Abstract: Wireless Body Area Networks (WBANs) are the most important area emerged from Wireless Sensor Networks (WSNs) to measure different vital signs of human body in term of remote healthcare monitoring. It comprises from tiny, intelligent and limited power sensors organized in/on or around the patient’s body for diagnosis and long monitoring. Due to WBANs sensor nodes have limited battery power, so, the main challenge that airs with those networks are the battery power consumption and network life time. This research focuses on design and implement a reliable, high throughput and power efficient, fuzzy-based clustering routing protocol for WBANs. The proposed protocol combines many effective techniques (like clustering, routing, TDMA, single-hop and multi-hop techniques). The fuzzy logic concept is presented with two effective techniques: clustering: fuzzy logic used to select a cluster head based on two effecting parameters (residual energy and distance to sink). Routing: fuzzy logic used to choice the best route from many different possible routes between the sender sensor node and the receiver (sink), depended on three reliable parameters (route length, path loss and end-to-end delay). The proposed system utilizes a Time Division Multiple Access (TDMA) scheme in order to scheduling transmission of sensor nodes to the cluster heads and avoid data packets collisions at the sink. The performance of the proposed protocol was compared with the performance of SIMPLE and M-ATTEMPT. The performance analysis and comparison of the results which obtained after simulations in Java V(8) R(2018) Software, shows that the proposed protocol consumes minimum energy till 80% of simulation time (has the highest remaining energy) as compared with other selected protocols. Also, the results obtained shows that the proposed protocol improved the network life time more by 12, 22%, respectively and sends 20, 26%, respectively, more packets to base station as compared to SIMPLE and M-ATTEMPT protocols.