|本期目录/Table of Contents|

[1]赵 腾,王海晖*,彭 云,等.软件定义无线传感器网络中低控制负载的睡眠调度[J].武汉工程大学学报,2017,39(05):488-495.[doi:10. 3969/j. issn. 1674?2869. 2017. 05. 015]
 ZHAO Teng,WANG Haihui*,PENG Yun,et al.Low Control Overhead-Based Sleep Scheduling for Software-Befined Wireless Sensor Networks[J].Journal of Wuhan Institute of Technology,2017,39(05):488-495.[doi:10. 3969/j. issn. 1674?2869. 2017. 05. 015]
点击复制

软件定义无线传感器网络中低控制负载的睡眠调度(/HTML)
分享到:

《武汉工程大学学报》[ISSN:1674-2869/CN:42-1779/TQ]

卷:
39
期数:
2017年05期
页码:
488-495
栏目:
机电与信息工程
出版日期:
2017-12-19

文章信息/Info

Title:
Low Control Overhead-Based Sleep Scheduling for Software-Befined Wireless Sensor Networks
文章编号:
20170515
作者:
赵 腾1王海晖12* 彭 云1赵茂阳1张水平12
1. 武汉工程大学计算机科学与工程学院,湖北 武汉 430205; 2. 智能机器人湖北省重点实验室(武汉工程大学),湖北 武汉 430205
Author(s):
ZHAO Teng1WANG Haihui*12PENG Yun1ZHAO Maoyang1ZHANG Shuiping12
1. School of Computer Science and Technology, Wuhan Institute of Technology, Wuhan 430205, China 2. Hubei Key Laboratory of Intelligent Robot(Wuhan Institute of Technology), Wuhan 430205, China
关键词:
无线传感器网络软件定义网络睡眠调度
Keywords:
wireless sensor network software-defined networking sleep scheduling
分类号:
TP391
DOI:
10. 3969/j. issn. 1674?2869. 2017. 05. 015
文献标志码:
A
摘要:
为了克服软件定义无线传感器网络(SDWSN)中控制流量的限制,依据基于能量消耗的连通k邻域睡眠调度算法和软件定义网络(SDN)的特性,提出了一种低控制负载的睡眠调度方案. 首先,利用SDN的网络模型重新设计无线传感器网络的模型;然后,依据新的网络模型,对传统的睡眠调度方案进行改进. 在此基础上,设计出能够降低网络中控制流量的流表,从而降低SDWSN中的控制负载. 仿真结果表明,本文所提出的控制流设计方案在控制流量和数据平面中更新节点状态的平均响应时间要优于SDWSN中的睡眠调度,该方案能够最小化整个网络中的控制流量,在延长网络生命周期的同时降低控制负载.
Abstract:
To overcome the limitation of the control flow in the software-defined wireless sensor network (SDWSN), a low control overhead sleep scheduling program was proposed based on the energy consumption of the connected k neighborhood sleep scheduling algorithm and the characteristics of software-defined network (SDN). Firstly, the model of the wireless sensor network was redesigned by using the SDN network model. Then, the traditional sleep scheduling scheme was improved according to the new network model. On the basis, the flow table can be designed to reduce the size of the control flow in the network and the control flow overhead can be reduced in the SDWSN. The simulation results show that the control flow size and the average response time of updating the node status in the data plane are better than those in the SDWSN. The proposed scheme can minimize the total control flow size in the whole network and reduce the control overhead while extending the network life cycle.

参考文献/References:

[1] HAQUE I T, ABU-GHAZALEH N. Wireless software defined networking: a survey and taxonomy[J]. IEEE Communications Surveys & Tutorials, 2016, 18(4): 2713-2737. [2] LUO T, TAN H P, QUEK T Q S. Sensor openflow: enabling software-defined wireless sensor networks[J]. IEEE Communications Letters, 2012, 16(11): 1896- 1899. [3] MCKEOWN N, ANDERSON T, BALAKRISHNAN H, et al. Openflow: enabling innovation in campus networks[J]. ACM SIGCOMM Computer Communication Review, 2008, 38(2): 69-74. [4] GALLUCCIO L, MILARDO S, MORABITO G, et al. SDN-WISE: Design, prototyping and experimentation of a stateful SDN solution for wireless sensor networks[C]//Computer communications, 2015. Hong Kong: IEEE, 2015: 513-521. [5] DEGANTE A, ASLAN M, MATRAWY A. Smart wireless sensor network management based on software-defined networking[C]// Communications, 2014. Kingston: IEEE, 2014: 71-75. [6] VISSICCHIO S, CITTADINI L. Flip the (flow) table: Fast lightweight policy-preserving sdn updates[C]//Computer communications, 2016. San Francisco: IEEE, 2016: 1-9. [7] ZENG D, LI P, GUO S, et al. Minimum-energy reprogramming with guaranteed quality-of-sensing in software-defined sensor networks[C]//Communications,2014. Sydney:IEEE,2014: 288-293. [8] MIYAZAKI T. Dynamic function alternation to realize robust wireless sensor network[J]. International Journal of Handheld Computing Research, 2012, 3(3): 17-34. [9] DEOLIVEIRA B T, GABRIEL L B, MARGI C B. TinySDN: Enabling multiple controllers for software-defined wireless sensor networks[J]. IEEE Latin America Transactions, 2015, 13(11): 3690-3696. [10] NATH S, GIBBONS P B. Communicating via fireflies: geographic routing on duty-cycled sensors[C]//Information processing in sensor networks, 2007. Cambridge: IEEE, 2007: 440-449. [11] WANG Y, CHEN H, WU X, et al. An energy-efficient SDN based sleep scheduling algorithm for WSNs[J]. Journal of Network and Computer Applications, 2016, 59: 39-45. [12] WANG L, YUAN Z, SHU L, et al. An energy-efficient CKN algorithm for duty-cycled wireless sensor networks[J]. International Journal of Distributed Sensor Networks, 2012(3):184-195. [13] CERPA A, WONG J L, KUANG L, et al. Statistical model of lossy links in wireless sensor networks[C]// The 4th international symposium on information processing in sensor networks, 2005. Los Angeles: IEEE, 2005: 81-88. [14] BERA S, MISRA S, ROY S K, et al. Soft-WSN: Software-defined WSN management system for IoT applications [J]. IEEE Systems Journal, 2016 (99):1-8. [15] OLIVIER F, CARLOS G, FLORENT N. SDN based architecture for clustered WSN[C]//Innovative Mobile and Internet Services in Ubiquitous Computing, 2015. Blumenau: IEEE, 2015: 342-347. [16] 张朝昆,崔勇,唐翯祎,等. 软件定义网络(SDN)研究进展[J]. 软件学报,2015,26(1):62-81. ZHANG C K, CUI Y, TANG H Y, et al. Research progress of software defined network[J]. Journal of Software, 2015, 26(1): 62-81.

相似文献/References:

[1]刘焱骊,沈斌*,胡中功,等.无线传感器网络分簇低延时MAC协议[J].武汉工程大学学报,2008,(04):85.
 LIU Yan li,SHEN Bin,HU Zhong gong,et al.A lowlatency clusterMAC protocol for wireless sensor networks[J].Journal of Wuhan Institute of Technology,2008,(05):85.
[2]熊俊俏,冯进维,罗帆.基于JN5139的无线传感器网络节点设计与实现[J].武汉工程大学学报,2010,(05):88.[doi:10.3969/j.issn.16742869.2010.05.024]
 XIONG Jun qiao,FENG Jin wei,LUO Fan.Design and implementation of wireless sensor network based on JN5139[J].Journal of Wuhan Institute of Technology,2010,(05):88.[doi:10.3969/j.issn.16742869.2010.05.024]
[3]曹鹏彬,胡加强.化工装备运行状态的无线传感器网络监测系统[J].武汉工程大学学报,2012,(7):50.[doi:103969/jissn16742869201207011]
 CAO Peng bin,HU Jia qiang.Monitoring system of running condition of chemical equipments based on wireless sensor network[J].Journal of Wuhan Institute of Technology,2012,(05):50.[doi:103969/jissn16742869201207011]
[4]杨帆,姜勇,杨元君.信息融合技术在矿井安全监测系统中的应用[J].武汉工程大学学报,2014,(05):64.[doi:103969/jissn16742869201405014]
 YANG Fan,JIANG Yong,YANG Yuan jun.Information fusion technology in application of mine safety monitoring system[J].Journal of Wuhan Institute of Technology,2014,(05):64.[doi:103969/jissn16742869201405014]
[5]郑更生,亢治虎*,高强.无线传感器网络自适应占空比媒体访问控制协议[J].武汉工程大学学报,2014,(09):74.[doi:103969/jissn16742869201409015]
 ZHENG Geng sheng,KANG Zhi hu,GAO Qiang.M/M/1/nbased media access control protocol in wireless sensor network with adaptive duty cycle[J].Journal of Wuhan Institute of Technology,2014,(05):74.[doi:103969/jissn16742869201409015]
[6]杨 帆,陈向诗瑶,李国平.楼宇单元配电箱遥控开关系统的设计[J].武汉工程大学学报,2015,37(03):58.[doi:10. 3969/j. issn. 1674—2869. 2015. 03. 012]
 ,,et al.Design of remote control switch system for building unit distribution box[J].Journal of Wuhan Institute of Technology,2015,37(05):58.[doi:10. 3969/j. issn. 1674—2869. 2015. 03. 012]
[7]朱灿基1,2,卢 涛*1,等.面向物联网的分布式跨平台数据传输系统设计[J].武汉工程大学学报,2015,37(03):74.[doi:10. 3969/j. issn. 1674—2869. 2015. 03. 015]
 ,,et al.Design of distributed cross-platform data transmission system based on Internet of things[J].Journal of Wuhan Institute of Technology,2015,37(05):74.[doi:10. 3969/j. issn. 1674—2869. 2015. 03. 015]
[8]马忠明,文小玲*,王 栋,等.无线传感器网络的光伏供电系统设计[J].武汉工程大学学报,2018,40(02):214.[doi:10. 3969/j. issn. 1674?2869. 2018. 02. 018]
 MA Zhongming,WEN Xiaoling*,WANG Dong,et al.Design of Photovoltaic Power Supply System for Wireless Sensor Networks[J].Journal of Wuhan Institute of Technology,2018,40(05):214.[doi:10. 3969/j. issn. 1674?2869. 2018. 02. 018]

备注/Memo

备注/Memo:
收稿日期:2017-05-08 基金项目:国家自然科学基金项目(61401107);武汉工程大学研究生教育创新基金项目(CX2016068)支持作者简介:赵 腾, 硕士研究生. E-mail: zhaoteng93@outlook.com
更新日期/Last Update: 2017-10-25