Abstract
Wireless Body Area Network (WBAN) is a collection of miniaturized sensing nodes and coordinator nodes. These sensing nodes are placed in, on and around the body for uninterrupted monitoring of physiological data for medical applications. The main application carrier of WBAN is the human body and due to human body movement and physiological changes, the WBAN traffic fluctuates greatly. This network traffic fluctuation requires good network adaptability. In addition to traffic fluctuations, energy consumption is another key problem with WBANs as sensing nodes are very small in size. This paper design a reliable protocol by extending the MAC protocol for reducing energy consumption, PAP algorithm to decide data transmission rate and JOAR algorithm to select the optimize path for the data transmission. The performance of the algorithm outperforms other state of art algorithms to shows its significance.
Highlights
Wireless Body Area Networks (WBAN) have recently attracted a wide interest of biomedical applications to realize undiscovered fields of medical services
In WBANs, a communication network centering on human body is created by connecting micro-sized sensors attached to human body and communication devices around the body [1]
This setup is able to monitor and collect physiological signals such as body temperature, blood pressure, heart rate, electrocardiogram (ECG) and electroencephalogram (EEG) etc. along with body motion and surrounding environment [2]. These signals are to be forwarded to remote monitoring centers with high efficiency of energy utilization and minimized latency for emergency data whenever a node senses any critical signal about human body
Summary
Wireless Body Area Networks (WBAN) have recently attracted a wide interest of biomedical applications to realize undiscovered fields of medical services. In WBANs, a communication network centering on human body is created by connecting micro-sized sensors attached to human body and communication devices (e.g. mobile phones, PDA etc.) around the body [1] This setup is able to monitor and collect physiological signals such as body temperature, blood pressure, heart rate, electrocardiogram (ECG) and electroencephalogram (EEG) etc. There is a need of MAC protocol that can provide an energy balance between the sensing nodes and coordinator and provide minimum transmission delay for emergency data. These MAC protocol issues lead us to design our proposed protocol.
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