Dear  Iftikhar

Choosing the best approach for mobile user localization is highly depended to your specific scenario which you want to work with. For example, the major techniques are:

1. RSS,TOA,TDOA (Trilateration), AOA (Triangulation) which are range-based techniques. These techs are the most common localization algorithms for wireless sensor networks. For example the TDOA technique is the major tech in mobile user geolocation in CDMA and also new generations, because it dosen't need to mobile station (MS) synchronization with network. However, techniques like TOA needs MS synchronization with networks. It's worth to mention that the performance of this group of techs usually degrades in dense multipath environments.

2. Range-free techniques like: Hop count based tech. and Neighborhood based techniques

3. Map Matching and wireless fingerprinting techniques: These tech. are very practical in cluttered environments and areas with dense multipath, because they use the wireless signature (channel characteristics). However, these techs need a prior database preparation and also they have high computation complexity because of their classification and pattern recognition nature. 

4. Dead Reckoning(DR), ...

As you could see, the selection of the best localization techniques depends on your scenario. 

Hope this helps.

Dear  Iftikhar

Choosing the best approach for mobile user localization is highly depended to your specific scenario which you want to work with. For example, the major techniques are:

1. RSS,TOA,TDOA (Trilateration), AOA (Triangulation) which are range-based techniques. These techs are the most common localization algorithms for wireless sensor networks. For example the TDOA technique is the major tech in mobile user geolocation in CDMA and also new generations, because it dosen't need to mobile station (MS) synchronization with network. However, techniques like TOA needs MS synchronization with networks. It's worth to mention that the performance of this group of techs usually degrades in dense multipath environments.

2. Range-free techniques like: Hop count based tech. and Neighborhood based techniques

3. Map Matching and wireless fingerprinting techniques: These tech. are very practical in cluttered environments and areas with dense multipath, because they use the wireless signature (channel characteristics). However, these techs need a prior database preparation and also they have high computation complexity because of their classification and pattern recognition nature. 

4. Dead Reckoning(DR), ...

As you could see, the selection of the best localization techniques depends on your scenario. 

Hope this helps.

Your answer is helpful. Would you like to tell me that, Is it possible to track a mobile node using WiFi? 

It is feasible. A number of localization methods employ Received Signal Strength (RSS) as a metric for location. In particular, RSS fingerprints can be easily obtained by WiFi.

Actually, WiFi technology has great potentials for indoor localization. You can refer to the following paper:

WILL: Wireless Indoor Localization without Site Survey, IEEE Transactions on Parallel and Distributed Systems

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=6216368

Dear Engineer Iftikhar;

This may help you.

http://www.ntu.edu.sg/home/sinnopan/publications/%5BTPAMI11%5DTracking%20Mobile%20Users%20in%20Wireless%20Networks%20via%20Semi-Supervised%20Co-Localization.pdf

Sincerely;

Dr. Fatty M. Salem