Design and Implementation of State-based MAC Protocol for UANs in Real Testbed

Wang, Limin; Du, Xiujuan; Liu, Xiuxiu; Li, Chong; Lan, ShengLin

doi:10.1109/oceans.2018.8604655

Cited by 2 publications

(1 citation statement)

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“…Wang et al [37] proposed a handshaking free MAC protocol for reliable communication. In this protocol, data are sent in blocks, and communication is done in the half-duplex mode.…”

Section: Related Workmentioning

confidence: 99%

Reinforcement Learning-Based MAC Protocol for Underwater Multimedia Sensor Networks

Gazi

Ahmed

Misra

et al. 2022

ACM Trans. Sen. Netw.

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High propagation delay, high error probability, floating node mobility, and low data-rate, are the key challenges for Underwater Wireless Multimedia Sensor Networks (UMWSNs). In this paper, we propose RL-MAC, a Reinforcement Learning (RL)-based Medium Access Control (MAC) protocol for multimedia sensing in an Underwater Acoustic Network (UAN) environment. The proposed scheme uses Transmission Opportunity (TXOP) for relay nodes in a multi-hop network for improved efficiency concerning the mobility of the relays and sensor nodes. The AP and relay nodes calculate traffic demands from the initial contention of the sensor nodes. Our solution uses Q-learning to enhance the contention mechanism at the initial phase of multimedia transmission. Based on the traffic demands, RL-MAC allocates TXOP duration for the uplink multimedia reception. Further, Structural Similarity Index Measure (SSIM) and compression techniques are used for calculating the image quality at the receiver side and reduce the image at the destination, respectively. We implement a prototype of the proposed scheme over an off-the-shelf, low-cost hardware setup. Moreover, extensive simulation over NS-3 shows a significant packet delivery ratio and throughput compared to the existing state-of-the-art.

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“…Wang et al [37] proposed a handshaking free MAC protocol for reliable communication. In this protocol, data are sent in blocks, and communication is done in the half-duplex mode.…”

Section: Related Workmentioning

confidence: 99%