Self-Learning Routing for ZigBee Wireless Mesh Networks
نویسندگان
چکیده
ZigBee is defined to support low-rate wireless personal area networks (WPANs). It supports tree and mesh routing. Observing that both routing mechanisms have their pros and cons, this paper proposes a Self-Learning Routing (SLR) protocol, which inherits the low overhead of tree routing and the path efficiency of mesh routing. SLR contains an overhearing and a caching mechanism. It does not rely on sending any route discovery packets. Simulation results show that SLR outperforms ZigBee tree routing in path length. Our implementation results demonstrate that SLR can also decrease the end-to-end delay.
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