Optimization health care resources in sensor network using fuzzy logic controller

Abstract

There are not enough medical professionals to meet timely and efficient health care for huge population demand. This demand will be exasperated in the future as more and more people are shying away to go to medical school because of large costs involved. The response time of the medical professional depends on the delays in receiving this information and the delay involved in processing the data before communicating to the right professional. This paper addresses the advantages of an intelligent processing of sensor data at the patient level using body area network. The proposed technique investigate the impact of communication technologies ZigBee and IEEE 802.15.6 on End to End (Patient to medical facility) delay, energy consumption along with the reduction of response times after the data is received at the medical facility. In the simulation, the traffic sent of sensor data rate with normal range threshold always keep better performance in the blood pressure, blood sugar, heart rate, SPO2 sensor and temperature sensor. And throughput with fuzzy logic has obvious advantage compared with fuzzy logic disable case.