European Journal of Molecular & Clinical Medicine

This paper discusses the concept as well as application of an adaptive networked ehealth program. In particular after an incident or an disaster, the program is targeted at avoiding manual data entry and improving the capacity to have beds in hospitals, especially at mass occasions where a huge amount of people gather in one location.The device design is focused on medical devices that utilize wireless network sensor (WSNs) to calculate patients' physical parameters.Such sensors move information from the patient's devices to the cloud setting through the wireless network. The e-health smart network provides medical personnel with real-time data processing, reduces manual data collection and allows the tracking of

Providing a safer communication in the network improves the network credibility since WSN is often deployed over hostile environments. Isolating the selfish nodes from the routing path is mandate to build a strong network. The node might become irresponsible due to their low energy level, high congestion rate, etc. Categorizing the selfish nodes and normal nodes makes the network more reliable while routing the data packets. Therefore an adaptive trust computation model is proposed here. By computing trust values with control messages and energy levels for the nodes are identified. This removes the selfish nodes from the system and the routes are constructed with the avoidance of irresponsible nodes. Here adaptive trust computation model is proposed with two level node selections. Simulation results are analyzed for determining the efficiency of the proposed scheme.

Providing a safer communication in the network improves the network credibility since WSN is often deployed over hostile environments. Isolating the selfish nodes from the routing path is mandate to build a strong network. The node might become irresponsible due to their low energy level, high congestion rate, etc. Categorizing the selfish nodes and normal nodes makes the network more reliable while routing the data packets. Therefore an adaptive trust computation model is proposed here. By computing trust values with control messages and energy levels for the nodes are identified. This removes the selfish nodes from the system and the routes are constructed with the avoidance of irresponsible nodes. Here adaptive trust computation model is proposed with two level node selections. Simulation results are analyzed for determining the efficiency of the proposed scheme.

The lodgings are quickly developing business in todays condition. The vast majority of the individuals like to eat in the inns inorder to invest their recreation energy in a more joyful manner. So as to make the feasting in a more practical and getting a charge out of way we present to you the most digitized method of the experience that you have ever got previously. Our venture presents to you the practical way by utilizing the augmented simulation of requesting the dishes. Inorder to diminish the time utilization we have utilized the augmented experience with camera. The menu is introduced in the gadget and the gadget will be set on each client table. At the point when the clients pick the ideal menu the menu will be sent to the kitchen. The unit will be set in the client side just as in the kitchen side. The bill can likewise be handled simultaneously. In this manner the ideal request of the client will be set in the new manner in the feasting field.

The scope of Wireless Sensor Networks (WSN) is fields tremendously improved in science, engineering, military, and health. Wireless Sensor Networks (WSN) equips the portable clients having large bandwidths through dynamic range with accessing different methods along with wireless various architecture. In This Proposed article is focus on optimize energy system with high security. Security became very challenging task now days to provide WSN systems. We proposed energy and security of WSN implement using cluster based grid adversarial method. The sensor nodes have a huge range of data to destination. Then the routing method is employed to analyze the shortest course of travel from source to destination. The proposed system will provide energy efficiency and security to the network with comparison with existing routing algorithm. The proposed method is using Network Simulator 2 for design.