Automatic Control on Transmission Power in Wireless Networking

被引:0
|
作者
Zhang, Xue [1 ]
Gong, Haigang [1 ]
Liu, Ming [1 ]
机构
[1] Univ Elect Sci & Technol China, Sch Comp Sci & Engn, Chengdu 611731, Peoples R China
关键词
Automatic control; transmission power; wireless networking; TOPOLOGY-CONTROL;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The automatic control theory plays an important role in modern industries. With the rapid development of the Internet and a variety of wireless networks, its application field has been becoming wider and wider. However, in the design of networking protocols, instead of utilizing the classical control theory, most software engineers favor open-loop control. In reality, closed-loop control may well serve as a simple and efficient part in some cases. In this paper, we try to apply the classical control theory to the adjustment on the transmission power in wireless networking. As a result, we propose APC (Automatic Power Control), a distributed power control algorithm that can be used in conjunction with any routing protocols as long as the routing table of each node provides enough knowledge of local network topology. The basic idea of APC is to adjust the transmission power for each wireless node through an improved version of the classical PID (Proportion-Integral-Differential) control. The network topology derived under APC is also fed back to the routing table that is used as its input. Both theoretical analysis and simulation study show that APC is an effective application of the classical control theory in wireless networking.
引用
收藏
页码:35 / 39
页数:5
相关论文
共 50 条
  • [41] Automatic control of efficiency and linearity in power amplifiers for low-power wireless communications
    Yang, KH
    East, JR
    Haddad, GI
    1998 TOPICAL MEETING ON SILICON MONOLITHIC INTEGRATED CIRCUITS IN RF SYSTEMS: DIGEST OF PAPERS, 1998, : 113 - 118
  • [42] Wireless Networking for Low Power Sensor Networks
    Hodzic, Migdat I.
    Muhic, Indira
    ADVANCED TECHNOLOGIES, SYSTEMS, AND APPLICATIONS, 2017, 3 : 217 - 230
  • [43] Wireless Power Transfer With Automatic Feedback Control of Load Resistance Transformation
    Ahn, Dukju
    Kim, Seongmin
    Moon, Jungick
    Cho, In-Kui
    IEEE TRANSACTIONS ON POWER ELECTRONICS, 2016, 31 (11) : 7876 - 7886
  • [44] Research on Networking Technology in the Power Wireless Network
    Miao, Wei-wei
    Jiang, Cheng-ling
    Guo, Bo
    Li, Wei
    Dai, Yong
    Jia, Ping
    Gu, Bin
    Wu, Hai-yang
    Yang, Yu-qing
    Liu, Rui
    Zhao, Wen-yan
    Zhang, Xin-yi
    INTERNATIONAL CONFERENCE ON MATERIALS, MANUFACTURING AND MECHANICAL ENGINEERING (MMME 2016), 2016, : 291 - 295
  • [45] Power Remote Monitoring and Control Platform Development Using MiWi Wireless Networking Protocol
    Hung, Chin-Pao
    Chang, Kai-Chih
    Lai, You-Cheng
    Shieh, Fu-Tsai
    2014 INTERNATIONAL SYMPOSIUM ON COMPUTER, CONSUMER AND CONTROL (IS3C 2014), 2014, : 820 - 823
  • [46] Power-on downshift control for clutch-to-clutch automatic transmission
    State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing
    100084, China
    不详
    100081, China
    Jixie Gongcheng Xuebao, 22 (66-72):
  • [47] Automatic starting control of tractor with a novel power-shift transmission
    Li, Baogang
    Sun, Dongye
    Hu, Minghui
    Liu, Junlong
    MECHANISM AND MACHINE THEORY, 2019, 131 : 75 - 91
  • [48] Hybrid Control of Channel Selection and Transmission Power for Low Power Wireless Sensor Network
    Hung, Chung-Wen
    Lee, Tzu-Hui
    PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS, AND SYSTEMS, ICCCAS 2023, 2024, 1193 : 27 - 38
  • [49] Joint Power Control and Caching for Transmission Delay Minimization in Wireless HetNets
    Malak, Derya
    Mutlu, Faruk Volkan
    Zhang, Jinkun
    Yeh, Edmund M.
    IEEE-ACM TRANSACTIONS ON NETWORKING, 2024, 32 (02) : 1477 - 1492
  • [50] Transmission power control of wireless sensor networks based on optimal connectivity
    Han, Yefei
    Bai, Guangwei
    Zhang, Gongxuan
    COMPUTERS & ELECTRICAL ENGINEERING, 2018, 70 : 844 - 852