Location Based Services: Positioning techniques

A general model

Context

Since the early 90s the interest in Location Based Services (LBS) has increased. This is related to the shift of context awareness of computer devices, the '911 mandate' of the Federal Communication Commission (FCC) and the developments in next generation cellular networks. More and more companies acknowledge that location information can increase the average revenue per user. But location information also plays a great role in the world of transport and logistics, for example. Location based information can present a solution for an increasing range of problems.
There are many positioning techniques available in the world. Some (known) examples are GPS, GSM, Bluetooth and RFID. But which technique provides the best solution for a specific (location-based) problem? The number of positioning techniques is so large and diverse that it is impossible to research them all for a specific problem. The choice of a specific technique is now often arbitrary. People have heard about the techniques, the already know something about it, etcetera. This doesn't mean that the chosen technique is the most suited technique for the problem. And perhaps very suitable techniques could be overlooked. This can lead to unnecessary investments in research and implementation of positioning techniques.

Objective

The objective of this thesis was the development of a model that will assist in choosing a specific location technique. On the basis of a number of specific input factors the model will advise on the most suitable positioning technique(s). The input filters are features of the problem that could play a role in the decision, for example: accuracy, battery life or data rate. The model can be found under the menu-item: 'Technique checker'.