background: The Sensor Nodes (SNs) are deployed in an environment where human beings are not able to perform the tasks. Wireless Sensor Network (WSN) is used for applications in security, military surveillance, habitat monitoring, agriculture, etc. All these applications require SNs to have good battery backup so that they can perform for a long duration. Recent research shows that agent-based strategies increase the efficiency of WSN in comparison to conventional WSN in which every SN is static. During the current pandemic of Covid-19, various public resources, such as train, bus, hotels, etc., were used for isolating the Covid-19 patients. In a similar way, the ship helps to keep humans away from each other. method: In the current work, WSN has been deployed on a ship to monitor the health of Covid-19 patients. A 109 m long ship with 12.8 m altitude and 23 m width along with 6 decks has been considered. The SNs have been deployed on different floors of the modern ship. Six decks have been considered, and on each deck, 50 SNs have been deployed. A Drone-driven Mobile Agent (DMA) routing strategy has been proposed. DMA is a software program that moves across the network around the SNs and collects information from wearable sensors, such as body temperature, SpO2, etc. DMA is capable of aggregating and delivering the data packets to the base station for further processing. DMA performs information processing, local processing, and collaborative signaling. DMA can move randomly or in fixed locations. result: Results have been compared with multi-sink and mobile sink strategies, which reveal that the proposed and simulated technique enhances the life span and throughput of the network to monitor Covid-19 patients effectively. conclusion: Results revealed the proposed technique to enhance the lifetime (DMA-fixed: 11633 rounds and DMA-random: 11740 rounds) and throughput (DMA-fixed: 148788 packets sent and DMA-random: 150008 packets sent) of the network.
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Background: Recently, the construction of a smart city has accelerated due to developing technologies such as 5G and the Internet of things (IoT). The IoT is gaining access day by day in the area of the remote monitoring system. Along with smart city concepts, intelligent patient monitoring systems and intelligent health are being developed. Combining the two, here, patients have a nurse navigation system and a doctor emergency call system. IoT improves the effectiveness of medical equipment by providing real-time monitoring of patient health, in which sensors collect data from patients with less human errors. In IoT, the patient's parameters get transmitted through medical devices via a gateway to the centralized system, where it is stored and analyzed. Objective: In this paper, we have proposed an intelligent patient monitoring system for monitoring the patients' health condition automatically through sensors-based connected links. The system is more intelligent that it can be able to detect the critical condition of a patient by processing sensor data and instantly provides a notification to doctors/nurses as well as hospital in-charge personnel. The doctors and nurses get benefited from this system by observing their corresponding patients remotely without visiting to the particular seat of the patient. Methods: An idea has been proposed to use the centralized processing of IoT devices along with the rigid security and privacy of the classical blockchain to overcome the computation expense challenge with blockchain and the security and privacy threat of the IoT systems. We are developing a system in the field of medical care to enhance the functioning of Medicare systems and provide patients with more ease and hassle-free procedures of the Medicare system, i.e., hospitals, laboratories, dispensaries, chemists, druggists, etc. Results: This model helps in getting rid of this issue faced by all of us. There is a separate blockchain of different verified medical stores linked within the networks, which will be managed by the central hub based on their ratings, reviews, and stock availability. Conclusion: The exponential expansion of blockchain technology in healthcare is also astonishing and has a tremendous impact on the industry. By assessing prior activities, the idea is proposed to use a centralized database system with more privacy and security to gap between the healthcare industry and blockchain technologies has been addressed in this paper.
Assistive devices and technology reduce a person's dependency on others while also improving the overall quality. Wheelchairs, visual aids, hearing aids, and specialist computer software and hardware systems help the elderly and disabled improve their hearing, vision, mobility, and communication. Assistive technology, for example, provides enormous opportunity to improve the effectiveness of both health and social care delivery. 'Low-tech' products like memory aides and digital calendars, as well as 'high-tech' items like health tracking gadgets and wearables, are examples of assistive technologies. Assistive devices can be used to improve quality of life, improve lifestyle, and boost independence, depending on the type of device. Patient and caregiver acceptance of technology is influenced by a variety of factors, including perceived skills and competencies in utilizing the device, expectancies, trust, and reliability.
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