MARLIN-Q: Multi-modal communications for reliable and low-latency underwater data delivery

Basagni, Stefano; Valerio, Valerio Di; Gjanci, Petrika; Petrioli, Chiara

doi:10.1016/j.adhoc.2018.08.003

Cited by 32 publications

(16 citation statements)

References 11 publications

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“…Multimodal underwater sensor networking is a relatively new research area, and some existing works in this area are [38]- [41]. The idea of this concept is to equip networking devices with several acoustic and non-acoustic communication technologies (e.g., optical, RF, EM and MI) in order to achieve short and long-range communication feature simultaneously using multiple frequency channels.…”

Section: Related Workmentioning

confidence: 99%

“…Gjanci et al [40] provided path finding algorithms for AUVs to maximize value information collection in optical-acoustic multimodal underwater networks. Basagni et al [41] leveraged reinforcement learning technique to develop a scheme, namely MARLIN-Q, for selecting the best forwarding relay and multimodal modems (e.g., multiple acoustic noninterference frequency channels), so as to enhance transmission reliability and satisfy soft QoS requirements of applications. Although the aforementioned works improved the routing throughput by adopting either multiple acoustic channels or hybrid acoustic-optical channels, none of them exploited both the acoustic and RF channels to enhance the routing reliability of the network.…”

Section: Related Workmentioning

confidence: 99%

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Multimodal Acoustic-RF Adaptive Routing Protocols for Underwater Wireless Sensor Networks

et al. 2019

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In multi-function underwater wireless sensor networks (UWSNs), multiple applications share the same physical infrastructure to fully exploit network resources. Under such scenarios, diverse packets coexist in the same network which require differentiated delivery strategies to satisfy application demands, such as ocean monitoring packets and multimedia-based intrusion detection packets (e.g., video streams, voice or images) demand versatile support for data forwarding operation. However, the limited bandwidth and high propagation delay of acoustic channel pose great challenges to satisfy such demands. A feasible solution to solve such a problem is to exploit multimodal networks which integrate complementary acoustic and non-acoustic technologies to enhance transmission capability. Therefore, in this paper, we leverage both surface wireless radio frequency (RF) and underwater acoustic technology to fulfill different performance requirements of underwater sensor networks. We first propose two multimodal acoustic-RF adaptive routing schemes, and identify the major factors which influence the performance of these adaptive protocols. Then, we conduct extensive evaluations of the algorithms for both grid and random deployment scenarios. The simulation results confirm the feasibility of the proposed multimodal acoustic-RF routing protocols under diverse communication scenarios and channels.INDEX TERMS Underwater acoustic networks, routing, ocean sensor networks, surveillance networks.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Multimodal Acoustic-RF Adaptive Routing Protocols for Underwater Wireless Sensor Networks

et al. 2019

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“…Underwater Wireless Sensor Networks (UWSNs) have been a promising networking technique for marine data collection, pollution monitoring, disaster prevention, assisted navigation, and tactical surveillance applications [ 1 , 2 , 3 ]. An especially representative application scenario is composed of large amounts of homogeneous nodes with self-organizing, which are deployed in a region of submarine environment [ 4 , 5 ]. In UWSNs, the nodes are sparsely deployed over a large area due to the high manufacturing cost and high design cost [ 1 , 6 ].…”

Section: Introductionmentioning

confidence: 99%

Cross-Layer-Aided Opportunistic Routing for Sparse Underwater Wireless Sensor Networks

Zhao

Lun

Xue

et al. 2021

Sensors

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Underwater wireless sensor networks (UWSNs) have emerged as a promising technology to monitor and explore the oceans instead of traditional undersea wireline instruments. Traditional routing protocols are inefficient for UWSNs due to the specific nature of the underwater environment. In contrast, Opportunistic Routing (OR) protocols establish an online route for each transmission, which can well adapt with time-varying underwater channel. Cross-layer design is an effective approach to combine the metrics from different layers to optimize an OR routing in UWSNs. However, typical cross-layer OR routing protocols that are designed for UWSNs suffer from congestion problem at high traffic loads. In this paper, a Cross-Layer-Aided Opportunistic Routing Protocol (CLOR) is proposed to reduce the congestion in multi-hop sparse UWSNs. The CLOR consists of a negotiation phase and transmission phase. In the negotiation phase, the cross-layer information in fuzzy logic is utilized to attain an optimal forwarder node. In the transmission phase, to improve the transmission performance, a burst transmission strategy with network coding is exploited. Finally, we perform simulations of the proposed CLOR protocol in a specific sea region. Simulation results show that CLOR significantly improves the network performances at various traffic rates compared to existing protocols.

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“…Although combinations of these traits have already been considered in the literature for various communication devices and networks, those studies are limited to particular communication technologies and applications, and thus, away from providing general insights into transceiver architectures that can address the IoE challenges. For example, multi-modal communications has been extensively studied in the context of underwater networks to optimize the connectivity by adaptively combining acoustic communications with optical or RF communications (Basagni et al, 2019;Campagnaro, 2018;Zhao, 2020). Smart gateway architectures, providing modularity and multi-modality in terms of communication technologies and protocols, have been proposed for IoT to shield the heterogeneity of the IoT sensing layer in its interaction with the network layer (Guoqiang, 2013).…”

Section: Introductionmentioning

confidence: 99%

Universal Transceivers: Opportunities and Future Directions for the Internet of Everything (IoE)

et al. 2021

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The Internet of Everything (IoE) is a recently introduced information and communication technology (ICT) framework promising for extending the human connectivity to the entire universe, which itself can be regarded as a natural IoE, an interconnected network of everything we perceive. The countless number of opportunities that can be enabled by IoE through a blend of heterogeneous ICT technologies across different scales and environments and a seamless interface with the natural IoE impose several fundamental challenges, such as interoperability, ubiquitous connectivity, energy efficiency, and miniaturization. The key to address these challenges is to advance our communication technology to match the multi-scale, multi-modal, and dynamic features of the natural IoE. To this end, we introduce a new communication device concept, namely the universal IoE transceiver, that encompasses transceiver architectures that are characterized by multi-modality in communication (with modalities such as molecular, RF/THz, optical and acoustic) and in energy harvesting (with modalities such as mechanical, solar, biochemical), modularity, tunability, and scalability. Focusing on these fundamental traits, we provide an overview of the opportunities that can be opened up by micro/nanoscale universal transceiver architectures towards realizing the IoE applications. We also discuss the most pressing challenges in implementing such transceivers and briefly review the open research directions. Our discussion is particularly focused on the opportunities and challenges pertaining to the IoE physical layer, which can enable the efficient and effective design of higher-level techniques. We believe that such universal transceivers can pave the way for seamless connection and communication with the universe at a deeper level and pioneer the construction of the forthcoming IoE landscape.Index Terms– Internet of Everything, Universal IoE Transceiver, Interoperability, Multi-modality, Hybrid Energy Harvesting, Molecular Communications, THz Communications, Graphene and related nanomaterials.

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MARLIN-Q: Multi-modal communications for reliable and low-latency underwater data delivery

Cited by 32 publications

References 11 publications

Multimodal Acoustic-RF Adaptive Routing Protocols for Underwater Wireless Sensor Networks

Multimodal Acoustic-RF Adaptive Routing Protocols for Underwater Wireless Sensor Networks

Cross-Layer-Aided Opportunistic Routing for Sparse Underwater Wireless Sensor Networks

Universal Transceivers: Opportunities and Future Directions for the Internet of Everything (IoE)

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