Research On Link Scheduling Strategy In Underwater Wireless Optical Networks

The ocean is closely related to the destiny of mankind,and exploring the ocean is of great significance.Underwater wireless sensor networks play an important role in ocean exploration.In recent years,underwater wireless optical communication technology has attracted more and more research enthusiasm.With its unique advantages of high bandwidth,low latency,and low cost,it is enough to realize real-time transmission of underwater high-capacity data,and has broad application prospects.However,most of the current researches on underwater wireless optical communication are aimed at the physical layer.The link scheduling problem is a classic problem in wireless networks.Research on this problem is of great significance for improving channel utilization and achieving higher network capacity.Due to the differences in environment and communication technology,the existing link scheduling algorithm cannot be directly applied to underwater wireless optical networks.Therefore,this paper is devoted to the research on the maximum link scheduling problem in underwater wireless optical networks.The main work of this article is as follows:(1)Based on signal to interference plus noise ratio(SINR),Beer-Lambert's law and the characteristic of directional transmission,an interference model is established;this paper proposes a maximum link scheduling algorithm in underwater wireless optical networks named MLS-UOWN and theoretically analyzes the correctness and performance stability.This paper demonstrates the practical significance of the algorithm to improve the wireless channel utilization rate through simulation experiments,and further studies the effects of link density,FOV of transmitting nodes,SINR threshold,and attenuation coefficient of water on the algorithm performance.(2)This paper explores the attenuation of optical signals under water through real experiments and verify Beer-Lambert's law;an empirical model of underwater optical signal attenuation is proposed based on the measured data;then this paper proposes the maximum link scheduling algorithm named Empirically-based MLS under the empirical model;simulation results show that the algorithm can significantly increase the network capacity under the empirical model;further more,the performance difference with the MLS-UOWN algorithm and the effect of parameter changes on the algorithm performance are studied.