Mobility-Assisted on-Demand Routing Algorithm for MANETs in the Presence   of Location Errors
  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. 
Trung Kien Vu and Sungoh Kwon
cs.NI cs.IT math.IT