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Efficient Dynamic-Power AODV Routing Protocol Based on Node Density
Computer Standards & Interfaces ( IF 5 ) Pub Date : 2020-06-01 , DOI: 10.1016/j.csi.2019.103406
Alwi M. Bamhdi

Abstract Mobile Ad Hoc Networks (MANET) allows versatile communication between host devices moving around in a state of flux. These networks have no fixed infrastructure thus making the routing of packets a continuous challenge to be optimally delivered under varying criteria such as when the number of nodes within an area increases the scope for interference between nodes which also increases significantly. Additionally, MANETs have low stability in areas with fast moving nodes which leads to their reduced longevity. This paper proposes a method by adapting the standard Ad hoc On-Demand Distance Vector (AODV) protocol to dynamically adjust transmission power usage, which is titled Dynamic Power-Ad hoc On-Demand Distance Vector (DP-AODV). This method uses the dependence of a transmission range on density to achieve this improvement. The results demonstrate that as density increases, DP-AODV shows decrease in delay than AODV and offering better performance for highly populated networks exceeding 200 nodes. The simulation results show that DP-AODV increase network throughput whilst reducing the node interference in a dense region, as well as it enhances the overall network performance with respect to the increased packet delivery fraction, reducing the control overheads and jitter, enhancing overall throughput, reducing interferences and finally, shortening end-to-end delay in medium to high density conditions.

中文翻译:

基于节点密度的高效动态功率AODV路由协议

摘要 移动自组织网络 (MANET) 允许在不断变化的状态下移动的主机设备之间进行多种通信。这些网络没有固定的基础设施,因此在不同的标准下(例如,当一个区域内的节点数量增加时,节点之间的干扰范围也显着增加时),数据包的路由成为一个持续的挑战。此外,MANETs 在节点快速移动的区域稳定性低,这导致它们的寿命缩短。本文提出了一种通过适应标准的 Ad hoc On-Demand Distance Vector (AODV) 协议来动态调整传输功率使用的方法,称为 Dynamic Power-Ad hoc On-Demand Distance Vector (DP-AODV)。该方法使用传输范围对密度的依赖性来实现这种改进。结果表明,随着密度的增加,DP-AODV 的延迟比 AODV 有所降低,并且为超过 200 个节点的高人口密度网络提供了更好的性能。仿真结果表明,DP-AODV 增加了网络吞吐量,同时减少了密集区域中的节点干扰,并且在增加的数据包交付率方面提高了整体网络性能,减少了控制开销和抖动,提高了整体吞吐量,减少干扰,最后缩短中高密度条件下的端到端延迟。
更新日期:2020-06-01
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