| Summary: | 碩士 === 明新科技大學 === 資訊管理研究所 === 101 === In recent years, the progress of sensing, networking, and communication technologies has stimulated the development of a variety of applications of the Internet of Things (IoT). Smart objects in the IoT are able to form an autonomous network. This kind of network is called the low power and lossy network (LLN), because these smart objects are power-limited, and the quality of links in such networks is likely to be awful. The Routing Over Low power and Lossy networks (ROLL) working group of the Internet Engineering Task Force (IETF) has proposed a IP-based routing protocol for LLNs, called RPL. The RPL depends on the application of interest to determine routing metrics and constraints, and uses them to construct a destination oriented directed acyclic graph, called DODAG. Each node relies on the constructed DODAG to elect the next forwarding node when delivering data packets. This study proposes a novel link quality aware routing protocol, called LQA-RPL, for LLNs to provide an efficient routing. The proposed LQA-RPL, motivated by the traditional RPL, mainly considers the link quality of nodes to construct a proper DODAG to improve the routing performance. To prevent nodes with a low residual energy from becoming forwarding nodes, the proposed LQA-RPL selects the parent with the highest residual energy as a best forwarding node. Simulation results validate that the proposed LQA-RPL reduces energy consumption due to less packet transmissions, compared with the routing protocol running on the DODAG based on the hop count to the destination node. This is because the proposed node rank can reflect the network condition considering the node degree and link quality, and nodes can select the parent with a high residual energy as a forwarding node.
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