A Monte Carlo Machine Design to Obtain CSMA/CA Parameter Values for Unslotted IEEE 802.15.4 Based Networks

Abstract

IEEE 802.15.4 protocol is often used in wireless personal area networks. The protocol, which consumes low energy and has low computational complexity, is preferred in many applications. Assigning the best suitable values to CSMA/CA parameters, which are used for accessing the channel, is an important task that affects the communication performance. These values are variables depending on network type and network traffic. In this paper, tests were made according to network types using Monte Carlo simulations and the best values were found. The impact of parameters is observed while obtaining these values for the corresponding network type under various data traffic. The impact of calculated values using Monte Carlo machine, which is designed for this process, is analyzed. The best parameter values for various network types and network traffics are proposed to network designers