Performance Optimization for ZigBee Cluster-tree Networks
Date Issued
2010
Date
2010
Author(s)
Huang, Yu-Kai
Abstract
ZigBee, a unique communication standard designed for low-rate wireless personal area networks, has extremely low complexity, cost, and power consumption for wireless connectivity of inexpensive, portable, and moving devices. Among the well-known ZigBee topologies, the cluster-tree is especially suitable for low-power and low-cost wireless sensor networks due to its support of power saving operation and light-weight routing. The objective of this dissertation is to optimize the performance for ZigBee cluster-tree networks. This dissertation starts with the consideration of star networks, i.e., small-scale cluster-tree networks, for ZigBee. The low-power operation of a star-based ZigBee network follows the IEEE 802.15.4 specification. A comprehensive analysis for low-power operation for IEEE 802.15.4 is conducted. Specifically, an analytical model which can accommodate a general traffic distribution is developed. This dissertation then extends the performance study for ZigBee to accommodate large-scale cluster-tree networks. For throughput optimization, an adoptive-parent-based framework is presented for a ZigBee cluster-tree network to increase the bandwidth utilization without any extra message exchange. To optimize the throughput in the framework, a vertex-constraint maximum flow problem is formulated, and a distributed algorithm with full compatibility of the ZigBee standard is developed. This dissertation is concluded by developing a QoS-oriented framework to provide stochastic QoS guarantee for urgent information delivery in ZigBee cluster-tree networks. This framework can accommodate a general traffic model extended by our first work for IEEE 802.15.4 to adapt diverse traffic characteristics in various applications. The capabilities of the proposed approaches are demonstrated by a series of experiments.
Subjects
ZigBee
Wireless Personal Area Networks
Wireless Sensor Networks
Type
thesis
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