One of the important technologies of the 5G is the device to device (D2D) network, where mobile device will communication together either over direct transmission or over multihop transmission without need for the base-station. And it is quite possible that D2D users overlap with human body network. For this reason, we proposed an internet of health things (IoHT) design that make cooperation possible between D2D users and human body sensors. Because we can consider the energy as the rarest provider in the Wireless Body Area Network (WBAN). Finding optimal and minimum required transmission power that can achieve a certain level of utility while utilizing as little power for transmission as possible plays an important role in reducing energy consumption. In this paper, we found the required transmission power of four transmission modes: the direct transmission mode, the dual-hop transmission mode, and two incremental cooperative transmission modes with Rayleigh channel fading in proposed IoHT design. In addition, we propose a power-efficient algorithm that we have termed efficient-power transmission mode selection-based (EPTMS) algorithm. The proposed algorithm is select appropriate transmission mode that it provides a minimum required transmission power which ensures a certain transmission rate. The numerical and simulation results exhibit that, when compared with the two master node cooperative protocol (TMNCP), EPTMS can improve network performance under general circumstances.