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Information 2017, 8(4), 124;

Multi-Path Data Distribution Mechanism Based on RPL for Energy Consumption and Time Delay

School of Information Engineering, Yancheng Teachers University, Yancheng 224002, China
School of Computer Science & Technology, Nanjing University of Posts and Telecommunications, Nanjing 210042, China
Author to whom correspondence should be addressed.
Received: 4 September 2017 / Revised: 16 September 2017 / Accepted: 2 October 2017 / Published: 9 October 2017
(This article belongs to the Section Information and Communications Technology)
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The RPL (Routing Protocol for LLN) protocol is a routing protocol for low power and lossy networks. In such a network, energy is a very scarce resource, so many studies are focused on minimizing global energy consumption. End-to-end latency is another important performance indicator of the network, but existing research tends to focus more on energy consumption and ignore the end-to-end delay of data transmission. In this paper, we propose a kind of energy equalization routing protocol to maximize the surviving time of the restricted nodes so that the energy consumed by each node is close to each other. At the same time, a multi-path forwarding route is proposed based on the cache utilization. The data is sent to the sink node through different parent nodes at a certain probability, not only by selecting the preferred parent node, thus avoiding buffer overflow and reducing end-to-end delay. Finally, the two algorithms are combined to accommodate different application scenarios. The experimental results show that the proposed three improved schemes improve the reliability of the routing, extend the lifetime of the network, reduce the end-to-end delay, and reduce the number of DAG reconfigurations. View Full-Text
Keywords: data distribution; multi-path; RPL; wireless sensor network data distribution; multi-path; RPL; wireless sensor network

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Zhu, L.; Wang, R.; Yang, H. Multi-Path Data Distribution Mechanism Based on RPL for Energy Consumption and Time Delay. Information 2017, 8, 124.

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