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A SECURE ENERGY OPTIMIZED MODEL FOR WIRELESS NETWORK PROCESS USING MULTICHANNEL NEURAL PERCEPTRON

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International Research Journal of Engineering and Technology (IRJET)

e-ISSN: 2395-0056

Volume: 11 Issue: 08 | Aug 2024

p-ISSN: 2395-0072

www.irjet.net

A SECURE ENERGY OPTIMIZED MODEL FOR WIRELESS NETWORK PROCESS USING MULTICHANNEL NEURAL PERCEPTRON P Ramya1, Dr. K Venkataramana2, V Sridhar3 1PG Scholar, 2Professor, 3Assistant Professor

Dept. of Computer Science and Engineering, VEMU Institute of Technology, P. Kothakota, Chittoor, Andhra Pradesh, India. 1ramyatheja2001@gmail.com, 2venkatkathi84@gmail.com, 3sreedharv1234@gmail.com ---------------------------------------------------------------------***--------------------------------------------------------------------2. LITERATURE SURVEY Abstract - The rapid-fire increase of mobile data growth and the use of smartphones are creating unknown challenges for wireless service providers to overcome a global bandwidth deficit. As moment’s cellular providers attempt to deliver high quality, low quiescence videotape and multimedia operations for wireless bias, they're limited to a carrier frequency diapason ranging between 700 MHz and2.6 GHz. The total allocated bandwidth for all cellular technologies globally does not surpass 780 MHz where each major wireless provider has roughly 200 MHz across all of the different cellular bands of

In today’s era, people are leading an unhealthy lifestyle due to bad lifestyle choices, lack of physical activity and inadequate relief of chronic stress, which further leads to the development and progression of chronic dise-ases. Thus, the need for healthcare systems and disease management is more than ever. According to the World Health Statistics 2020, the worldwide epidemic of COVID-19 will have an unknown consequence towards a healthier world [1]. WBAN consists of numerous minute, low powered and lightweight sensors having wireless communication capability. These types of sensors are located on the body, which are affixed either to the garments or at the skin or implanted under the skin (biosensors) [2],[5].

Diapason available to them uses MAC protocol. The system works with considering the dynamic updating of the network with data offloading. Data save through cluster heads in case of energy loss. Estimate the shortest routing model every replication to reduce routing outflow. Alert the system when Routing problem occurs.

Wireless Body Area Network (WBAN) evolves as a cost efficient solution due to the miniaturization of sensor devices that revolutionized the healthcare services [3].

Key Words: Bandwidth, Carrier, 5G Cellular Network, MAC, MCNP.

The majority of human deaths were caused due to Non Communicable diseases (NCDs), accounting for 71% (40.3 million) of the overall deaths. In the last 15 years, these diseases have been the key causes of deaths worldwide as symptoms are not acknowledged or experienced in earlier stages by patients. There is need of a ubiquitous and cost effective healthcare system that could diagnose the diseases in their initial stages [4].

1. INTRODUCTION Over the years mobile communication has kept increasing and offers continuous growth on global industries. Various companies have initiated the 5G communication based massive trials. The goal of the enhanced 5G communication systems is to provide effective outcome on content delivery to the consumers. 5G communication is slowly installed in various public places. Due to the rise in mobile devices, the 5G communication system can connect nearby devices using an available network. Often utilizing the wireless connectivety publicly available.

2. PROBLEM STATEMENT Nowadays, mobile communication has kept increasing and offers continuous growth on global industries. A robust routing model is created with 700 dynamic nodes. The optimization method utilized here is focused on extensive investigation of energy and latency. Novel design solution is provides here to develop a system that will manage

The major drawbacks persist with the publicly connected networks are, lack of privacy constraints and security protocols. The evolution of 5G communication network focused on delivering ultra wide band low latency communication. The systems are capable of communicating with critical applications and formulate the type of conversion held between the user and the system. Our approach focuses on three core objectives: maximizing energy efficiency, ensuring robust security, and maintaining high-quality service levels.

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5G network connected devices expected the high quality of signals transmitted from source to destination.

In case of any blockages present in the network, the presented system identifies the issues through

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