Comparative Throughput Analysis of Wireless EEG Network Based On IEEE 802.11 & IEEE 802.15.4

In the modern world evolution of science and technology has paved a way for the integration of numerous engineering fields into various sectors. Consequently, wireless communication has become an integral part of the newly designed products covering almost every aspect of life. Medical diagnosis carries no exception. In the diagnosis of neural disease, EEG is an essential element. Conventional EEG detectors use wired interface limiting patient mobility. The paper aims to investigate the comparative analysis of two wireless standards namely IEEE 802.11 and IEEE 802.15.4 to be used as a wireless transmission for the EEG signal. Integration of wireless node will enable EEG device to facilitate patient mobility, centralized resource sharing, remote monitoring of patients neural behavior. In case of an emergency situation like a hurricane, flood or a natural disaster EEG wireless device can be used for monitoring patient health remotely. In the proposed network we analyzed jitter, mac delay and throughput at IEEE 802.11 and IEEE 802.15.4 networks individually. Moreover three different mobility patterns circle, linear and constant speed was used to evaluate the effect on the network jitter, mac delay and throughput for each scenario. Hence the use of both wireless standards and different mobility patterns enabled us to select the best suited wireless standard for each mobility pattern.