|Table of Contents|

[1] Zhao Junhui, Jiang Tingting, Wang Haiming,. Optimal gateway deploymentunder different queuing mechanisms in smart grid [J]. Journal of Southeast University (English Edition), 2016, 32 (1): 16-20. [doi:10.3969/j.issn.1003-7985.2016.01.004]
Copy

Optimal gateway deploymentunder different queuing mechanisms in smart grid()
智能电网中不同排队机制下的最优网关配置
Share:

Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
32
Issue:
2016 1
Page:
16-20
Research Field:
Information and Communication Engineering
Publishing date:
2016-03-20

Info

Title:
Optimal gateway deploymentunder different queuing mechanisms in smart grid
智能电网中不同排队机制下的最优网关配置
Author(s):
Zhao Junhui1 Jiang Tingting1 Wang Haiming2
1 School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China
2 State Key Laboratory of Millimeter Waves, Southeast University, Nanjing 210096, China
赵军辉1 姜婷婷1 王海明2
1北京交通大学电子信息工程学院, 北京100044; 2东南大学毫米波国家重点实验室, 南京210096
Keywords:
smart grid home energy management system(HEMS) queuing theory gateway deployment
智能电网 家庭能源管理系统 排队论 网关分配
PACS:
TN91
DOI:
10.3969/j.issn.1003-7985.2016.01.004
Abstract:
By optimizing the network topology, this paper proposes a new method of queuing theory clustering algorithm based on dynamic programming in a home energy management system(HEMS). First, the total cost of the HEMS system is divided into two parts, the gateway installation cost and the data transmission cost. Secondly, through comparing two kinds of different queuing theories, the cost problem of the HEMS is converted into the problem of gateway deployment. Finally, a machine-to-machine(M2M)gateway configuration scheme is designed to minimize the cost of the system. Simulation results show that the cost of the HEMS system mainly comes from the installation cost of the gateways when the gateway buffer space is large enough. If the gateway buffer space is limited, the proposed queue algorithm can effectively achieve optimal gateway setting while maintaining the minimal cost of the HEMS at desired levels through marginal analyses and the properties of cost minimization.
通过优化网络拓扑结构, 提出了一种在家庭能源管理系统(HEMS)中基于动态规划的排队论聚类算法.首先将HEMS的总花费划分成网关的安装成本及数据传输成本2个部分, 然后通过对比2种不同的排队论聚类算法, 将家庭能源管理系统中的成本问题转化为系统网关部署问题, 最后, 设计了一种使系统花费最小的M2M网关配置方案.仿真结果表明, 当网关缓冲区间足够大时, HEMS系统的花费主要来自网关的安装成本.当网关缓冲区间有限时, 通过边际分析方法及成本最小化特性, 所提出的排队算法能够保证在最小化花费的基础上实现网关的最优分配.

References:

[1] Rosselló-Busquet A, Soler J, Dittmann L. A novel home energy management system architecture[C]//2011 UKSim 13th International Conference on Modelling and Simulation. Cambridge, Britain, 2011: 387-392.
[2] Verschueren T, Haerick W, Mets K, et al. Architectures for smart end-user services in the power grid [C]//Network Operations and Management Symposium Workshops(NOMS Wksps). Osaka, Japan, 2010: 316-322.
[3] Dai Shucheng, Tang Changjie, Qiao Shaojie, et al. Optimal multiple sink nodes deployment in wireless networks based on gene expression programming[C]//Second International Conference on Communication Software and Networks. Singapore, 2010: 355-359.
[4] Vincze Z, Vida R, Vidacs A. Deploying multiple sinks in multihop wireless sensor networks [C]//IEEE International Conference on Pervasive Services. Istanbul, Turkey, 2007: 55-63.
[5] Zaker N, Kantarci B, Erol-Kantarci M, et al. Quality-of-service-aware fiber wireless sensor network gateway design for the smart grid [C]//2013 IEEE International Conference on Communications Workshops(ICC). Budapest, Hungary, 2013: 863-867.
[6] Yarvis M, Kushalnagar N, Singh H, et al. Exploiting heterogeneity in sensor networks [C]//24th Annual Joint Conference of the IEEE Computer and Communications Societies. Miami, USA, 2005: 878-890.
[7] Liu Qiang, Leng Supeng, Mao Yuming, et al. Optimal gateway placement in the smart grid machine-to-machine networks[C]//IEEE GLOBECOM Workshops. Houston, TX, USA, 2011:1173-1177.
[8] Meiling S, Steinbach T, Duge M, et al. Consumer-oriented integration of smart homes and smart grids: a case for multicast-enabled home gateways?[C]//IEEE Third International Conference on Consumer Electronics. Berlin, Germany, 2013: 279-283.
[9] Niyato D, Xiao L, Wang P. Machine-to-machine communications for home energy management system in smart grid [J]. IEEE Communications Magazine, 2011, 49(4): 53-59.
[10] Chen Peishu, Zhu Yijun, Geng Xiang. M/M/m/k queue with preemptive resume and impatience of the prioritized customers [J]. Systems Engineering and Electronics, 2008, 30(6): 1072-1073.

Memo

Memo:
Biography: Zhao Junhui(1973—), male, doctor, professor, junhuizhao@bjtu.edu.cn.
Foundation items: The National Natural Science Foundation of China(No.61471031), the Fundamental Research Funds for the Central Universities(No.2013JBZ01), the Program for New Century Excellent Talents in University of Ministry of Education of China(No.NCET-12-0766).
Citation: Zhao Junhui, Jiang Tingting, Wang Haiming. Optimal gateway deployment under different queuing mechanisms in smart grid[J].Journal of Southeast University(English Edition), 2016, 32(1):16-20.DOI:10.3969/j.issn.1003-7985.2016.01.004.
Last Update: 2016-03-20