Study on Congestion Characteristics and Control Strategies of Wireless Sensor Network
文献类型：会议论文
| 作者 | Yu, Haoran; Liang W(梁炜)
|
| 出版日期 | 2016 |
| 会议名称 | International Conference on Control and Automation (ICCA) |
| 会议日期 | January 15-17, 2016 |
| 会议地点 | Shenzhen, PEOPLES R CHINA |
| 关键词 | Wireless sensor network (WSN) Congestion control Cognitive wireless sensor network SimpliciTI protocol |
| 页码 | 409-414 |
| 通讯作者 | Yu, Haoran |
| 中文摘要 | In recent years, Wireless sensor network has been developed as a new information acquisition technology. It has been widely used in many fields such as environmental monitoring, industrial control and so on. In addition, it has many characteristics such as multi hop transmission, multi transmission, limited resources and so on. Not only easily lead to network congestion, but also makes the traditional congestion control mechanism has been unable to effectively solve its congestion control problem. Therefore, the research of congestion control mechanism about wireless sensor network has important practical significance and application value. In this paper, we study the congestion control strategy based on the characteristics of wireless sensor network, and propose a congestion avoidance mechanism based on cognitive wireless sensor network. On this basis, according to the OSI model (OSI) defined by SimpliciTI protocol, the physical layer, MAC layer and the network layer is realized, the cognitive users communication process is described from the perspective. |
| 收录类别 | CPCI（ISTP） |
| 产权排序 | 2 |
| 会议录 | INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION (ICCA 2016)
 |
| 会议录出版者 | DESTECH PUBLICATIONS, INC |
| 会议录出版地 | LANCASTER |
| 语种 | 英语 |
| ISBN号 | 978-1-60595-329-8 |
| WOS记录号 | WOS:000387547700066 |
| 源URL | [http://ir.sia.cn/handle/173321/20078]  |
| 专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
| 推荐引用方式 GB/T 7714 | Yu, Haoran,Liang W. Study on Congestion Characteristics and Control Strategies of Wireless Sensor Network[C]. 见:International Conference on Control and Automation (ICCA). Shenzhen, PEOPLES R CHINA. January 15-17, 2016. |
入库方式： OAI收割
来源：沈阳自动化研究所
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