Enhancing Next-Generation Wireless Networks Using Preemptive Energy Conservation Technique

被引:0
|
作者
Selvaraj, Jagadeesh [1 ]
Nakeeb, Noor Alleema [1 ]
Cho, Jaehyuk [2 ]
Easwaramoorthy, Sathishkumar Veerappampalayam [3 ]
机构
[1] Vel Tech Rangarajan Dr Sagunthala R&D Inst Sci & T, Dept Comp Sci & Engn, Chennai 600062, Tamil Nadu, India
[2] Jeonbuk Natl Univ, Dept Software Engn, Div Elect & Informat Engn, Jeonju Si 54896, South Korea
[3] Sunway Univ, Sch Engn & Technol, Jalan Univ, Bandar Sunway 47500, Selangor Darul, Malaysia
来源
IEEE ACCESS | 2024年 / 12卷
关键词
Wireless sensor networks; Wireless networks; Optimization; Energy efficiency; Environmental management; Energy consumption; Energy conservation; Artificial intelligence; Quality of service; Delays; Information exchange; energy conservation; preemptive approach; information exchange; Na & iuml; ve Bayes prediction; synchronized links; wireless network; SENSOR NETWORKS; SCHEME;
D O I
10.1109/ACCESS.2024.3496485
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Modern wireless networks provide state-of-the-art services to numerous users by utilizing ultrahigh frequency lines and machine-type interaction. Incorporating ultrahigh frequency lines and machine-type interactions to delivermultiple user services is driving the need for creative energy-saving strategies in wireless networks, which are advancing rapidly. The Preemptive Energy Conservation Technique (PECT) is a novel energy preservation method developed for next-generation wireless networks. This method meets each device's unique requirements while accumulating and dispersing energy in an eco-friendly way. The method's core tenet is that it finds energy slot intervals intended for distribution and portable device operating, thus maximizing support for data exchange. The next step is to initiate the conservation operation by utilizing the discovered slot intervals and the projected device demands. Using Na & iuml;ve Bayes prediction intelligence, PECT finds energy slot intervals specifically for portable device operation and dissemination and then starts conservation actions based on these predictions. This proactive method guarantees sufficient energy allocation for efficient information exchange by improving the speed of data sharing through synchronized wireless networks. Energy usage, delay, communication loss, and the lowest possible conservation ratio are some metrics used to assess the efficacy of the suggested PECT.
引用
收藏
页码:169328 / 169343
页数:16
相关论文
共 50 条
  • [1] Next-generation wireless networks
    Li, VOK
    APOC 2002: ASIA-PACIFIC OPTICAL AND WIRELESS COMMUNICATIONS; WIRELESS AND MOBILE COMMUNICATIONS II, 2002, 4911 : 150 - 153
  • [2] Optimizing next-generation wireless networks
    Diamond, S
    COMMUNICATIONS NEWS, 1997, 34 (10): : 34 - 35
  • [3] Next-Generation Softwarized Wireless Networks
    Ferrus, Ramon
    Marojevic, Vuk
    Goratti, Leonardo
    IEEE VEHICULAR TECHNOLOGY MAGAZINE, 2018, 13 (04): : 78 - 79
  • [4] Radios for next-generation wireless networks
    Rofougaran, AR
    Rofougaran, M
    Behzad, A
    IEEE MICROWAVE MAGAZINE, 2005, 6 (01) : 38 - 43
  • [5] Energy Consumption of Next-Generation Optical-Wireless Converged Networks
    Ranaweera, Chathurika
    Lim, Christina
    Wong, Elaine
    Nirmalathas, Ampalavanapillai
    Jayasundara, Chamil
    2012 ASIA COMMUNICATIONS AND PHOTONICS CONFERENCE (ACP), 2012,
  • [6] Localization Threats in Next-Generation Wireless Networks
    Goztepe, Caner
    Buyukcorak, Saliha
    Kurt, Gunes Karabulut
    Yanikomeroglu, Halim
    IEEE COMMUNICATIONS MAGAZINE, 2021, 59 (09) : 51 - 57
  • [7] Management of next-generation wireless networks and services
    Ulema, M
    Kozbe, B
    IEEE COMMUNICATIONS MAGAZINE, 2003, 41 (02) : 86 - 87
  • [8] Security in Next-Generation Wireless Sensor Networks
    Gao, Li-jie
    Chen, Zhi-gang
    PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND SERVICE SYSTEM (CSSS), 2014, 109
  • [9] Enhancing Resilience in Next-Generation Wireless Networks Through Deep Learning for Security Enhancement
    Ashary, Ehab Bahaudien
    Maghrabi, Louai A.
    Jambi, Sahar
    Ashari, Rehab Bahaudien
    Fayoumi, Ayman G.
    Al-Ghamdi, Abdullah Al-Malaise
    Ragab, Mahmoud
    IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2024, 70 (03) : 6284 - 6292
  • [10] Architecture for next-generation reconfigurable wireless networks using cognitive radio
    Xu, Fangmin
    Zhang, Luyong
    Zhou, Zheng
    Ye, Yabin
    2008 3RD INTERNATIONAL CONFERENCE ON COGNITIVE RADIO ORIENTED WIRELESS NETWORKS AND COMMUNICATIONS, 2008, : 461 - +