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Timely intervention can help save precious lives of people who are at risk from chronic diseases or fatal diseases such as cardiac arrest, heart diseases to mention a few. These are the major causes of disability and death across the globe. Continuous monitoring of vital body parameters can be useful in timely intervention which can save the lives of the patients suffering from chronic diseases which can be life threatening, also improve the quality of life. This can be done using Wireless Body Area Networks (WBAN) with sensors placed on human body. This network uses routing protocol to transmit the sensed data packets to the destination node. if the detected information falls into the category of emergency data, It is critical for sensor nodes to transmit data in a reliable and timely manner while consuming as little energy as possible. Existing protocols propose routing methods that classify traffic and prioritize emergency data transmission. However, apart from traffic classification, robust measures to reduce the loss of emergency packets at various levels during transmission have not been adequately addressed. This can reduce the reliability of emergency data, also increasing the traffic load and energy consumption in forwarder nodes. This shortcoming drives us to propose a routing protocol EER-QR (Energy Efficient Routing with QoS and Reliability) which uses specialized modules with measures for a specific task. Experimental results have demonstrated that EER-QR is Capable of reliably transmitting emergency data, minimizing network load and therefore extending network lifetime. This can help with proper diagnosis in such critical situations resulting in timely intervention and treatment saving the lives of patients.
Quality of Service (QoS) Aware Routing Reliability for Time Critical Packets Patient Monitoring Using Sensors Emergency Data in WBANs Traffic Classification in WBAN
Quality of Service (QoS) Aware Routing Reliability for Time Critical Packets Patient Monitoring Using Sensors Emergency Data in WBANs Traffic Classification in WBAN
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