A Medium Access Control Protocol Based on Parity Group-Graph Coloring for Underwater AUV-Aided Data Collection

Data collection and transmission is the foundation for Internet of Underwater Things (IoUT) applications. Currently, quite a few autonomous underwater vehicle (AUV)-assisted data collection technologies have been proposed. Most of them concentrate on AUV path planning or multipath routing for data t...

Full description

Saved in:
Bibliographic Details
Published inIEEE internet of things journal Vol. 11; no. 4; pp. 5967 - 5979
Main Authors Jiang, Jinfang, Tian, Wenxing, Han, Guangjie, Zhang, Fan
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 15.02.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Access control
Autonomous underwater vehicle (AUV)-aided data collection
Autonomous underwater vehicles
Clustering algorithms
Data collection
Data communication
Data transmission
Energy consumption
Graph coloring
Interference graphs
Media Access Protocol
medium access control protocol
Network topologies
Nodes
Packet transmission
Parity
parity group-graph coloring
Path planning
Protocols
Sensors
Throughput
Trajectory
Online AccessGet full text

Cover

More Information
Summary:Data collection and transmission is the foundation for Internet of Underwater Things (IoUT) applications. Currently, quite a few autonomous underwater vehicle (AUV)-assisted data collection technologies have been proposed. Most of them concentrate on AUV path planning or multipath routing for data transmission, although MAC protocol design is crucial for reliable and secure data transmission in IoUT; hence, a MAC protocol based on parity group-graph coloring (PGGC-MAC) is investigated for underwater AUV-aided data collection. First, the AUV broadcasts path packets before data collection, informing sensor nodes of the path to travel in advance. Then, sensor nodes perform location update before AUV arrives, and collect the location information of neighbor nodes. Based on the position and the path information, the dynamic network topology is analyzed and the interference graph is obtained, which is used to assign working time slots for sensor nodes to transmit packets to the AUV. Finally, simulation results demonstrate that PGGC-MAC outperforms other related techniques in terms of network throughput, packet delivery ratio, energy usage, etc.
ISSN:2327-4662
2327-4662
DOI:10.1109/JIOT.2023.3309251