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Modeling and worst-case dimensioning of cluster-tree wireless sensor networks
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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.
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IEEE