TY - JOUR
T1 - Optimizing Traffic Management in Airborne Power Line Communication Networks
T2 - A Credit-Based Shaping Approach Using Network Calculus
AU - Yan, Ruowen
AU - Li, Qiao
AU - Xiong, Huagang
N1 - Publisher Copyright:
© 2004-2012 IEEE.
PY - 2025
Y1 - 2025
N2 - As the aviation industry progresses towards More Electric Aircraft (MEA), the demand for robust and efficient data communication systems intensifies. Traditional fieldbus systems are burdened by high installation costs and substantial weight due to extensive cabling requirements. The Power Line Communication (PLC) technology presents a promising alternative; however, its adaptation to the stringent real-time demands of airborne environments poses significant challenges. To address this, this paper introduces a novel Credit-Based Shaper with Channel Contention (CBSCC) mechanism designed to optimize traffic management in airborne PLC networks. This mechanism operates at the Medium Access Control (MAC) layer of the HomePlug AV 2 protocol, employing a dynamic configuration approach informed by Network Calculus (NC). This approach utilizes End-to-End Delay (E2ED) requirements of data flows and network configuration details to calculate the parameters for the CBSCC traffic shaper. Comprehensive simulations conducted with OMNeT++ demonstrate the efficacy of CBSCC, demonstrating marked improvements in E2ED satisfaction for all data frames, reduced average access delays, and enhanced fairness across different priority levels compared to the HomePlug AV2 protocol and previous traffic management strategies. The findings confirm that the CBSCC mechanism substantially alleviates the starvation of lower-priority traffic, boosts network efficiency, and ensures robust real-time guarantees essential for the safety and reliability of airborne communication systems. This research represents a substantial advancement over existing solutions, aligning with the evolving needs of MEA implementations.
AB - As the aviation industry progresses towards More Electric Aircraft (MEA), the demand for robust and efficient data communication systems intensifies. Traditional fieldbus systems are burdened by high installation costs and substantial weight due to extensive cabling requirements. The Power Line Communication (PLC) technology presents a promising alternative; however, its adaptation to the stringent real-time demands of airborne environments poses significant challenges. To address this, this paper introduces a novel Credit-Based Shaper with Channel Contention (CBSCC) mechanism designed to optimize traffic management in airborne PLC networks. This mechanism operates at the Medium Access Control (MAC) layer of the HomePlug AV 2 protocol, employing a dynamic configuration approach informed by Network Calculus (NC). This approach utilizes End-to-End Delay (E2ED) requirements of data flows and network configuration details to calculate the parameters for the CBSCC traffic shaper. Comprehensive simulations conducted with OMNeT++ demonstrate the efficacy of CBSCC, demonstrating marked improvements in E2ED satisfaction for all data frames, reduced average access delays, and enhanced fairness across different priority levels compared to the HomePlug AV2 protocol and previous traffic management strategies. The findings confirm that the CBSCC mechanism substantially alleviates the starvation of lower-priority traffic, boosts network efficiency, and ensures robust real-time guarantees essential for the safety and reliability of airborne communication systems. This research represents a substantial advancement over existing solutions, aligning with the evolving needs of MEA implementations.
KW - Airborne communication systems
KW - credit-based shaper
KW - network calculus
KW - network fairness
KW - power line communication
KW - traffic shaping
UR - https://www.scopus.com/pages/publications/85215591884
U2 - 10.1109/TNSM.2025.3529871
DO - 10.1109/TNSM.2025.3529871
M3 - 文章
AN - SCOPUS:85215591884
SN - 1932-4537
VL - 22
SP - 1437
EP - 1449
JO - IEEE Transactions on Network and Service Management
JF - IEEE Transactions on Network and Service Management
IS - 2
ER -