Performance analysis of wireless sensor network with virtual MIMO

In this work, ray based simulation approach has been used for estimating the performance of WSN with MIMO and SISO techniques. The ray based simulation should produce more accurate results than model based simulation approach because it is more close to real life environment. In addition to simulation, Markov model based analytical approach has also been adopted. The transition probabilities among various states of the Markov model has been evaluated using the data produced by the ray trace simulator. It is also giving better performance as compared to Rayleigh fading channel based Markov models approach. LEACH clustering protocol has been used with a slight modification in terms of selecting secondary cluster head. Alamouti space-time code has been used with V-MIMO and significant improvement in the overall life time has been observed as compared to SISO WSN.