1. 武汉科技大学 机构 信息科学与工程学院,湖北,武汉,430081
2. 武汉科技大学 冶金自动化与检测技术教育部工程研究中心 机构,湖北,武汉,430081
3. 武汉科技大学 冶金工业过程系统科学湖北省重点实验室 机构,湖北,武汉,430081
纸质出版:2016
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吴鸿玲, 程耕国, 程骅. WSAN中任务智能执行的SDN控制模型[J]. 微电子学与计算机, 2016, 33(12): 108-112.
WU Hong-ling, CHENG Geng-guo, CHENG Hua. SDN Control Model for Intelligent Task Execution in WSAN[J]. 2016, 33(12): 108-112.
软件定义网络(SDN)是一种新技术
为了提高WSAN的通信效率以及可扩展性
讨论了将SDN应用于WSAN的模型上.具体模型包括一个具有全新控制平面的三层架构、相应的系统实体以及加强了的协议栈.实验结果表明
SDN采用控制和转发相分离的架构
使复杂的网络管理变得简单和方便.
Wireless sensor and actor network (WSAN) has good prospects for application
it is widely used in many fields
such as industry
traffic-transportation and health care. However
its heterogeneity
mobility
energy consumption
topology and other issues will be a challenge to the effective operation of the WSAN. Software Defined Network (SDN) is a new technology that it can configure networks and solve the conflict of rules in the distributed system easily and effectively in a centralized and programmable pattern. In order to improve the communication efficiency and scalability of WSAN
this paper studies the model that applying SDN to the WSAN model. The specific model includes three-layer architecture with a new control plane
the corresponding system entities and strengthened protocol stack. The experimental results show that the architecture of the separation of control and forwarding that SDN has adopted can make the complex network management become simple and convenient.
Valdivieso Caraguay Angel Leonardo, Benito Peral Alberto, Barona Lopez Lorena Isabel, et al. SDN: Evolution and opportunities in the development IoT applications[J]. International Journal of Distributed Sensor Networks, 2014, 10(5): 1-10. DOI: 1
Qin Zhijing, Denker Grit, Giannelli Carlo, et al. A software defined networking architecture for the internet-of-things[C]//Proc. of IEEE/IFIP Network Operations and Management Symposium: Management in a Software Defined World. Krakow: IEEE, 2014.
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Aaseer Sabri, Syed Alwee Aljunid, Muhammed Sabri Salim, et al. Cognitive wireless sensor actor network: An agricultural perspective[J]. International Journal of Innovative Computing, Information and Control, 2014, 10(2): 631-658. DOI: 631
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Han Zhi-Jie, Ren Wanli. A novel wireless sensor networks structure based on the SDN[J]. Irnational Journal of Distributed Sensor Networks, 2014, 10(3): 1-7. DOI: 1
Zhu Chunsheng, Laurence T Yang, Shu Lei, et al. Insights of Top-k query in duty-cycled wireless sensor networks[J]. IEEE Transactions on Industrial Electronics, 2015, 62(2): 1317-1328. DOI: 1317
Wang Yanwen, Chen Hainan, Wu Xiaoling, et al. An energy-efficient SDN based sleep scheduling algorithm for WSNs[J]. Journal of Network and Computer Applications, 2016, 59: 39-45. DOI: 39
Tie Luo, Tan Hwee-Pink, Quek T Q S. Sensor openflow: Enabling software-defined wireless sensor networks[J]. IEEE Communications Letters, 2012, 16(11): 1896-1899. DOI: 1896
Zhu Chunsheng, Victor C M Leung, Lei Shu, et al. Green internet of things for smart world[J]. IEEE Access, 2015, 3: 2151-2162. DOI: 2151
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