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- XIE Yong
XIE Yong
College of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, China;Key Laboratory in Universities for Applied Technologies of Intenet-of-Things of Fujian Province (Xiamen University of Technology), Xiamen 361024, China
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Search for this author on this site - LIANG Wei
LIANG Wei
College of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan 411201, China
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Search for this author on this site - LI Ren-Fa
LI Ren-Fa
College of Information Science and Engineering, Hunan University, Changsha 410082, China;Key Laboratory for Embedded Systems and Networked Computing of Hunan Province (Hunan University), Changsha 410082, China
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Search for this author on this site - WU Ke-Shou
WU Ke-Shou
College of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, China;Key Laboratory in Universities for Applied Technologies of Intenet-of-Things of Fujian Province (Xiamen University of Technology), Xiamen 361024, China
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Search for this author on this site - HONG Chao-Qun
HONG Chao-Qun
College of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, China;Key Laboratory in Universities for Applied Technologies of Intenet-of-Things of Fujian Province (Xiamen University of Technology), Xiamen 361024, China
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National Natural Science Foundation of China (61502405, 61300039, 61572188); Research Project Supported by Fujian Educational Bureau (JA15368); Open Research Fund of Hu’nan Provincial Key Laboratory of Network Investigational Technology (2016WLZC020); Research Projects Supported by Xiamen University of Technology (YKJ13024R, XYK201437, YKJ15019R)
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The application of Internet-of-vehicles technologies in automobiles drives the modern automobiles developing towards electronization, networking and integration. The rapid development of Internet-of-vehicle technologies causes the problem of rapidly increasing data volume and constrained bandwidth for in-vehicle CAN (controller area network) networks. To solve these problems, this research addresses the signal packing problem in the design of CAN network. First, the signal set is divided into signal clusters according to signals' period. Next, the clusters are sorted in order of increasing period. Then, combined with two presented bandwidth slack evaluation metrics, a signal clustering-based signal packing (CSP) algorithm is proposed to realize the optimization of bandwidth utilization. Finally, by comparing with the state-of-art algorithms, the optimism of CSP in improving the bandwidth utilization is verified. Comparing with the algorithms proposed in reference 7, 8 and 11, the obtained average and maximal optimization ratio in bandwidth utilization for CSP is between[0.5%, 6.4%] and[2.4%, 22.65%], respectively.
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谢勇,梁伟,李仁发,吴克寿,洪朝群.一种适用于车联网环境的车载CAN信号打包算法.软件学报,2016,27(9):2365-2376
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History
- Received:November 14,2015
- Revised:March 30,2016
- Online: September 02,2016
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-4
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