MATLAB Implementation of AODV and DSR Routing Algorithms for Mobile Networks

In mobile networks, various routing algorithms address communication challenges between nodes. Among these, AODV (Ad-hoc On-demand Distance Vector) and DSR (Dynamic Source Routing) represent two commonly used approaches. To determine optimal paths using these algorithms, we developed corresponding MATLAB programs that calculate shortest paths and facilitate data transmission based on known node information. The implementation involves several key components: - Network topology modeling using adjacency matrices or graph structures - Path discovery mechanisms implementing AODV's route request/reply packets and DSR's source routing features - Route maintenance algorithms handling node mobility and link failures When designing these programs, we considered multiple factors including network topology, node positions, signal strength metrics, and mobility patterns. The AODV implementation features route table management with sequence numbers for loop prevention, while the DSR implementation utilizes route caches and source route headers. Through these MATLAB implementations, we can optimize network performance by: - Implementing Dijkstra's or Bellman-Ford algorithms for path calculation - Simulating packet transmission with latency and reliability metrics - Analyzing routing overhead and path efficiency under different network conditions This approach enhances data transmission efficiency and accuracy while providing practical tools for mobile ad-hoc network research and development.