Abstract: Large progress in Wireless Sensor Networks (WSNs) technology produce the low-cost and very small electromechanical sensor nodes which has capability of sensing and processing various kinds of certain information as well as wireless communication between them. In recent years, Wireless Body Area Networks (WBANs) emerged as the most important research area from the existing WSNs technology. Its developed mainly for patient health monitoring. A WBAN consist from number of miniature sensor nodes which have capability of sensing data and wireless communication with each other as well as with the base station (Example: mobile phones, PDA) through a radio interface. The main challenge that arise with the WBAN is network life time. When any sensor node associated to the human body are battery operated devices, so, it has limited power and life time. Therefore, design power efficient protocols for WBANs are always needs to reduce energy consumption and prolong network life time. This study presents a new energy-efficient adaptive clustering routing protocol for WBANs which used fuzzy logic to efficiently maximize the network lifetime in term of improve network stable period. The suggested protocol used fuzzy logic concept in two effective places; To select a Cluster Head (CH) nodes in each round, based on three parameters (residual energy, distance to sink and RSSI). To select the optimal path from many different possible routes between sender and receiver nodes, based on three effective parameters (local battery level, traffic load and number of hops). Also, it used multi_hop and TDMA schemes to avoid data packets collisions at the sink. Simulation results in the MATLAB R (2009a) simulator shows that the percentage of energy consumption enhancement is more than 33% that lead to network lifetime improved more than 40% when compared our method with the m-Attempt protocol.