樊飞, 吴功平, 王满, 徐青山, 曹琪, 杨松. 巡线机器人延迟容忍传感器网络数据传输策略[J]. 工程科学学报, 2018, 40(11): 1412-1421. DOI: 10.13374/j.issn2095-9389.2018.11.015
引用本文: 樊飞, 吴功平, 王满, 徐青山, 曹琪, 杨松. 巡线机器人延迟容忍传感器网络数据传输策略[J]. 工程科学学报, 2018, 40(11): 1412-1421. DOI: 10.13374/j.issn2095-9389.2018.11.015
FAN Fei, WU Gong-ping, WANG Man, XU Qing-shan, CAO Qi, YANG Song. Date delivery scheme of delay-tolerant mobile sensor networks for high-voltage power transmission line inspection robot[J]. Chinese Journal of Engineering, 2018, 40(11): 1412-1421. DOI: 10.13374/j.issn2095-9389.2018.11.015
Citation: FAN Fei, WU Gong-ping, WANG Man, XU Qing-shan, CAO Qi, YANG Song. Date delivery scheme of delay-tolerant mobile sensor networks for high-voltage power transmission line inspection robot[J]. Chinese Journal of Engineering, 2018, 40(11): 1412-1421. DOI: 10.13374/j.issn2095-9389.2018.11.015

巡线机器人延迟容忍传感器网络数据传输策略

Date delivery scheme of delay-tolerant mobile sensor networks for high-voltage power transmission line inspection robot

  • 摘要: 巡线机器人延迟容忍传感器网络(delay tolerant mobile sensor networks for inspection robot,DTMSNR)用于输电线路巡线机器人远程电网数据收集,具有节点稀疏、异构、随机移动性、间歇连通性和延迟容忍性.针对传统传感器网络数据传输算法机器人数据传输成功率低与网络可靠性差等问题.提出一种基于巡线机器人位姿信息的数据传输(mobile robot position-based delivery,MPD)策略.为准确计算巡线机器人网络位姿信息,建立机器人路径约束随机运动模型.MPD采用机器人相对网络位姿信息计算传输概率,进行消息传输路径选择.对网络异构消息引入机器人消息优先传输、消息失效机制进行消息队列管理.仿真实验表明,相较现有的几种延迟容忍传感器网络(delay tolerant mobile sensor network,DTMSN)数据传输策略,针对巡线机器人网络MPD能在适当的传输能耗下达到更高的传输成功率与更低的传输延迟.

     

    Abstract: To improve the level of intelligent monitoring, maintenance, and management of transmission lines, research on inspection robots, and key technologies of overhead transmission line have attracted wide attention. With the breakthrough of the theory and technology of the internet of things, robot data transmission based on wireless sensor networks has become an active research area in the field of inspection robotics. Several researchers assume that robots are mobile nodes in wireless sensor networks, and the non-mobile communication node in the network is considered as a static node. The most crucial and difficult aspect of this research is coordinating the relationship among transmission success rate, transmission energy consumption, and delay of dynamic sensors networks. To address this difficulty, a novel method was proposed for the intelligent monitoring and communication system of power grids based on inspection robots. This method aims to realize the remote data collection of inspection robot by delay-tolerant mobile sensor networks for inspection robot (DTMSNR), which is featured by nodes heterogeneity, sparse sensor fields, random mobility, intermittent connectivity, and delay tolerance. It adopts the mobile robot position-based delivery (MPD) method to solve the inadaptability of the traditional methods of sensor networks. A path-constrained random motion model was established, in order to accurately calculate the network pose information of the inspection robot. The MPD adopts the relative position information of the robot and other nodes to compute transmission probability and selects the message transmission path. This method uses mechanisms of robot message priority transfer and failure time to manage the message queue, considering the different delay requirements for messages. Multiple simulation scenarios were performed, and the influences of different parameters with four routing algorithms were discussed. The results indicate that compared with the commonly used DTMSN data transmission methods, the proposed method can provide a higher delivery ratio and lower transport delay under appropriate transmission energy consumption.

     

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