@inproceedings{4128912fc4324fb0af97080c21422f74,
title = "Efficient Concurrent Transmission Scheme for Wireless Ad Hoc Networks: A Joint Optimization Approach",
abstract = "In this paper, we focus on the joint optimization of scheduling and power control to achieve effective concurrent transmission. Under constraints, we describe the optimization problem as a scheduling problem based on power control. In order to solve the complexity problem, we have determined the best power control strategy in the large network area. Using the dual-link communication architecture, we decompose the optimization problem into two sub-problems, namely power control and link scheduling. By solving two sub-problems, we have determined the best link scheduling and power control mechanism suitable for the actual network environment. We realize efficient concurrent transmission based on the optimal solution obtained by joint optimization to effectively utilize network resources and improve energy efficiency. The simulation results prove the effectiveness of the scheme. Compared with existing solutions, the joint optimization solution has obvious advantages in terms of network throughput and energy consumption.",
keywords = "Concurrent transmission, Dual-link structure, Energy consumption, Link scheduling, Power control",
author = "Zhigang Feng and Xiaoqin Song and Lei Lei",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 16th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2021 ; Conference date: 25-06-2021 Through 27-06-2021",
year = "2021",
doi = "10.1007/978-3-030-86130-8_44",
language = "English",
isbn = "9783030861292",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "563--574",
editor = "Zhe Liu and Fan Wu and Das, {Sajal K.}",
booktitle = "Wireless Algorithms, Systems, and Applications - 16th International Conference, WASA 2021, Proceedings",
address = "Germany",
}