Performance Evaluation of Bluetooth and Zigbee Using Monte Carlo Simulation

Wireless networking technologies are being implemented in quite a few devices including phones, mobiles, mp3 players etc. The performance of these technologies varies from one to another. The aim of this paper is to analyze the performances of two different low power consumption technologies: Bluetooth and Zigbee. The performance parameters include data coding efficiency and transmission rate. For the analysis we used Monte Carlo simulation and conclusion is drawn on the basis of its results to find the optimum performance among Bluetooth and zigbee. A brief analysis of these graphs is presented in the paper and from this analysis. We propose which of these two technologies Bluetooth or Zigbee gives better performance for data transfer. This analysis will help engineers to select proper technology for their applications. The results are carried out by using deterministic and stochastic models for evaluating the performance of Bluetooth and Zigbee in terms of transmission time and data coding efficiency. This paper draws a conclusion that Zigbee is superior at the low rate payload size than the misconception of Bluetooth in practical applications for data transfer, whereas Bluetooth is observed to perform efficiently at the higher end payload size. The simulation results verify that the stochastic model can effectively provide real time traffic with ideal performance. The analysis with random noise and jamming can be challenging future work.