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Jianzhou Zhou

dblp:385/2457 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Vehicular, aerial and satellite networks · 39% Wireless networking · 30% Physical-layer communications · 30%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications › cooperative communication
cooperative transmission
0.812024
MAC Optimization Protocol for Cooperative UAV Based on Dual Perception of Energy Consumption and Channel Gain · IEEE Trans. Mob. Comput. 2024
Vehicular, aerial and satellite networks › aerial networks
flying ad-hoc networks
0.812024
MAC Optimization Protocol for Cooperative UAV Based on Dual Perception of Energy Consumption and Channel Gain · IEEE Trans. Mob. Comput. 2024
Wireless networking
relay selection
0.812024
MAC Optimization Protocol for Cooperative UAV Based on Dual Perception of Energy Consumption and Channel Gain · IEEE Trans. Mob. Comput. 2024
Vehicular, aerial and satellite networks › aerial networks
UAV networks
0.212024
MAC Optimization Protocol for Cooperative UAV Based on Dual Perception of Energy Consumption and Channel Gain · IEEE Trans. Mob. Comput. 2024

Methods — techniques the papers use, named apart from their topics

energy-aware relay selection · 0.8channel propagation model · 0.8
YearPublicationVenuePosition
2024 MAC Optimization Protocol for Cooperative UAV Based on Dual Perception of Energy Consumption and Channel Gain
abstract
FANET (Fly-Adhoc-Network) does not rely on pre-built infrastructure, and can form a temporary network through wireless links anytime and anywhere, which has been widely used in emergency communication and disaster relief. In order to solve the problem of signal transmission fading caused by heavy fog, heavy smoke and other harsh environments, and data packet transmission failure caused by high speed movement of unmanned aerial vehicle (UAV), a cooperative transmission mode is adopted to select a relay at the data link layer for packet forwarding, which effectively improves the network communication performance. Aiming at the problem of limited communication of UAV swarm in harsh environment, a cooperative medium access control protocol named energy consumption and channel gain cooperative medium access control protocol (EC-CMAC) for FANET is proposed. The protocol estimate the transmit power according to the channel propagation model, and further propose a relay selection strategy according to the estimate transmit power, the residual energy of the node, the direction and position of the node, and adaptively selecting the transmission mode. During cooperative transmission, it selected one-hop neighbors to forward the message, and extended the network lifetime by optimizing the energy consumption of the UAVs. The protocol is verified both statically and dynamically in MATLAB environment. The evaluation results of end-to-end delay, network throughput, network lifetime and packet transmission ratio testify that EC-CMAC can achieve longer network lifetime and higher packet delivery rate with little delay and throughput loss in harsh transmission environment and high speed movement of UAVs.
Jiehong Wu, Jianzhou Zhou
IEEE Trans. Mob. Comput.2