Abstract: The need for communication becomes mandatory during critical conditions of the patient. The wireless body sensor node dies due to its power starving nature and becomes unavailable when it is in need. Considering this problem, the lifetime of the network has been increased by choosing relay node based on the energy status of the relay node. The patient state is classified into normal and abnormal state based on the data from the sensor. The data from the HB and ECG signal are cross correlated with the patient reference signal. The patient state is realized as a Finite State Machine (FSM) and analyzed with markov model. Under abnormal condition the network is realized as star topology and all sensors are awakened and close monitoring is done. The node reserves a part of energy for monitoring critical condition of patient. The proposed Energy Efficient Routing Solution (EERS) is compared with existing protocols. The algorithm outperforms the other algorithm in terms of lifetime by 1.26 times, throughput by 1.12, when compared with M-ATTEMPT and avoid energy hole problem. The algorithm serves to be the better solution for uninterrupted monitoring of patient in critical condition.
A. Durga Prasad, B. Niranjan N. Chiplunkar and K. Prabhakar Nayak, 2017. Energy Efficient Routing Solution (EERS) for Wireless Body Sensor Network Considering Critical Situations. Asian Journal of Information Technology, 16: 82-87.