Application Wireless of network



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(Chen, 2022) There is a Machine Learning-enabled wireless communication network. This structure uses machine learning to improve wireless communication networks. Machine learning improves wireless communication channels, interference management, dynamic spectrum access, and network resource allocation. This method improves QoS, capacity, and user experience in wireless communication networks. Machine learning allows network adaptation while retaining performance.

(Gao, 2019) The linked research discusses the smart industrial connection of highly dynamic wireless sensor networks. The architecture facilitates wireless sensor node connection in dynamic production. This solution fixes connectivity difficulties caused by sensor and equipment movement. The architecture improves network speed, latency, and resource utilization. This technology allows continual monitoring, control, and decision-making, improving the smart factory's efficiency and production.

(Jadhav, 2021) The approach is Wireless Mesh Security. Make wireless mesh networks more secure and private. Nodes in wireless mesh networks self-configure. Its decentralized structure makes privacy and security harder to secure. Wireless mesh network security issues are the focus. This knowledge can help researchers create security and privacy methods. Designing a secure wireless mesh network architecture that protects sensitive user data is the end goal.

(Trusova, 2021) Industrial wireless networks increase factory communication. To stay linked in factories, refineries, and power plants, these networks use cutting-edge wireless technology. Industrial wireless networks communicate securely using strong protocols, powerful routing algorithms, and data encryption. These networks monitor, regulate, and optimize industrial processes in real-time, enhancing efficiency, safety, and productivity. Industrial wireless networks facilitate data flow and communication in complex industrial contexts

Application of Wireless Network in Healthcare

(Khalilian, 2022) WBANs make real-time healthcare apps easier to utilize. WBANs connect small devices worn or implanted in people. These devices track vital signs, physiological factors, and other health data using sensors. Wireless data is delivered to a central monitoring system for instant medical analysis. WBANs provide remote patient monitoring, early illness detection, and prompt medical intervention by seamlessly connecting body-worn devices to healthcare infrastructure. WBANs enable patient monitoring and individualized therapy to improve healthcare quality.

(Al Rasyid, 2014) This study examines slotted and unslotted Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) protocols for Wireless Sensor Networks (WSNs) in EHR systems. WSN sensors wirelessly communicate environmental data. CSMA/CA allows nodes to feel the channel before delivering data, enhancing shared wireless medium utilization. Slotted and unslotted CSMA/CA for E-Healthcare applications are tested for dependability, latency, and energy economy.

Slotted and unslotted CSMA/CA protocols are compared in a Wireless Sensor Network-based E-Healthcare system. E-Healthcare protocols' dependability, latency, and energy efficiency are assessed. E-Healthcare systems will benefit from using the finest real-time data transfer protocol. The findings improve wireless healthcare monitoring protocol design.

Application of Wireless network in Telemedicine

(Shivakumar, 2014) A wireless sensor network and telemedicine-based vital sign monitor are being developed to revolutionize healthcare by remotely monitoring patients' vital signs. Wireless sensor networks liberate patients from connected connections, providing them with more mobility and simplicity. The patient's heart rate, blood pressure, and temperature are electronically sent to a central monitoring system. Telemedicine allows clinicians to remotely access and analyze data, speeding up treatment choices and reducing patient visits. This arrangement uses cutting-edge techniques to optimize therapy, stimulate early detection, and speed procedures.

(Aboalseoud, 2019) WSNs and telemedicine developed the vital sign monitor. This architecture allows medical workers to remotely monitor vital signs using wireless sensors. WSN sensors detect blood oxygen, heart rate, and temperature in real-time. Telemedicine physicians can access these sensors' information wirelessly from a central monitoring system. Telemedicine and wireless sensor networks (WSNs) make real-time patient monitoring and diagnosis simpler. Remote monitoring and rapid response are intended to enhance patient care and healthcare outcomes.