Fuzzy based route optimization in wearable biomedical wireless sensor network

The abnormal behavior of a patient as physiological parameters must reach the healthcare personal without any delay, and the corrective measures are taken promptly for saving lives. Wearable Biomedical Wireless Sensor Networks (W.B.W.S.N.) has a key part in this system since they can be easily communicated to Remote Healthcare Center (R.H.C.) by attaching it to the patients without creating any inconvenience to them. It consists of separate nodes in order to gather the patient’s info and transfer it to R.H.C. suppose the identified signal value is outside the normal range. The formation of W.B.S.N. from the nodes deploying with the patients and this network will direct the data on the base node to the destination node location in an effectual manner. This paper is associated with the formulation of fuzzy optimum solution as the minimum transportation cost by applying Pascal’s Triangle Graded Mean (P.T.G.M.) approach through trapezoidal fuzzy numbers using Fuzzy Induced North-West Corner (F.I.N.W.C.) technique in W.B.W.S.N. For this purpose, an optimized path is chosen for this communication to increase the lifetime of the nodes, and finally, an optimum solution is obtained as minimum transportation cost in less time for directing the info from the sender device to the receiving center.