Abstract-In this paper, we present a Quality of Experience (QoE) based upon the analyze the key Quality of Service (QoS) parameters such as delay, jitter, throughput, packet loss, packet inspection in the mesh networks which executing the better approach for reconfiguration wireless mesh networks in the routing protocol. In this system evaluates the actual QoE level for each mesh node taking into an account to calculate QoS parameters and then this response as reducing the node broadcasting rate and investigating the problems of selecting in which links would be established that all nodes are connected for cost of constructions are minimized.

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Recent evolutions in wearable and personalized healthcare devices have led to the emergence of real-time monitoring of the physiological and metabolic status of human beings. Detection of disorders related to potassium levels including hyperkalemia and hypokalemia is very much challenging in the current scenario. Potassium imbalance leads to massive change in electrical activity of the body especially disturbs the function of the brain, heart, nerves, bone and muscles in hospitalized patients. Potassium loss is a major concern in disorders such as hyperhidrosis and Cystic Fibrosis. Hence the real-time monitoring of potassium levels in the hospitalized patients may provide information related to latent cardiac problems and also assist in the diagnosis of apparent life-threatening diseases. Comprehensively, the real-time monitoring of potassium concentrations may shed light on the electrolyte loss, dehydration status and also the other associated diseases. In this study, the correlation between the electrocardiogram (ECG) signals and the potassium levels can diagnose the potassium imbalance in a non-invasive manner. The novelty of our work is to develop a wearable E-textile integrated sensor for the detection of hyperkalemia and hypokalemia through ECG signal. The main advantage of this product is wearable and portable, and also ensures the patient safety and user friendly particularly for elderly and disabled patients and also for children.

Network IDS perform a vital role in protecting network connection in the worldwide from malicious attack. Nowadays the recent experiment work related to inspecting the packet for network security that is a minimal amount of process overhead. In this work, analysis the network intrusion for packet inspection that is together the testing data which inspect only group of packet selected as sample predominantly from small flows and select first two packets and comparing with each other overall packets and create tabelazied for find out different malicious debuggers. This experiment results shows that overcome the existing work .

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