An efficient geo-routing aware MAC protocol for underwater acoustic networks

Zhu, Yibo; Zhou, Zhong; Peng, Zheng; Zuba, Michael; Cui, Jun-Hong

doi:10.4108/icst.trans.mca.2011.e6

Cited by 8 publications

(2 citation statements)

References 19 publications

(39 reference statements)

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“…[20] introduces a novel token-based MAC which deals with synchronization problems with TDMA. [21] present GOAL, a MAC protocol that combines self-adaptation, geographic routing awareness, and implicit acknowledgement to improve end-to-end dependability while reducing power usage.…”

Section: Related Workmentioning

confidence: 99%

End to End Energy Efficient IoUT Architecture: SimulationStudy of Underwater Routing Protocols and LoRa

Ganguli,

Agarwalla,

Anand

et al. 2024

Preprint

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In the world of computer networks, underwater areas are a special setting that brings difficulties because of things like sound speed changing, node moving around, and limited node life. Since aerial networks are getting more crowded and overused, the study of underwater networks has become important. This thesis looks at the problems and possibilities in underwater networks, especially for packet routing within the network layer. We aim to assess and contrast different routing protocols that NS2 supports, looking at main performance metrics like end-to-end delay, energy consumption, and packet delivery ratio (PDR). By concentrating on these measurements we wish to highlight the pros and cons of different routing protocols for underwater networks. Along with that, we are also proposing an energy-efficient end-to-end IoUT architecture that explains how a small payload of data gets transmitted from underwater sensor nodes to the LoRa gateway. This would help in progressing technology related to underwater network systems.

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Section: Related Workmentioning

confidence: 99%

End to End Energy Efficient IoUT Architecture: SimulationStudy of Underwater Routing Protocols and LoRa

Ganguli,

Agarwalla,

Anand

et al. 2024

Preprint

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“…Recently there has been significant interest in geographically aware routing protocols [131,135], which learn and construct routing tables based on known node locations. To that end, the one-way-travel-time capabilities in the current implementation of CAPTURE allow every vehicle to determine the range from any overheard transmitter with each transmission.…”

Section: Geographic Routingmentioning

confidence: 99%

Progressively communicating rich telemetry from autonomous underwater vehicles via relays

Murphy¹

2012

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As analysis of imagery and environmental data plays a greater role in mission construction and execution, there is an increasing need for autonomous marine vehicles to transmit this data to the surface. Without access to the data acquired by a vehicle, surface operators cannot fully understand the state of the mission. Communicating imagery and high-resolution sensor readings to surface observers remains a significant challenge -as a result, current telemetry from free-roaming autonomous marine vehicles remains limited to 'heartbeat' status messages, with minimal scientific data available until after recovery. Increasing the challenge, longdistance communication may require relaying data across multiple acoustic hops between vehicles, yet fixed infrastructure is not always appropriate or possible.In this thesis I present an analysis of the unique considerations facing telemetry systems for free-roaming Autonomous Underwater Vehicles (AUVs) used in exploration. These considerations include high-cost vehicle nodes with persistent storage and significant computation capabilities, combined with human surface operators monitoring each node. I then propose mechanisms for interactive, progressive communication of data across multiple acoustic hops. These mechanisms include wavelet-based embedded coding methods, and a novel image compression scheme based on texture classification and synthesis. The specific characteristics of underwater communication channels, including high latency, intermittent communication, the lack of instantaneous end-to-end connectivity, and a broadcast medium, inform these proposals. Human feedback is incorporated by allowing operators to identify segments of data that warrant higher quality refinement, ensuring efficient use of limited throughput. I then analyze the performance of these mechanisms relative to current practices.Finally, I present CAPTURE, a telemetry architecture that builds on this analysis. CAPTURE draws on advances in compression and delay tolerant networking to enable progressive transmission of scientific data, including imagery, across mul-3 tiple acoustic hops. In concert with a physical layer, CAPTURE provides an endto-end networking solution for communicating science data from autonomous marine vehicles. Automatically selected imagery, sonar, and time-series sensor data are progressively transmitted across multiple hops to surface operators. Human operators can request arbitrarily high-quality refinement of any resource, up to an error-free reconstruction. The components of this system are then demonstrated through three field trials in diverse environments on SeaBED, OceanServer and Bluefin AUVs, each in different software architectures.

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