Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/4036
Título: Modeling and worst-case dimensioning of cluster-tree wireless sensor networks
Autor: Koubâa, Anis
Alves, Mário
Tovar, Eduardo
Data: 2006
Editora: IEEE
Relatório da Série N.º: Real-Time Systems Symposium;
Resumo: Time-sensitive Wireless Sensor Network (WSN) applications require finite delay bounds in critical situations. This paper provides a methodology for the modeling and the worst-case dimensioning of cluster-tree WSNs. We provide a fine model of the worst-case cluster-tree topology characterized by its depth, the maximum number of child routers and the maximum number of child nodes for each parent router. Using Network Calculus, we derive “plug-and-play” expressions for the endto- end delay bounds, buffering and bandwidth requirements as a function of the WSN cluster-tree characteristics and traffic specifications. The cluster-tree topology has been adopted by many cluster-based solutions for WSNs. We demonstrate how to apply our general results for dimensioning IEEE 802.15.4/Zigbee cluster-tree WSNs. We believe that this paper shows the fundamental performance limits of cluster-tree wireless sensor networks by the provision of a simple and effective methodology for the design of such WSNs.
Peer review: yes
URI: http://hdl.handle.net/10400.22/4036
ISBN: 0-7695-2761-2
ISSN: 1052-8725
Versão do Editor: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4032368
Aparece nas colecções:ISEP – CISTER – Comunicações em eventos científicos

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