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Wireless Body Area Network is an inherent part of Wireless Sensor Network, where a number of sensor nodes are deployed strategically to the human body to sensed physiological parameters and transmit it to medical personnel via the internet for an examination. Since the power source of these nodes are been derived from the rechargeable batteries, it suffices the user to always make sure that there is continuity of the network operation by adopting the hop-elimination method and Time Division Multiple access to have a successful data transmission to its destination node at a given time, in order to tackle the energy limitation of the WBANs. To work on this limitation, this work proposes an improving throughput for an improved dual-sink clustering approach for WBAN to attain energy efficiency. Simulation is carried out MATLAB 2017b. The result of the improved algorithm over the existing algorithm in terms of throughput shows a 6.59% improvement.