Transposition Based Energy Optimization Technique for Internet of Medical Things

Internet of Medical Things comprises of tiny sensors which have the limitations of having small sized batteries. Once these batteries are drained, they need to get recharged. The recharging if these batteries is not a solution in term of human health care as these sensors are implanted on human body. The energy is much more consumed in communication. In this paper a multi hopping and transposition based technique is proposed to make the routing between the sensors to have lesser distance factor which makes the communication energy to be consumed lesser. Euclidean distance formula is used so that the distance of the sensors from the sink is calculated.