Shahrood University of Technology Journal of AI and Data Mining 2322-5211 9 3 2021 07 01 DTEC-MAC: Diverse Traffic with Guarantee Energy Consumption for MAC in Wireless Body Area Networks 403 414 2118 10.22044/jadm.2021.10117.2149 EN F. Rismanian Yazdi Department of Computer Engineering, North Tehran Branch, Islamic Azad University, Tehran, Iran M. Hosseinzadeh Mental Health Research Center, Psychosocial Health Research Institute, Iran University of Medical Sciences, Tehran, Iran S. Jabbehdari Department of Computer Engineering, North Tehran Branch, Islamic Azad University, Tehran, Iran Journal Article 2020 10 08 Wireless body area networks (WBAN) are innovative technologies that have been the anticipation greatly promote healthcare monitoring systems. All WBAN included biomedical sensors that can be worn on or implanted in the body. Sensors are monitoring vital signs and then processing the data and transmitting to the central server. Biomedical sensors are limited in energy resources and need an improved design for managing energy consumption. Therefore, DTEC-MAC (Diverse Traffic with Energy Consumption-MAC) is proposed based on the priority of data classification in the cluster nodes and provides medical data based on energy management. The proposed method uses fuzzy logic based on the distance to sink and the remaining energy and length of data to select the cluster head. MATLAB software was used to simulate the method. This method compared with similar methods called iM-SIMPLE and M-ATTEMPT, ERP. Results of the simulations indicate that it works better to extend the lifetime and guarantee minimum energy and packet delivery rates, maximizing the throughput. https://jad.shahroodut.ac.ir/article_2118_e3ebd70efefc121a646dd6cb37a5b7ab.pdf