CS-MAC: A concurrent scheduling MAC protocol for underwater acoustic networks

Yi Shang; Xiujuan Du

doi:10.1117/12.2639195

15 July 2022 CS-MAC: A concurrent scheduling MAC protocol for underwater acoustic networks

Yi Shang, Xiujuan Du

Proceedings Volume 12258, International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022); 122581R (2022) https://doi.org/10.1117/12.2639195
Event: International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022), 2022, Qingdao, China

Abstract

Aiming at the characteristics of underwater acoustic networks such as long delay, low channel utilization and low throughput, as well as the existence of temporal-spatial uncertainties and hidden terminals problem, this paper proposes a concurrent scheduling MAC protocol. The protocol exchanges information such as ID, location, level of the receiving and sending nodes, and the scheduling time of data reception by sending handshake control frames. so as to realize the concurrent transmission of data from multiple sending nodes to one receiving node, which not only avoids data collision to a great extent, but also effectively solves the problems of temporal-spatial uncertainties, hidden terminals and and high energy consumption and other problems in Underwater Acoustic Networks, and improve the fairness of node channel access. Network performance such as channel utilization and network throughput. The simulation results shows that the network throughput of CS-MAC protocol is better than ALOHA, R-MAC, and slotted- FAMA, etc. CS-MAC protocol outperforms ALOHA and LSPB-MAC protocols in terms of packet delivery rate and end-to-end delay.

Citation Download Citation

Yi Shang and Xiujuan Du "CS-MAC: A concurrent scheduling MAC protocol for underwater acoustic networks", Proc. SPIE 12258, International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022), 122581R (15 July 2022); https://doi.org/10.1117/12.2639195

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KEYWORDS

Acoustics

Sensors

Signal detection

Data communications

Computer simulations

Data processing

Optical communications

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