AODV routing overhead analysis based on link failure probability in MANET

This article puts forward an Ad-hoc on-demand distance vector routing （AODV） routing overhead analysis method in mobile Ad-hoc network （MANET）.Although multiple routing protocols have been proposed to improve the performance,scarcely any paper analyzed the routing overhead caused by routing setup and maintenance processes in mathematical way.Routing overhead consumes part of network resources and limits the supported traffic in the network.For on-demand routing protocols like AODV,the routing overhead depends on the link failure probability to a great extent.This article analyzes the collision probability caused by hidden-node problem and the impact on link failure probability.In chain and rectangle scenarios,it presents a mathematical analysis of the theoretical routing overhead of AODV protocol based on link failure probability.Simulations on OPNET 14.5 platform match well with the theoretical derivation which confirms the effectiveness of the analysis method.

基于邻居缓存的AODV路由协议

在移动自组网(MANET)中,传统的洪泛和扩展环路由发现方法路由开销较大。针对这一问题,提出一种基于邻居缓存的路由发现算法。该算法从网络中的各种数据分组中提取单跳邻居信息,建立邻居信息缓存表。在此基础上,将路由搜索分解为两个步骤:1)寻找刚刚和目标节点接触过的节点;2)找到后以它为中心展开新的扩展环搜索。使搜索限定在目标节点最可能出现的区域,减少了路由发现的盲目性,从而降低路由开销。仿真结果表明,与洪泛和传统扩展环算法相比,该方法节省了路由开销,提高了网络性能。

基于方向预测的移动自组网概率转发算法

移动自组网中传统的路由算法大多采用拉网式的盲搜索,导致路由开销较大,针对这一问题,提出一种基于方向预测的概率转发算法。该算法通过监听网络中传输的各种数据包,从中提取节点ID和时间信息,这些信息反映了到目的节点的距离;在此基础上,计算节点的转发概率,并根据网络的变化自适应地调整,使得路由过程始终沿着目的节点所在方向进行,限定了搜索区域。仿真结果表明,该算法的路由开销比洪泛降低了70%,比经典概率转发算法降低了20%,提高了网络性能。