03-033: Mobility Tracking for Cellular and Ad Hoc Wireless Networks

Scientists at George Mason University have developed a new algorithm for robust mobility tracking in wireless ad hoc networks.

This novel approach tracks the mobility of nodes in a network based on pilot signal strength or RSSI (Received Signal Strength Indicator) measurements The model is able to track and predict the location, velocity, and acceleration of mobile nodes and requires knowledge of only one network node as opposed to the knowledge of three points to track the position of a given mobile node.
Estimation of the state is performed by means of an extended Kalman filter coupled with a pre-filter.

Features:
- Tracks mobile nodes accurately in real-time
- Predict future mobility behavior in various kinds of propagation environments
- Ability to follow mobile trajectories accurately over a wide range of parameter values.
- Can be used in adaptive clustering and dynamic routing

Market Significance:
The effectiveness of any routing algorithm depends heavily on the accuracy and timeliness of the available network topology information. Existing geo-Iocation techniques based on GPS alone require clear line-of-sight and cannot be used in indoor and RFshadowed environments, and are not able to predict future mobility behavior.
Our mobility tracking model not only can predict future mobility behavior but does not require any prior knowledge of the coordinate of the reference nodes and is easily adaptable to indoor as well as outdoor propagation environments.

The absence of a fixed infrastructure in wireless ad hoc networks make has made them suitable for use in emergency situations as well as for low cost commercial systems. The mobility information provided by the tracking algorithm can be used to improve the performance of ad hoc routing algorithms, achieve higher network resource utilization, and improve quality of service for mobile users.