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Magnetic Induction Communication in Extreme Environments:Principles,Technologies,and Challenges

China Communications 2025年第1期22卷 256-264页

作者： Jiang Tao Zhang Yixin Liu Guanghua Research Center of 6G Mobile Communications School of Cyber Science and EngineeringHuazhong University of Science and TechnologyWuhan 430074China College of Information and Communication National University of Defense TechnologyWuhan 430030China

Wireless communications in extreme environments,such as underwater and underground,is an essential technology for interconnecting various devices and enables data transmission and *** wireless technologies using electromagnetic(EM)waves face many known problems,such as high path loss,unpredictable multi-path fading,and large antenna size in the lossy *** this article,the magnetic induction(MI)based physical layer communication is introduced as a promising solution for wireless transmissions in extreme ***,the fundamentals of the MI-based communications are ***,with the goal of establishing reliable and low-power links between small-size devices,we review several key physical layer technologies for MI-based communications,including the MIbased signal modulations,magnetic beamforming,and relay transmissions,and summarize their state-of-theart research ***,the related open issues and challenges in each area are analyzed and presented for future investigations.

关键词： beamforming magnetic induction communications relay transmission signal modulation

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Research on optimal intelligent routing algorithm for IoV with machine learning and smart contract

引用

Digital Communications and Networks 2023年第1期9卷 47-55页

作者： Baofeng Ji Mingkun Zhang Ling Xing Xiaoli Li Chunguo Li Congzheng Han Hong Wen Henan University of Science and Technology College of Information EngineeringLuoyang471000China The Institute of Atmospheric Physics Chinese Academy of Sciences(LAGEO)Beijing100029China Longmen Laboratory Luoyang471000China Chinese Academy of Agricultural Mechanization Sciences Beijing100000China University of Bristol BristolBS00UK University of Electronic Science and Technology of China Chengdu610000China

The huge increase in the communication network rate has made the application fields and scenarios for vehicular ad hoc networks more abundant and diversified and proposed more requirements for the efficiency and quality of data *** improve the limited communication distance and poor communication quality of the Internet of Vehicles(IoV),an optimal intelligent routing algorithm is proposed in this *** multiweight decision algorithm with the greedy perimeter stateless routing protocol,designed and evaluated standardized function for link *** additive weighting is used to optimize link stability and distance to improve the packet delivery rate of the *** blockchain system is used as the storage structure for relay data,and the smart contract incentive algorithm based on machine learning is used to encourage relay vehicles to provide more communication bandwidth for data packet *** proposed scheme is simulated and analyzed under different scenarios and different *** experimental results demonstrate that the proposed scheme can effectively reduce the packet loss rate and improve system performance.

关键词： IoV Machine learning Smart contract Routing algorithm GPSR relay transmission

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