西安电子科技大学学报 ›› 2019, Vol. 46 ›› Issue (4): 87-98.doi: 10.19665/j.issn1001-2400.2019.04.013

• • 上一篇    下一篇

层次型软件定义无线传感器网络资源调度策略

甄岩1,2,3,4,赵虎1,2,3()   

  1. 1.重庆邮电大学 通信与信息工程学院,重庆 400065
    2.重庆高校市级光通信与网络重点实验室,重庆 400065
    3.泛在感知与互联重庆市重点实验室,重庆 400065
    4.国网信息通信产业集团有限公司,北京 100031
  • 收稿日期:2019-01-07 出版日期:2019-08-20 发布日期:2019-08-15
  • 通讯作者: 赵虎
  • 作者简介:甄 岩(1982—),男,高级工程师,博士,E-mail: zhenyan@sgepri.sgcc.com.cn
  • 基金资助:
    国家自然科学基金(61871062);国家自然科学基金(61771082);重庆市高校创新团队建设计划(CXTDX201601020)

Resource scheduling strategy in hierarchical software defined wireless sensor networks

ZHEN Yan1,2,3,4,ZHAO Hu1,2,3()   

  1. 1.School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
    2.Key Laboratory of Optical Communication and Networks in Chongqing, Chongqing 400065, China
    3.Key Laboratory of Ubiquitous Sensing and Networking in Chongqing, Chongqing 400065, China
    4.State Grid Information & Telecommunication Co. Ltd, Beijing 100031,China
  • Received:2019-01-07 Online:2019-08-20 Published:2019-08-15
  • Contact: Hu ZHAO

摘要:

为了解决传统无线传感器网络基于特定任务导致资源利用率及能量效率低下,且无法适应网络拓扑动态变化的问题,提出了针对多任务并发场景的层次型软件定义无线传感器网络资源调度策略。将软件定义网络引入无线传感网实现控制层和数据层解耦,通过灵活的网络资源调度策略同时完成多个任务,在保证监测质量的前提下,最小化网络总能耗;此外,软件定义的主节点可及时获取网络拓扑变化,并通过簇头节点实现簇内资源调度,提高优化效率,并降低能量消耗。结果表明,所提出的全局网络资源调度策略提高了能量效率和资源利用率,簇内资源调度在高效解决网络动态事件的同时降低了主节点的控制开销。

关键词: 无线传感器网络, 软件定义网络, 网络资源调度, 节点激活, 簇内优化

Abstract:

Aiming at the problem of low resource utilization, poor energy efficiency and inability to adapt to the dynamic changes of network topology in task-specific traditional wireless sensor networks(WSN), this paper proposes a hierarchical software-defined wireless sensor networks (SDWSN) resource scheduling strategy for the multi-task concurrent scenario. In this strategy, software-defined networking(SDN) is utilized to implement the decoupling between control layer and data layer, multiple tasks can be accomplished simultaneously by flexible network resource scheduling , and the network total energy consumption can be minimized under the premise of ensuring the sensing quality. Besides, the software-defined master node can obtain the changes of network topology in time, and then an intra-cluster resource scheduling strategy is implemented by cluster heads, which improves optimization efficiency and reduces energy consumption. The results show that the proposed global network resource scheduling strategy can improve energy efficiency and network resource utilization. Moreover, the intra-cluster resource scheduling strategy can reduce the control overhead of the master node while solving the network dynamic events efficiently.

Key words: wireless sensor networks, software defined networking, network resource scheduling, node activation, intra-cluster optimization

中图分类号: 

  • TN92