
  • Corredor Pérez, Iván
  • López Santidrián, Lourdes
  • Dasilva, Antonio
Item Type: Presentation at Congress or Conference (Article)
Event Title: Wireless Sensor and Actor Networks. IFIP International Federation for Information Processing
Event Location: Boston, MA
Title of Book: Wireless Sensor and Actor Networks. IFIP International Federation for Information Processing
Date: 2007
Subjects:
Freetext Keywords: Wireless Sensor Networks (WSN,) QoS protocols performance ,target tracking natural, environments surveillance
Faculty: E.T.S.I. y Sistemas de Telecomunicación (UPM)
Department: Aeronaves y Vehículos Espaciales
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

A wireless sensor network (WSN) is a wireless network composed of spatially distributed and tiny autonomous nodes — smart dust sensors, motes —, which cooperatively monitor physical or environmental conditions. Nowadays these kinds of networks support a wide range of applications, such as target tracking, security, environmental control, habitat monitoring, source detection, source localization, vehicular and traffic monitoring, health monitoring, building and industrial monitoring, etc. Generally, these applications have strong and strict requirements for end-to-end delaying and loosing during data transmissions. In this paper, we propose a realistic scenario for application of the WSN field in order to illustrate selection of an appropriate approach for guaranteeing performance in a WSN-deployed application. The methodology we have used includes four major phases: 1) Requirements analysis of the application scenario; 2) QoS modeling in different layers of the communications protocol stack and selection of more suitable QoS protocols and mechanisms; 3) Definition of a simulation model based on an application scenario, to which we applied the protocols and mechanisms selected in the phase 2; and 4) Validation of decisions by means of simulation and analysis of results. This work has been partially financed by the “Universidad Politécnica de Madrid” and the “ Comunidad de Madrid” in the framework of the project CRISAL - M0700204174.

More information

Item ID: 46486
DC Identifier: http://oa.upm.es/46486/
OAI Identifier: oai:oa.upm.es:46486
DOI: 10.1007/978-0-387-74899-3_13
Deposited by: Memoria Investigacion
Deposited on: 10 Jul 2017 17:28
Last Modified: 07 Apr 2019 11:56
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