Research On AODV Routing Protocol And Its Application In Mobile Devices

The ad hoc on-demand distance-vector(AODV) routing protocol has been designed for use in ad hoc networks, which are presently receiving wide interest within many diverse research communities. These networks represent a significant departure from traditional wired networks due to the distinguishing characteristics of both the wireless channel and mobile devices. Consequently, AODV incorporates many novel features for handling mobility, reduced capacity links, and the variable, indeterminate nature of the signaling range of wireless media. Since its initial design, AODV has evolved in a number of ways for improved performance, robustness, and better scalability. Nevertheless, we see many opportunities for continued improvement.This thesis presents an algorithm for a mesh based ad hoc on-demand distance vector(AODV) routing protocol scenario of mobile ad hoc network(MANET) where cell phones, PDAs and other handheld devices could be able to use Wi-Fi that they are equipped with, to connect with other devices by using ad hoc network in a defined area. The network is formed without support of any central administration or fixed infrastructure. Although the algorithm for MANET has been proposed earlier, it presented weakness such as limited battery power, impulsive mobility and low frequency of mobile signals strength in nodes. Therefore, there was a need to overcome those limitations. As such, in this thesis, we add a link breakage prediction algorithm to one ondemand routing protocol AODV. The mobile node that implements the prediction algorithm uses signal power strength from the received packets to predict the link rupture point, and sends a warning to the source node of the packet if the link is soon-to-bebroken. The source node can perform a maintenance route rebuild to avoid disconnection. To verify the correct functionality of the protocol, this algorithm was implemented on NS2 simulator and performed extensive simulations results under different scenarios. A part of this algorithm was implemented in mobile phone that uses android operating system and the outcome proved that this algorithm?s performance is promising.