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Providing a sustainable energy efficient network using network optimization technique to maximize the energy efficiency of the wireless network, by connecting to smart grids and renewable energies

عنوان مقاله: Providing a sustainable energy efficient network using network optimization technique to maximize the energy efficiency of the wireless network, by connecting to smart grids and renewable energies
شناسه ملی مقاله: NCEEM12_014
منتشر شده در دوازدهمین کنفرانس ملی مهندسی برق مجلسی در سال 1402
مشخصات نویسندگان مقاله:

Mohammadreza mohammadiyan asiabar - Master's degree, Islamic Azad University, Karaj Branch, Karaj, Iran.
Jabber koochaki - Master's degree, Islamic Azad University, Karaj Branch, Karaj, Iran

خلاصه مقاله:
Technological advancements have made intelligent monitoring devices such as integrated circuits and wireless communications smaller, lighter, and more energy-efficient. When combined with WBAN (Wireless Body Area Network), these devices can be connected seamlessly with Smart Grid and Renewable Energy Systems. Devices of this type are compact and include a power supply, resulting in limited power systems. The body’s sensors are small, and the battery cannot hold for a long time;hence, better power management strategies are required. In this paper, Energy Efficient Sustainable Network Using Network Optimization Technique (EES NOT) is proposed to maximize the energy efficiency of the WBAN. The adaptive scheduling protocol for energy efficiency (ASPEE) is integrated with EES-NOT to enhance the network’s reliability and Quality of Service (QoS). Furthermore, a secured routing protocol for energy efficiency (SRPEE) reduces network congestion and provides optimal route selection. The simulation results show that the suggested EES-NOT model enhances the throughput, network lifetime, transmission overhead, latency, and transmission rate with an achievement of ۹۶.۳% compared to other existing approaches

کلمات کلیدی:
Energy, Efficient, Wireless, Body area network, Network, Optimization, Routing protocol, Scheduling, Smart grid, Renewable energy systems

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1824602/