JOURNAL ARTICLE

Multi-Channel MAC Protocol based on Dynamic Time Slot Allocation for Underwater Sensor Networks

Sungyoung ChoiS. Kim

Year: 2019 Journal:   International Journal of Advanced Trends in Computer Science and Engineering Vol: 8 (2)Pages: 187-193   Publisher: The World Academy of Research in Science and Engineering

Abstract

The underwater sensor networks (USNs) are becoming increasingly important in ocean exploration.Compared with wireless networks, USNs have long propagation delay of acoustic signals, which pose challenges to the design of medium access control (MAC) protocol and degrade network performance.In order to improve network performance, EM-MC MAC protocol was proposed.The EM-MC protocol uses a single electromagnetic (EM) channel to reserve data transmissions, and acoustic channels to transmit data packets.The EM-MC protocol does not work well in environments where node configurations change dynamically because the number of time slots to reserve data transmissions on the EM channel is fixed.To solve this problem, we propose a new MAC protocol, which allocates time slots dynamically according to node configurations.In the proposed protocol, time is divided into superframes.Time slots are allocated to each sensor node based on the node configuration at the start time of each superframe.Performance evaluation is conducted using simulation, and confirms that the proposed protocol outperforms the previous protocol in terms of throughput.

Keywords:
Node (physics) Computer network Computer science Channel (broadcasting) Network packet Superframe Protocol (science) Throughput Propagation delay Wireless sensor network Real-time computing Neighbor Discovery Protocol Wireless Internet Protocol Engineering Telecommunications The Internet

Metrics

5
Cited By
1.10
FWCI (Field Weighted Citation Impact)
17
Refs
0.76
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Underwater Vehicles and Communication Systems
Physical Sciences →  Engineering →  Ocean Engineering
Energy Efficient Wireless Sensor Networks
Physical Sciences →  Computer Science →  Computer Networks and Communications
Energy Harvesting in Wireless Networks
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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