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Journal ArticleDOI

RHNE-MAC: Random Handshake MAC Protocol Based on Nash Equilibrium for Underwater Wireless Sensor Networks

Dong Wei, +4 more
- 15 Sep 2021 - 
- Vol. 21, Iss: 18, pp 21090-21098
TLDR
In this article, a random handshake MAC protocol based on Nash equilibrium (RHNE-MAC) is proposed to reduce multinode access conflicts and improve network throughput in UWSNs.
Abstract
Underwater wireless sensor networks (UWSNs) have a long propagation delay; thus, when multiple nodes access the channel at the same time, the nodes cannot perceive the channel status in time, which causes access conflicts between nodes. To reduce multinode access conflicts and improve network throughput, a random handshake MAC protocol based on Nash equilibrium (RHNE-MAC) is proposed. In the RTS phase, RHNE-MAC regards nodes sending control packets to channels as competitive behavior and an incomplete information game. This paper firstly discusses the collision probability of two nodes sending data to the master node at the same time when the nodes are evenly distributed. Subsequently, according to the collision probability and the size of the network, the mathematical expectation concept is added to the payment function. Then, it uses the Nash equilibrium theory to solve the game, which allows the network to dynamically adjust the probability of nodes requesting access to a channel according to the number of nodes, thereby minimizing the problem of multinode access conflicts. Finally, the master node schedules the data transmission for each node according to the successful receipt of control packet information and propagation delay information of the network; therefore, multiple nodes can transmit data after a handshake period. The simulation results show that the throughput is increased by approximately 12% compared with prescheduling-based MAC and by 207% compared with TDMA; moreover, the end-to-end delay also has better performance.

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Citations
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Journal ArticleDOI

Deep Reinforcement Learning Based Time-Domain Interference Alignment Scheduling for Underwater Acoustic Networks

TL;DR: Simulation results show that DRLSA-IA can greatly improve the network performance, especially in terms of throughput, packet delivery ratio and fairness under different network settings.
Journal ArticleDOI

Backoff-toleration-based opportunistic MAC protocol for underwater acoustic sensor networks

Keyu Chen
- 02 May 2022 - 
TL;DR: In this paper , the authors proposed a Backoff-Toleration-Based Opportunistic (BTBO) protocol, where each sensor node opportunistically learns by backoffing tolerantly, and finds the optimal transmission time respectively to transmit the data packet.
Journal ArticleDOI

An Efficient Distributed MAC Protocol for Underwater Acoustic Sensor Networks

- 15 Feb 2023 - 
TL;DR: In this paper , the authors proposed an efficient distributed medium access control (ED-MAC) protocol for underwater acoustic sensor networks (UASNs), which reduces the impact of long propagation delays on channel reservation by removing the channel reservation confirmation process and improving channel reservation efficiency.
Journal ArticleDOI

Request Control of Web Service-Based Sampling System With Multiple Smart Sensors

TL;DR: In this paper , the authors proposed a Markov decision process (MDP) framework to formulate the request process of WSSS, and explored out the optimal polling frequency and probability in the polynomial time for the smart sensors.
References
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Proceedings ArticleDOI

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TL;DR: A medium access control (MAC) protocol suitable for an underwater acoustic network is proposed and analyzed, which uses time slotting and is thus called slotted FAMA, thus providing savings in energy.
Journal ArticleDOI

Impacts of Deployment Strategies on Localization Performance in Underwater Acoustic Sensor Networks

TL;DR: Analyzing the impacts of node deployment strategies on localization performances in a 3-D environment reveals that the regular tetrahedron deployment scheme outperforms the random deployment scheme and the cube deployment scheme in terms of reducing localization error and increasing localization ratio while maintaining the average number of neighboring anchor nodes and network connectivity.
Journal ArticleDOI

Secure communication for underwater acoustic sensor networks

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