说明：本程序适用于VANET通信协议，即为AODV，是车载路由协议的一种经典协议

说明：AODV ROUTING PROTOCOL

说明：code for adding malicious node in aodv protocol for ns2

说明：AODV source codes for omnet++ used for adhoc network simulation.

说明：It is a basic code for aodv protocol in MANET

说明：Tinyos下的AODV路由协议的简单实现

说明：aodv routing protocol

说明：this code implement snoop in aodv by c++ in linux snoop use for intrusion detection system do steps: 1- install pcap library in linux 2- download snoop-1.0.tar.gz 3- compile the file by arm-linux libpcap captures packets and give node in piremious mode

说明：详细介绍了车联网中经典路由协议AODV的工作原理。

说明：The AODV code developed by the CMU/MONARCH group was optimized * and tuned by Samir Das and Mahesh Marina, University of Cincinnati

说明：HI THERE HOW ARE YOU THANK YOU ALOT

说明：NS2 2.28多径路由协议AOMDV的AODV.CC文件代码

说明：Aodv routing protocol glomosim implementation

说明：IDS system which generates first aodv scenario and then it can implement the black hole attack after that it is also detecting the attacker node and preventing the packets routing through them

说明：adding malicious nodes into existing aodv protocol in ns2

说明：Sinkhole attack in AODV

说明：Ad hoc On-Demand Distance Vector (AODV) Routing is a routing protocol for mobile ad hoc networks (MANETs) and other wireless ad hoc networks. This code describes no of packets received at the destination.

说明：AODV洪泛攻击，用NS2仿真的，可以运行

说明：aodv 详细流程图 有各类数据分组rreq，rrep，rrer等处理方法

说明：performance evaluation of reactive and proactive protocols. the performance is evaluated with respect to throughput over TCP and UDP connections types

说明：aodvuu 是无线ad-hoc网络在linux下实现的一种多跳路由协议，它具有很好的可移植性，可以运行在pc或者arm开发板上。

说明：AODV在NS2下的实现，并且有一份它的基于能量的改进

说明：Ad hoc成簇算法 gcc源代码 可改性很强

说明：AODV implemntation with 10 nodes for NS2

说明：STEPS FOR MAKING AODV ROUTING PROTOCOL IN MANET USING OPNET SIMULATOR

说明：jsim仿真工具当中的一个路由协议。AODV路由协议。进而实现了java平台下的wsn－aodv协议。

说明：AODV在LINUX上的应用，AODV的协议实现的分析

说明：This is a code for AODV Routing. It works with matlab. Enjoy it.

说明：Simple AODV for MANET implementation and Source code in MATLAB

说明：Energy Efficient AODV Approach