DCN-MAC: A Dynamic Channel Negotiation MAC Mechanism for Underwater Acoustic Sensor Networks

Su, Yishan; Dong, Lijie; Yang, Qiuling

doi:10.3390/s20020406

Cited by 11 publications

(5 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Considering the joint power allocation and antenna selection (J-PA-AS) problem of the downlink NOMA network cluster, there are studies on antenna selection for each user cluster and different transmitted power [ 21 ]. A power allocation strategy that maximizes the system sum rate under the multi-user QoS guarantee was proposed [ 22 , 23 , 24 ]. However, the multiple-beam NOMA still lacks detailed investigation.…”

Section: Related Workmentioning

confidence: 99%

Research on Power Allocation in Multiple-Beam Space Division Access Based on NOMA for Underwater Optical Communication

Mohsan

Chen

et al. 2023

Sensors

View full text Add to dashboard Cite

To meet the transmission requirements of different users in a multiple-beam access system for underwater optical communication (UWOC), this paper proposes a novel multiple-beam space division multiple access (MB-SDMA) system by utilizing a directional radiation communication beam of the hemispherical LED arrays. The system’s access users in the different beams are divided into two categories: the users with a single beam and the users with multiple beams. We also propose a power allocation algorithm that guarantees the quality of service (QoS) for single beam and multiple beam access, especially the QoS for edge users, and fairness for all users. An optimization model of power distribution under the constraints of specific light-emitting diode (LED) emission power is established for two scenarios, which ensure the user QoS for edge users and the max–min fairness for fair users. Using the Karush–Kuhn–Tucker (KKT) condition and the bisection method, we obtain the optimal power allocation expression for the two types of users in the optimization model. Through simulation, we verify that the proposed user classification and power allocation method can ensure the fairness of fair users on the premise of ensuring the QoS of edge users. At the same time, we know that the number of users will affect the improvement of the minimum rate, and the throughput of the non-orthogonal multiple access (NOMA) system is greatly improved compared with the traditional orthogonal multiple access (OMA) systems.

show abstract

Section: Related Workmentioning

confidence: 99%

Research on Power Allocation in Multiple-Beam Space Division Access Based on NOMA for Underwater Optical Communication

Mohsan

Chen

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

“…This protocol schedules packet transmission times based on propagation delay information and the number of packets waiting in each node's queue. Su et al [26] proposed a dynamic channel negotiation MAC mechanism (DCN-MAC) for underwater acoustic sensor networks that accepts packets in the queue form initiated by receivers. This mechanism treats multinode conflict problems as Nash equilibrium equations in noncooperative games with incomplete information.…”

Section: Related Workmentioning

confidence: 99%

“…where U is the transfer rate of the downward process of the number of I+ packets in the CH, as shown in (24). K is the transfer rate of the upward process of the number of I+ packets in the CH, as shown in (25), and the boundary conditions are shown in (26):…”

Section: Build Waiting Time Model Based On the Random Fluids Modelmentioning

confidence: 99%

High Value of Information Guided Data Enhancement for Heterogeneous Underwater Wireless Sensor Networks

Li,

Bai,

Chen

et al. 2023

JMSE

View full text Add to dashboard Cite

Ensuring the freshness of high Value of Information (VoI) data has a significant practice meaning for marine observations and emergencies. The traditional forward method with an auv-aid is used to ensure the freshness of high VoI data. However, the methods suffer from two issues: an insufficient high VoI data throughput and random forwarding for cluster heads (CHs). The AUV (Autonomous Underwater Vehicle) with limited energy cannot meet the demand for the random generation of high VoI data. Low VoI data packets compete with high VoI data packets for channels, resulting in an insufficient high VoI data throughput and a low freshness. To address the above issues, we propose the Data Access Channel Scheme based on High Value of Information (DACS-HVOI), which is suitable for prioritizing the transmission packets with a high VoI. First, according to the level of VoI, the packets are divided into K classes, and the packets that are collected and forwarded by the AUV are defined as the highest K+1 class. Second, based on prior knowledge in the network, a Markov chain algorithm-based method is employed to predict which nodes should preferentially use the channel, to avoid conflict between a low and high VoI. Third, based on the stochastic fluid theory, a multilevel queueing system for CHs are constructed to avoid random forwarding. Last, compared with state-of-art protocols, experimental simulation shows that the proposed scheme has a low latency and high network throughput, while improving the throughput of high-VoI packets and ensuring the priority transmission of high-VoI packets.

show abstract

“…The requests sent by the nodes that are far from the receiver may be processed later than the requests transmitted by the nodes that are close to the receiving node. This implies unfair channel access and calls for development of specialized protocols for UASN resolving spatial-temporal uncertainty [11].…”

Section: Unfairness Of Network Accessmentioning

confidence: 99%

“…However, as it will be shown in this paper, the collision avoidance causes sharing network bandwidth among the stations inequitably as a side effect of maximizing the total throughput. The predictive p-persistent CSMA is thus the example of a MAC protocol that sacrifices fairness for better efficiency beside the IEEE 802.11 [6,7], or Dynamic Channel Negotiation MAC (DCN-MAC) for Underwater Acoustic Sensor Networks [11].…”

Section: Paper Contributionmentioning

confidence: 99%

Unfairness of Random Access with Collision Avoidance in Industrial Internet of Things Networks

Miśkowicz

2021

Sensors

View full text Add to dashboard Cite

This paper is focused on the analysis of unfairness of random media access in Local Operating Networks (LON), which is one of the commercial platforms of the Industrial Internet of Things (IIoT). The unfairness in accessing the LON channel is introduced by a collision avoidance mechanism in the predictive p-persistent CSMA protocol adopted at the media access control layer. The study on the bandwidth share in predictive p-persistent CSMA calls for the analysis of multiple memoryless backoff. In this paper, it is shown that the channel access in LON systems is unfair in the short term for medium traffic load conditions, and in the long term for heavy loaded networks. Furthermore, it is explained that the average bandwidth allocated to a particular node is determined implicitly by the load scenario, while an actual node bandwidth fluctuates in time according to stochastic dynamics of the predictive p-persistent CSMA. Next, it is formally proven that the average bandwidth available to a node is a linear function of its backoff state and does not depend on backoff states of the other stations. Finally, it is demonstrated that possibly unfair bandwidth share in LON networks determined implicitly by load scenario is stable because, with lowering a fraction of actual network bandwidth accessible by a given station, the probability to decrease it in the future also drops.

show abstract

DCN-MAC: A Dynamic Channel Negotiation MAC Mechanism for Underwater Acoustic Sensor Networks

Cited by 11 publications

References 26 publications

Research on Power Allocation in Multiple-Beam Space Division Access Based on NOMA for Underwater Optical Communication

Research on Power Allocation in Multiple-Beam Space Division Access Based on NOMA for Underwater Optical Communication

High Value of Information Guided Data Enhancement for Heterogeneous Underwater Wireless Sensor Networks

Unfairness of Random Access with Collision Avoidance in Industrial Internet of Things Networks

Contact Info

Product

Resources

About