[1]范晓军[][],刘林峰[][][],李思颖[]. 基于应急场景的自组织网络机会路由算法[J].计算机技术与发展,2017,27(03):6-11.
 FAN Xiao-jun[][],LIU Lin-feng[][][],LI Si-ying[]. An Opportunistic Routing Algorithm Based on Emergency Scenario in Ad Hoc Networks[J].,2017,27(03):6-11.
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 基于应急场景的自组织网络机会路由算法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
27
期数:
2017年03期
页码:
6-11
栏目:
智能、算法、系统工程
出版日期:
2017-03-10

文章信息/Info

Title:
 An Opportunistic Routing Algorithm Based on Emergency Scenario in Ad Hoc Networks
文章编号:
1673-629X(2017)03-0006-06
作者:
 范晓军[1][2]刘林峰[1][2][3]李思颖[1]
 1.南京邮电大学 计算机学院,江苏;2.;江苏省无线传感网高技术研究重点实验室;3.东南大学 计算机网络和信息集成教育部重点实验室
Author(s):
FAN Xiao-jun[1][2]LIU Lin-feng[1][2][3]LI Si-ying[1]
关键词:
 移动自组织网络机会路由算法应急场景稳定值
Keywords:
 Ad Hoc networksopportunistic routing algorithmemergency scenariostability value
分类号:
TP301.6
文献标志码:
A
摘要:
 应急场景是移动自组织网络的重要应用场景,在该场景中难以保证节点能够实时通信,为了在高效转发数据包的同时尽量减少网络传输中的时延,提出了基于稳定值的机会网络路由算法,并在其中引入了稳定因子的概念,将节点的移动规律与其邻居节点进行关联.对网络中的节点根据稳定值进行分类,稳定性越好的节点转发概率越高,更容易受到节点转发消息的青睐.此外,考虑到应急场景的动态性、复杂性,算法还会对节点的稳定性进行动态更新.仿真结果表明,在不同的网络规模下,逐渐增加网络中的节点数量,相比于传统的Epidemic、Direct Delivery以及Prophet路由算法,该算法的网络开销能接近较高水平,取得较高的消息送达成功率,降低平均网络时延,适用于应急场景.
Abstract:
 Emergency scenario is an important application scenario of Ad Hoc Networks. In this scenario,it is difficult for nodes to ensure the communication. It becomes one of the goals that forwarding data packet efficiently while minimizing the transmission delay. A new opportunistic routing algorithm based on stability value is proposed,introduction of the concept of stable factor in it that the movements of nodes are associated with their neighbors. The node which has better stability is prone to receive the data packet. Moreover,with regard to the dynamics and complexity of the emergency scenario,the algorithm will dynamically update the stability of the nodes. According to simulation results,compared with the traditional routing algorithm like Epidemic,Direct Delivery,Prophet,the proposed algorithm suitable for emergency scenario can reduce the overhead and improve the delivery ratio in different network scales.

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更新日期/Last Update: 2017-05-12