Mobility-Assisted on-Demand Routing Algorithm for MANETs in the Presence of Location Errors

TL;DR

This paper introduces a mobility-assisted on-demand routing algorithm for MANETs that accounts for location errors using Kalman filtering, improving route reliability despite measurement inaccuracies.

Contribution

The paper presents a novel routing algorithm that incorporates location error mitigation through Kalman filtering, enhancing mobility prediction in MANETs.

Findings

The proposed algorithm outperforms previous methods in simulation environments.

Mobility prediction remains robust despite location measurement errors.

Route confidence estimation improves routing reliability.

Abstract

We propose a mobility-assisted on-demand routing algorithm for mobile ad hoc networks in the presence of location errors. Location awareness enables mobile nodes to predict their mobility and enhances routing performance by estimating link duration and selecting reliable routes. However, measured locations intrinsically include errors in measurement. Such errors degrade mobility prediction and have been ignored in previous work. To mitigate the impact of location errors on routing, we propose an on-demand routing algorithm taking into account location errors. To that end, we adopt the Kalman filter to estimate accurate locations and consider route confidence in discovering routes. Via simulations, we compare our algorithmand previous algorithms in various environments. Our proposed mobility prediction is robust to the location errors.