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无线传感器网络路由协议的设计与实现 被引量:1

Design and Implementation of Routing Protocol in Wireless Sensor Network
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摘要 针对传统路由协议端到端时延长、丢包率过高的现实问题,提出了一种基于贪婪转发的能量感知多路径路由协议(Greedy Forward Energy-aware Multipath Routing Protocol,GFEMRP)。GFEMRP从传感器起始结点出发,如果遇到网络黑洞则选择周边转发方式,否则将选择吞吐量大、且更接近于目的结点的结点作为下一跳结点。利用了OMNET++5.0和INET框架对包括无线自组网按需平面距离向量路由协议(Ad hoc on-demand distance vector routing protocol,AODV),动态按需无线自组织网络(Dynamic MANET On-demand,DYMO),贪婪周边无状态路由无线网络(Greedy Perimeter Stateless Routing for Wireless Networks,GPSR)和GFEMRP协议在内的四种路由协议进行了仿真和比较,实验结果表明GFEMRP协议具有良好的端到端时延、丢包率等性能。 To solve the problem of end-to-end delay and high packet loss radio in traditional routing protocols,a greedy forward energy-aware multipath routing protocol(GFEMRP)is proposed.GFEMRP starts from the starting node of the sensor.If it encounters a network black hole,it chooses the peripheral forwarding mode.Otherwise,it chooses the node with large throughput and closer to the destination node as the next hop node.Four routing protocols including ad hoc on-demand distance vector routing protocol(AODV),dynamic MANET on-demand(DYMO),greedy perimeter stateless routing for wireless networks(GPSR)and GFEMRP are simulated and compared via OMNeT++5.0 and INET framework.Experimental results show that GFEMRP has much better performance,such as low end-to-end delay and packet loss rate.
作者 张瑾 刘会芳 Zhang Jin;Liu Huifang(Communications Brigade,Shanxi Provincial of Armed Police Corps,Taiyuan,030012)
出处 《数字通信世界》 2020年第1期13-14,18,共3页 Digital Communication World
关键词 路由协议 无线传感器网络 转发 能量感知 routing protocol wireless sensor networks forwarding energy-aware
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  • 1曹冬磊,曹建农,金蓓弘.一种无线传感器网络中事件区域检测的容错算法[J].计算机学报,2007,30(10):1770-1776. 被引量:29
  • 2Krishnamachari B, Iyengar S. Distributed Bayesian Algorithms for Fault-Tolerant Event Region Detection in Wireless Sensor Network. IEEE Trans on Computers, 2004, 53 (3) : 241-250.
  • 3Meng J, Li H S, Han Z. Sparse Event Detection in Wireless Sensor Networks Using Compressive Sensing // Proc of the 43rd Annual Conference on Infmrnation Sciences and Systems. Baltimore, USA, 2009:181-185.
  • 4Jain A K, Khare A, Pandey K K. Developing an Efficient Frame- work for Real Time Monitoring of Forest Fire Using Wireless Sensor Network//Proc of the 2nd IEEE International Conference on Paral- lel Distributed and Grid Computing. Solan, India, 2012:811-815.
  • 5Zhang Y, Meratnia N, Havinga P. Outlier Detection Techniques for Wireless Sensor Networks: A Survey. 1EEE Communications Sur- veys and Tutorials, 2010, 12(2) : 159-170.
  • 6Segal M L, Antonio F P, Elam S, et al. Method and Apparatus for Automatic Event Detection in a Wireless Communication System: USA, US6124810 A. 2000-09-15.
  • 7Vu C T, Beyah R A, Li Y S. Composite Event Detection in Wire- less Sensor Networks// Ptorc of the IEEE International Conference on Performance, Computing and Communications. New Orleans, USA, 2007:264-271.
  • 8Werner-Allen G, Lorincz K, Ruiz M, et al. Deploying a Wireless Sensor Network on an Active Volcano. IEEE Internet Computing, 2006, 10(2): 18-25.
  • 9Bahrepour M, Meratnia N, Havinga P J M. Automatic Fire Detec- tion : A Survey from Wireless Sensor Network Perspective. Technical Report, TR-CTIT-08-73. Enschede, The Netherlands: University of Twente, 2008.
  • 10Ding M, Chert D C, Xing K, et al. Localized Fault-Tolerant Event Boundary Detection in Sensor Networks// Proc of the 24th Annual Joint Conference of the IEEE Computer and Communications Socie- ties. Miami, USA, 2005, Ⅱ: 902-913.

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