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Open research questions in Underwater Vehicles and Communication Systems

71 unresolved questions extracted from the limitations and future-work sections of 193 Underwater Vehicles and Communication Systems papers in our library. Each links back to the study that raised it.

What the literature leaves open

  • To test the framework in real-world conditions. To apply the framework to other types of underwater sensor networks or applications. To further improve the accuracy and energy efficiency of the system.

    Federated Learning-Enabled Collaborative Intelligence for Energy-Constrained Underwater Sensor Networks in Naval Surveillance Systems · 2026 · DOI

  • The unique challenges of underwater sensor networks, such as energy limitations and noisy communication, are not addressed by current hierarchical and robust FL systems. The need for a decentralized intelligence approach that can improve the accuracy and energy efficiency of the system.

    Federated Learning-Enabled Collaborative Intelligence for Energy-Constrained Underwater Sensor Networks in Naval Surveillance Systems · 2026 · DOI

  • Future research can focus on evaluating the performance of IR2P in real-world underwater environments. The development of new routing protocols that address the challenges of energy limitations and link instability is necessary.

    Intelligent Reinforcement-Learning Routing Protocol With Integrated Power Control for Underwater Acoustic Sensor Networks · 2026 · DOI

  • The lack of efficient routing protocols for underwater acoustic sensor networks is a significant challenge. Prior work has not fully addressed the challenges of energy limitations and link instability.

    Intelligent Reinforcement-Learning Routing Protocol With Integrated Power Control for Underwater Acoustic Sensor Networks · 2026 · DOI

  • The lack of a suitable method for localization in Rician fading channels. The need for a method that can handle small-scale variations in UWA channels.

    Localization of OFDM Sources Using a Single Hydrophone in Rician Fading Channels · 2026 · DOI

  • Most DL methods face two major challenges: generated continuous-valued channel input symbols and poor transmission performance. Traditional methods are not optimal and are severely affected by channel state.

    Underwater Image Transmission System Based on Joint Coding Constellation Mapping and Hybrid-Driven OFDM Receiver · 2026 · DOI

  • The paper identifies a research gap in the use of machine learning algorithms for UWSN prediction. The paper highlights the need for a prediction system that can enhance UWSN performance and energy efficiency.

    Machine Learning-Based Prediction System for Optimizing Underwater Wireless Sensor Networks · 2026 · DOI

  • The paper does not discuss the limitations of the proposed CAF-HO framework in detail. The simulation is limited to a specific scenario, and the results may not be generalizable to all underwater environments.

    Cross-Ambiguity Function Hierarchical Optimization Doppler Estimation for Underwater Acoustic OFDM Communication · 2026 · DOI

  • Future research can focus on extending the CAF-HO framework to other underwater communication systems. The proposed framework can be applied to other fields where Doppler estimation is crucial. Further research is needed to investigate the performance of the CAF-HO framework in different underwater environments.

    Cross-Ambiguity Function Hierarchical Optimization Doppler Estimation for Underwater Acoustic OFDM Communication · 2026 · DOI

  • Continued research, development, and integration of emerging technologies will drive the advancement of underwater positioning systems. The development of new technologies such as quantum clocks can have significant implications for underwater navigation and mapping. The exploration of new application domains such as marine research, underwater exploration, offshore operations, and underwater robotics can benefit from the integration of these advancements.

    Paradigm-shifting the subaquatic frontier: advancements and prospects of integrated underwater systems for future applications · 2026 · DOI

  • Traditional underwater technologies pose challenges such as limited sensing and navigation techniques, as well as underwater communication methods. There is a need for multifunctional and intelligent AUVs capable of undertaking multiple tasks. The integration of emerging technologies can shift the existing paradigms in underwater technology.

    Paradigm-shifting the subaquatic frontier: advancements and prospects of integrated underwater systems for future applications · 2026 · DOI

  • High propagation delays. Limited bandwidth. Attenuation of signals. Intense noise interference. Energy efficiency.

    Machine Learning-Based Prediction System for Optimizing Underwater Wireless Sensor Networks · 2026 · DOI

  • High complexity of maximum likelihood sequence estimation in UACs - Limited performance of decision feedback equalizers

    Iterative Sequence Detection Combined with Channel Shortening and Sphere Decoding in Underwater Acoustic Communications · 2024 · DOI

  • The existing metaheuristic-based methods use two separate algorithms for clustering and multi-hop routing, increasing computational complexity. The cluster optimization technique will organize the sensor nodes into a cluster network, with each cluster led by a cluster head, but the overburdens of CH nodes impact the performance of the cluster optimization method.

    The optimization of nodes clustering and multi-hop routing protocol using hierarchical chimp optimization for sustainable energy efficient underwater wireless sensor networks · 2023 · DOI

  • UWSNs face security challenges due to malicious data injection and network attacks. Protecting UWSN channels is challenging due to critical water conditions. There is a need for a secure and optimized intrusion detection system for UWSNs.

    Secure and optimized intrusion detection scheme using LSTM-MAC principles for underwater wireless sensor networks · 2023 · DOI

  • Future research can focus on developing new routing protocols for UWSNs. Future research can focus on evaluating the performance of routing protocols in different UWSN scenarios.

    Routing protocols classification for underwater wireless sensor networks based on localization and mobility · 2022 · DOI

  • The lack of efficient routing protocols for UWSNs is a research gap. The need for a comprehensive review of UWSN routing protocols is a research gap.

    Routing protocols classification for underwater wireless sensor networks based on localization and mobility · 2022 · DOI

  • Further research can be done to implement the algorithm in real-world underwater wireless sensor network applications. The algorithm can be tested in different underwater environments and scenarios. The EDMPP algorithm can be improved and optimized for better performance.

    Dynamic mobile anchor path planning for underwater wireless sensor networks · 2021 · DOI

  • Existing path planning algorithms do not consider irregular deployment caused by water currents. There is a need for an efficient dynamic mobile path planning algorithm that tackles irregular deployment and non-collinear virtual beacon point placement.

    Dynamic mobile anchor path planning for underwater wireless sensor networks · 2021 · DOI

  • Accurate distance measurement is vital for range-based localization. The underwater environment is challenging due to multipath fading and time synchronization. The need for precise synchronization is a major limitation.

    Localization of Mobile Submerged Sensors using Lambert-W Function and Cayley-Menger Determinant · 2020 · DOI

  • Further research can be conducted to test the method in real-world scenarios. The method can be improved by considering other factors that affect distance measurement and coordinate estimation. The method can be applied to other areas such as terrestrial wireless sensor networks.

    Localization of Mobile Submerged Sensors using Lambert-W Function and Cayley-Menger Determinant · 2020 · DOI

  • Limited bandwidth of underwater acoustic communication channel. High cost of maritime assets. Underwater robotic swarm deployment is particularly challenging.

    A Fuzzy Cooperative Localisation Framework for Underwater Robotic Swarms · 2020 · DOI

  • The simulation is limited to a swarm size of 150 autonomous underwater vehicles. The underwater acoustic communication channel has limited bandwidth.

    A Fuzzy Cooperative Localisation Framework for Underwater Robotic Swarms · 2020 · DOI

  • Localization in underwater domains is challenging due to limited communication range and high latency. Existing methods have limitations, such as requiring multiple reference nodes. Non-linear equations are difficult to solve.

    Embracing Localization Inaccuracy with a Single Beacon · 2019 · DOI

  • Existing methods require multiple reference nodes or have limited accuracy. There is a need for a precise and accurate localization method using a single beacon.

    Embracing Localization Inaccuracy with a Single Beacon · 2019 · DOI

Most-cited papers in Underwater Vehicles and Communication Systems

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71 open questions have been extracted from the limitations and future-work passages of 193 Underwater Vehicles and Communication Systems papers in our library. Each one below links back to the study that raised it, so you can read the original claim in context.

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