TY - GEN
T1 - Topology Control Mechanism Of Elastic Network Based On Grey Wolf Optimizer
AU - Liu, Jiaxing
AU - Xiao, Weiwei
AU - Jun, Xue
AU - Yi, Wu
AU - Du, Changhao
AU - Jing, Wang
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - The Russia-Ukraine conflict has demonstrated that urban combat capability will become a core element determining the outcome of local wars. With the intelligent transformation of urban combat systems, their highly reliable, anti-interference, and robust communication networks have become the premise for instant "seamless communication" connecting various equipment platforms on the battlefield. Due to the characteristics of wireless self-organizing networks, such as decentralized networking, multi-hop long-distance transmission, and support for node mobility, they are widely used in the construction of terminal subnets for urban combat systems, enabling significant enhancements in human-computer interaction and collaborative reconnaissance and strike capabilities. This paper proposes an elastic networking topology control mechanism based on the Grey Wolf Optimizer algorithm for the network layer of self-organizing networks, and conducts simulation and comparative analysis. The results indicate that this method enhances the networking flexibility and network lifespan of self-organizing networks, ensuring reliable communication for urban combat.
AB - The Russia-Ukraine conflict has demonstrated that urban combat capability will become a core element determining the outcome of local wars. With the intelligent transformation of urban combat systems, their highly reliable, anti-interference, and robust communication networks have become the premise for instant "seamless communication" connecting various equipment platforms on the battlefield. Due to the characteristics of wireless self-organizing networks, such as decentralized networking, multi-hop long-distance transmission, and support for node mobility, they are widely used in the construction of terminal subnets for urban combat systems, enabling significant enhancements in human-computer interaction and collaborative reconnaissance and strike capabilities. This paper proposes an elastic networking topology control mechanism based on the Grey Wolf Optimizer algorithm for the network layer of self-organizing networks, and conducts simulation and comparative analysis. The results indicate that this method enhances the networking flexibility and network lifespan of self-organizing networks, ensuring reliable communication for urban combat.
KW - Ad Hoc Network
KW - Clustering Algorithm
KW - Elastic Networking
UR - https://www.scopus.com/pages/publications/85217751182
U2 - 10.1109/ISCTech63666.2024.10845477
DO - 10.1109/ISCTech63666.2024.10845477
M3 - Conference contribution
AN - SCOPUS:85217751182
T3 - 2024 12th International Conference on Information Systems and Computing Technology, ISCTech 2024
BT - 2024 12th International Conference on Information Systems and Computing Technology, ISCTech 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th International Conference on Information Systems and Computing Technology, ISCTech 2024
Y2 - 8 November 2024 through 11 November 2024
ER -