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计算机工程

所属专题: 车联网专题

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面向车载CAN网络的多维非功能属性集成优化算法

谢勇 1,陈旭辉 1,吴武飞 2,张佳 3   

  1. (1.厦门理工学院计算机与信息工程学院,福建 厦门 361024; 2.湖南大学信息科学与工程学院,长沙 410082; 3.集美大学计算机工程学院,福建 厦门 361021)
  • 收稿日期:2015-09-07 出版日期:2016-03-15 发布日期:2016-03-15
  • 作者简介:谢勇(1985-),男,讲师、博士,主研方向为汽车电子系统;陈旭辉,教授、博士;吴武飞,博士研究生;张佳,讲师、博士研究生。
  • 基金资助:

    国家自然科学基金资助项目(61502405,61300039,61173076);福建省教育厅中青年教师教育科研基金资助项目(JA15368);厦门市科技计划基金资助项目(3502Z20131158,3502Z20133033);厦门理工学院科技基金资助项目(YKJ13024R,XYK201437,YKJ15019R)。

Multi-dimensional Non-functional Properties Integration Optimization Algorithm for Vehicle Controller Area Network

XIE Yong  1,CHEN Xuhui 1,WU Wufei 2,ZHANG Jia 3   

  1. (1.College of Computer and Information Engineering,Xiamen University of Technology,Xiamen,Fujian 361024,China; 2.College of Computer Science and Electronic Engineering,Hunan University,Changsha 410082,China; 3.College of Computer Engineering,Jimei University,Xiamen,Fujian 361021,China)
  • Received:2015-09-07 Online:2016-03-15 Published:2016-03-15

摘要:

为解决车载控制器区域网络(CAN)设计时没有同时考虑实时性、安全性和可靠性等多维非功能属性的问题,提出一种集成优化模型,将可扩展性和带宽利用率作为模型的优化目标。在满足实时性、可靠性和安全性定量要求的前提下,通过为可扩展性和带宽利用率增加权重的方式实现两者的统一优化,进而对不同目标进行归一化,使得在同一个值域内实现权衡优化。在此基础上,融入信号打包思想,给出基于模拟退火的CAN系统多维非功能属性集成优化算法。在真实信号集和仿真信号集上的实验结果表明,与不考虑多维非功能属性的集成优化情况相比,该算法可获得较高的目标优化率。

关键词: 汽车电子系统, 车载网络, 多维非功能属性, 信号打包问题, 模拟退火

Abstract:

In order to solve the problem that multi-dimensional non-functional properties are not taken into consideration during the design of Controller Area Network(CAN),such as real-time,security and reliability,this paper proposes an integration optimization model.The scalability and bandwidth utilization ratio are used as the optimization objectives of the model.Under the premise of meeting the requirement of real-time,reliability and safety,by means of increasing the weight of scalability and bandwidth utilization,the unified optimization of both is realized.Then different objectives are normalized to get the balance optimization within the range.On this basis,integrating signal packaging ideas,it presents the multi-dimensional non-functional properties integration optimization algorithm in CAN system based on Simulated Annealing(SA).Experimental results on real signal set and simulated signal set show that compared with the situation of integration optimization without considering multi-dimensional non-functional attributes,this algorithm can obtain higher objective optimization rate.

Key words: automotive electronic system, vehicle network, multi-dimensional non-functional properties, signal packing problem, Simulated Annealing(SA)

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