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首页 > 过刊浏览>2022年第33卷第2期 >641-663. DOI:10.13328/j.cnki.jos.006154
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SG-Edge: 电力物联网可信边缘计算框架关键技术
作者:
作者简介:

杨维永(1978-), 男, 研究员级高工, CCF专业会员, 主要研究领域为网络安全, 物联网;
刘苇(1986-), 男, 工程师, 主要研究领域为操作系统安全, 云计算安全, 移动安全, 工业信息安全;
崔恒志(1971-), 男, 研究员级高工, 主要研究领域为信息化, 电力物联网, 网络安全;
魏兴慎(1986-), 男, 工程师, 主要研究领域为边缘计算, 物联网, 工业信息安全, 云计算安全;
黄皓(1957-), 男, 博士, 教授, 博士生导师, 主要研究领域为计算机安全;
廖鹏(1985-), 男, 工程师, 主要研究领域为人工智能, 网络安全;
钱柱中(1980-), 男, 博士, 副教授, 博士生导师, CCF专业会员, 主要研究领域为分布式系统, 数据中心网络;
王元强(1980-), 男, 高级工程师, 主要研究领域为网络安全, 嵌入式系统

通讯作者:

刘苇，liuwei5@sgepri.sgcc.com.cn

中图分类号:

TP393

基金项目:

国家电网总部科技项目(5210ED209Q3U); 智慧物联体系边缘智能计算框架与关键技术


SG-Edge: Key Technology of Power Internet of Things Trusted Edge Computing Framework
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    摘要:

    随着国家电网电力物联网的逐步推进, 作为其核心支撑技术的边缘计算框架逐渐成为研究热点. 首先, 总结了物联网和边缘计算框架方面的已有研究工作; 其次, 通过分析电力物联网在业务场景、边缘计算、信息安全等方面的关键技术难题, 提出了一种适应于电力物联网的可信边缘计算框架SG-Edge; 随后, 结合边缘框架的可信防护关键难题, 给出了硬件可信引导、软件行为动态度量等关键技术方法; 最后, 从业务适应性、安全性以及性能等方面对SG-Edge进行了全面评估, 并对未来研究可能面临的挑战进行了展望.

    Abstract:

    With the gradual advancement of the State Grid power Internet of Things (IoT), the edge-computing framework as its core support has gradually become a research hot topic. This article firstly summarizes the existing research work on the IoT and edge-computing framework. Secondly, by analyzing the key requirements of the power IoT in business scenarios, edge computing and information security; a way to adapt to the power SG-Edge is proposed, which is a trusted edge-computing framework for the IoT. Then, key technical methods such as hardware trusted boot and dynamic measurement of software behavior are proposed to meet the key challenges of the trusted protection of the edge framework. Finally, the SG-Edge is fully evaluated from the aspects of business adaptability and security, and the possible future research challenges are prospected.

    参考文献
    [1] Tomić I, McCann JA. A survey of potential security issues in existing wireless sensor network protocols. IEEE Internet of Things Journal, 2017, 4(6): 1910-1923.
    [2] Zhao XQ, Cui YP, Gao CY, et al. Energy-efficient coverage enhancement strategy for 3-D wireless sensor networks based on a vampire bat optimizer. IEEE Internet of Things Journal, 2020, 7(1): 325-338.
    [3] Hasan MZ, Al-Rizzo H, Al-Turjman F. A survey on multipath routing protocols for QoS assurances in real-time wireless multimedia sensor networks. IEEE Communications Surveys & Tutorials, 2017, 19(3): 1424-1456.
    [4] Yang L. Study on cluster-based energy saving routing protocols for wireless sensor networks [Ph. D. Thesis]. Chongqing: Chongqing University, 2016 (in Chinese with English abstract). 杨柳. 基于分簇结构的无线传感器网络节能路由协议研究[博士学位论文]. 重庆: 重庆大学, 2016.
    [5] Zhao X, Cui Y, Guo Z, et al. An energy-efficient coverage enhancement strategy for wireless sensor networks based on a dynamic partition algorithm for cellular grids and an improved vampire bat optimizer. Sensors, 2020(20): 619.
    [6] Heinzelman WB, Chandrakasan AP, Balakrishnan H. An application-specific protocol architecture for wireless microsensor networks. IEEE Trans. on Wireless Communications, 2002, 1(4): 660-670.
    [7] Zhang RR. Research on optimization technology of WSN based on UAV [MS. Thesis]. Beijing: Beijing University of Posts and Telecommunications, 2019 (in Chinese with English abstract). 张瑞瑞. 基于无人机的无线传感器网络优化技术研究[硕士学位论文]. 北京: 北京邮电大学, 2019.
    [8] Yang Y. Research on clustering algorithm based on LEACH protocol in free space optical sensor network [MS. Thesis]. Xi'an: Xi'an Electrical Sciences & Technology University, 2018 (in Chinese with English abstract). 杨宇. 基于LEACH协议的无线光传感器网络分簇算法研究[硕士学位论文]. 西安: 西安电子科技大学, 2018.
    [9] Lee JS, Kao TY. An improved three-layer low-energy adaptive clustering hierarchy for wireless sensor networks. IEEE Internet of Things Journal, 2016, 3(6): 951-958.
    [10] Chen H, Zhang C, Zong X, et al. LEACH-G: An optimal cluster-heads selection algorithm based on LEACH. Journal of Software, 2013, 8(10): 2660-2667.
    [11] Behera TM, Mohapatra SK, Samal UC, et al. Residual energy-based cluster-head selection in WSNs for IoT application. IEEE Internet of Things Journal, 2019, 6(3): 5132-5139.
    [12] Amgoth T, Jana PK. Energy-aware routing algorithm for wireless sensor networks. Computers & Electrical Engineering, 2015, 41: 357-367.
    [13] Sabet M, Naji HR. A decentralized energy efficient hierarchical cluster-based routing algorithm for wireless sensor networks. AEU—Int'l Journal of Electronics and Communications, 2015, 69(5): 790-799.
    [14] Cengiz K, Dag T. Improving energy-efficiency of WSNs through LEFCA. Int'l Journal of Distributed Sensor Networks, 2016, 12(8): 8139401.
    [15] Tiwari T, Roy NR. Modified DEEC: A varying power level based clustering technique for WSNs. In: Proc. of the 2015 Int'l Conf. on Computer and Computational Sciences (ICCCS). IEEE, 2015. 170-176.
    [16] Liu C, Chen GF, Ma WF. Research and improvement on the LEACH protocol of wireless sensor network. Journal of Changchun University of Science and Technology (Natural Science Edition), 2018, 41(2): 129-133 (in Chinese with English abstract). 刘闯, 陈桂芬, 马威风. 无线传感器网络LEACH协议的研究改进. 长春理工大学学报(自然科学版), 2018, 41(2): 129-133.
    [17] Sun YQ, Peng J, Liu T, Chen XH. Uneven clustering routing protocol based on dynamic partition for wireless sensor network. Journal on Communications, 2014, 35(1): 198-206 (in Chinese with English abstract). 孙彦清, 彭舰, 刘唐, 陈晓海. 基于动态分区的无线传感器网络非均匀成簇路由协议. 通信学报, 2014, 35(1): 198-206.
    [18] Wu H, Zhu H, Miao Y. An energy efficient cluster-head rotation and relay node selection scheme for farmland heterogeneous wireless sensor networks. Wireless Personal Communications, 2018, 101(3): 1639-1655.
    [19] Mann PS, Singh S. Energy-efficient hierarchical routing for wireless sensor networks: A swarm intelligence approach. Wireless Personal Communications, 2017, 92(2): 785-805.
    [20] Qi P, Bao KY, Ma XY. WSN hierarchical routing algorithm based on fuzzy C-means clustering and swarm intelligence. Journal of Computer Applications, 2018, 38(7): 1974-1980+1988 (in Chinese with English abstract). 戚攀, 包开阳, 马皛源. 基于模糊C均值聚类及群体智能的WSN分层路由算法. 计算机应用, 2018, 38(7): 1974-1980+1988.
    [21] Zhang YY. A clustering routing algorithm for WSN based on swarm intelligence optimization technique [MS. Thesis]. Nanjing: Nanjing University of Posts and Telecommunications, 2015 (in Chinese with English abstract). 张影影. 基于群智能优化技术的无线传感网分簇路由算法研究[硕士学位论文]. 南京: 南京邮电大学, 2015.
    [22] Zhao X, Zhu H, Aleksic S, et al. Energy-efficient routing protocol for wireless sensor networks based on improved grey wolf optimizer. KSII Trans. on Internet and Information Systems, 2018, 12(6): 2644-2657.
    [23] Zhao X, Ren S, Quan H, et al. Routing protocol for heterogeneous wireless sensor networks based on a modified grey wolf optimizer. Sensors, 2020, 20(3): 820.
    [24] Wu XN, Zhang CY, Zhang RL, Sun YP. Clustering routing protocol based on improved PSO algorithm in WSN. Journal on Communications, 2019, 40(12): 114-123 (in Chinese with English abstract). 武小年, 张楚芸, 张润莲, 孙亚平. WSN中基于改进粒子群优化算法的分簇路由协议. 通信学报, 2019, 40(12): 114-123.
    [25] Liu H, Li HW. Uneven clustering routing algorithm based on ant colony optimization. Journal of Huazhong University of Science and Technology (Nature Science Edition), 2018, 46(8): 50-54 (in Chinese with English abstract). 刘宏, 李好威. 基于蚁群优化的非均匀分簇路由算法. 华中科技大学学报(自然科学版), 2018, 46(8): 50-54.
    [26] Shokouhifar M, Jalali A. A new evolutionary based application specific routing protocol for clustered wireless sensor networks. AEU—Int'l Journal of Electronics and Communications, 2015, 69(1): 432-441.
    [27] Arjunan S, Sujatha P. Lifetime maximization of wireless sensor network using fuzzy based unequal clustering and ACO based routing hybrid protocol. Applied Intelligence, 2018, 48(8): 2229-2246.
    [28] Cui YN, Wei W, Hu YH. Particle swarm optimal-based improved LEACH protocol for WSN. Journal of China Academy of Electronics and Information Technology, 2019, 14(11): 1169-1173, 1193 (in Chinese with English abstract). 崔亚楠, 韦炜, 胡艳华. WSN中基于粒子群最优算法的LEACH的改进路由. 中国电子科学研究院学报, 2019, 14(11): 1169-1173, 1193.
    [29] Daneshvar SMMH, Mohajer PAA, Mazinani SM. Energy-efficient routing in WSN: A centralized cluster-based approach via grey wolf optimizer. IEEE Access, 2019, 7: 170019-170031.
    [30] Zhao XQ, Zhang L. Clustering routing algorithm for wireless sensor networks based on angle clustering. Journal of Xi'an University of Posts and Telecommunications, 2019, 24(2): 16-20 (in Chinese with English abstract). 赵小强, 张琳. 基于角度聚类的无线传感器网络分簇路由算法. 西安邮电大学学报, 2019, 24(2): 16-20.
    [31] Dong FZ, Ding HW, Yang ZJ, Xiong CB, Zhang YJ. WSN clustering routing algorithm based on genetic algorithm and fuzzy C-means clustering. Journal of Computer Applications, 2019, 39(8): 2359-2365 (in Chinese with English abstract). 董发志, 丁洪伟, 杨志军, 熊成彪, 张颖婕. 基于遗传算法和模糊C均值聚类的WSN分簇路由算法. 计算机应用, 2019, 39(8): 2359-2365.
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杨维永,刘苇,崔恒志,魏兴慎,黄皓,廖鹏,钱柱中,王元强. SG-Edge: 电力物联网可信边缘计算框架关键技术.软件学报,2022,33(2):641-663

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  • 收稿日期:2019-06-30
  • 最后修改日期:2020-04-02
  • 在线发布日期: 2022-01-25
  • 出版日期: 2022-02-06
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