The importance of health monitoring as an enabling technology for the future development of sensors has been widely accepted. A lot of literature in the recent past has optimized the performance of Health Monitoring in terms of energy conservation, energy harvesting, path and latency optimization. The major work in the Health Monitoring related to MAC and network layer issues. In order to take the advantage of Health Monitoring, to create a robust Cloud infrastructure routing protocols in the wsn need to be revisited. So in this Report, the cluster-based routing protocols that appear to be applicable for the Cloud infrastructure have been identified. In doing so, the performance of Ehealth monitoring with fault tolerance in cloud was found to be better. Restricted energy is of prime worry for the Health Monitoring, as well spring of energy is limited. Sensor Nodes are utilized to intermittently detect nature, do constrained preparing before transmitting the detected information to their cluster heads (CH) and occasionally take an interest in the cluster head determination handle. In this manner transmitting Nodes limit energy wastage in transmission past the area ;of intrigue and abstain from catching by the vast majority of the nodes. Using priority queue reduces the packet drop ratio. Hence more packets are transferred from nodes to CH and from CH to BS. Rather dense network is considered in which Intra-cluster correspondences are performed at lower power level and just those cluster heads are permitted to seek cluster head determination, which have remaining energy over an edge level. The performance of Ehealth monitoring with fault tolerance in cloud, SEP, Health Monitoring with low energy aggregation protocols has been evaluated in terms of important performance metrics like throughput, dead nodes, energy consumption and packet transmitted to base station.

The proposed approach follows iterative approach of Modified Distributed energy efficient protocol for conserving energy of sensor uses the selection of cluster head. The cluster head selection involves multiple parameters including distance, energy and density of nodes. The cluster head selection process thus is multiheuristic in nature. The cluster head selection could be multiple by the application of proposed approach. Result obtained is given in terms of number of packets to base station, packets to cluster head, alive nodes and dead nodes. Proposed literature analysis performance of optimal energy aware routing protocols. proposed is found to optimal but health monitoring with fault tolerance in cloud can also be improved to match the performance with PROPOSED. In order to accomplish that dense network with square distance parameter is considered. Result has been improved in terms of energy consumption and number of dead nodes. In this report, we have suggested modified health monitoring with fault tolerance in cloud protocol with the priority queue in which number of data transmitted to the base station is more as compared to the existing health monitoring with fault tolerance in cloud. In the existing health monitoring with fault tolerance in cloud, priority queue is not taken so packet drop ratio is high and less messages transmitted.

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