Mobility-assisted on-demand routing algorithm for MANETs in the presence of location errors

Area of Science:

• Computer Science
• Network Engineering
• Mobile Computing

Background:

• Mobile ad hoc networks (MANETs) rely on location awareness for efficient routing.
• Location errors in MANETs degrade mobility prediction and routing performance.
• Previous routing algorithms often overlook the impact of location errors.

Purpose of the Study:

• To propose a robust mobility-assisted on-demand routing algorithm for MANETs.
• To mitigate the negative effects of location errors on routing performance.
• To enhance the reliability of route discovery in the presence of measurement inaccuracies.

Main Methods:

• Developed a mobility-assisted on-demand routing algorithm.
• Integrated Kalman filter for accurate location estimation.
• Incorporated route confidence metrics into the route discovery process.
• Conducted comparative simulations in diverse network environments.

Main Results:

• The proposed algorithm demonstrates improved routing performance compared to existing methods.
• Mobility prediction accuracy is maintained despite the presence of location errors.
• The algorithm shows robustness across various simulated network conditions.

Conclusions:

• The proposed routing algorithm effectively handles location errors in MANETs.
• Kalman filtering and route confidence are key to robust routing.
• This approach enhances the practical applicability of location-aware routing in real-world MANETs.