Energy Efficiency Optimization of Multi-Hop Relay Networks via a Joint Relay Selection and Power Allocation Strategy

Existing resource allocation models for multi-hop relay networks lack the systematic joint optimization of relay selection and power allocation. Therefore, a multi-hop relay network model based on a joint optimization strategy is proposed, aimed at realizing the energy efficiency optimization of the system through the cooperative optimization of relay selection and power allocation. The proposed model not only takes into account the node transmitting power and communication link but also combines the specified system quality of service requirements. On this basis, the FD-Dink energy efficiency optimization algorithm is proposed. By integrating an enhanced D* algorithm with a forward maximum signal-to-noise ratio (FMSNR) and the Dinkelbach–Lagrange multiplier method, the proposed strategy resolves relay selection and power control problems in a coordinated framework so as to determine the optimal energy efficiency communication link of a multi-hop relay network model. Case studies demonstrate that this joint optimization strategy significantly improves the system energy efficiency of the multi-hop relay network and shows superiority in dynamic path planning and global power allocation, offering significant theoretical and practical implications.

Authors

Institutions

Publication Details

Journal
Electronics
Published
2025-05-15
DOI
https://doi.org/10.3390/electronics14102017
Primary Topic
Cooperative Communication and Network Coding
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Energy Efficiency Optimization of Multi-Hop Relay Networks via a Joint Relay Selection and Power Allocation Strategy

Sheng He, Lin Wan, Dongxu Li, Gang Xu
Electronics
Cooperative Communication and Network Coding
article

Energy Efficiency Optimization of Multi-Hop Relay Networks via a Joint Relay Selection and Power Allocation Strategy

Sheng He, Lin Wan, Dongxu Li, Gang Xu
article en

Abstract

Existing resource allocation models for multi-hop relay networks lack the systematic joint optimization of relay selection and power allocation. Therefore, a multi-hop relay network model based on a joint optimization strategy is proposed, aimed at realizing the energy efficiency optimization of the system through the cooperative optimization of relay selection and power allocation. The proposed model not only takes into account the node transmitting power and communication link but also combines the specified system quality of service requirements. On this basis, the FD-Dink energy efficiency optimization algorithm is proposed. By integrating an enhanced D* algorithm with a forward maximum signal-to-noise ratio (FMSNR) and the Dinkelbach–Lagrange multiplier method, the proposed strategy resolves relay selection and power control problems in a coordinated framework so as to determine the optimal energy efficiency communication link of a multi-hop relay network model. Case studies demonstrate that this joint optimization strategy significantly improves the system energy efficiency of the multi-hop relay network and shows superiority in dynamic path planning and global power allocation, offering significant theoretical and practical implications.

ElectronicsVol. 14(10)
North China Electric Power University (CN)
Openalex Percentile: Top 89%
Cooperative Communication and Network Coding
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Energy Efficiency Optimization of Multi-Hop Relay Networks via a Joint Relay Selection and Power Allocation Strategy — Sheng He, Lin Wan, et al. · Electronics (2025) | TGRS Research Map | TGRS