Node Depth Adjustment Based Target Tracking in Sparse Underwater Sensor Networks
Journal of Marine Science and Engineering, 2023 Due to the limited energy in underwater sensor networks, underwater nodes need to be deployed sparsely. However, sparse USNs will lead to poor tracking coverage and detection capability.
Zhenkai Zhang, Shengkai Tian, Yi Yang
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Neural field models with transmission delays and diffusion [PDF]
The Journal of Mathematical Neuroscience, 2020 AbstractA neural field models the large scale behaviour of large groups of neurons. We extend previous results for these models by including a diffusion term into the neural field, which models direct, electrical connections. We extend known and prove new sun-star calculus results for delay equations to be able to include diffusion and explicitly ...
Stephan A. van Gils +4 more
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Sequential Predictors for Uncertain Euler–Lagrange Systems with Large Transmission Delays
Fractal and Fractional, 2023 This paper investigates the state prediction problems for uncertain Euler–Lagrange systems with large time delays during data transmissions. A set of sequential predictors is proposed to estimate the actual real-time states of the systems by using the ...
Shaobo Shen +3 more
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Frequency-Resolved Functional Connectivity: Role of Delay and the Strength of Connections
Frontiers in Neural Circuits, 2021 The brain functional network extracted from the BOLD signals reveals the correlated activity of the different brain regions, which is hypothesized to underlie the integration of the information across functionally specialized areas.
Abolfazl Ziaeemehr +2 more
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Smart Packet Transmission Scheduling in Cognitive IoT Systems: DDQN Based Approach
IEEE Access, 2022 The convergence of Artificial Intelligence (AI) can overcome the complexity of network defects and support a sustainable and green system. AI has been used in the Cognitive Internet of Things (CIoT), improving a large volume of data, minimizing energy ...
Adeeb Salh +8 more
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Draculab: A Python Simulator for Firing Rate Neural Networks With Delayed Adaptive Connections
Frontiers in Neuroinformatics, 2019 Draculab is a neural simulator with a particular use scenario: firing rate units with delayed connections, using custom-made unit and synapse models, possibly controlling simulated physical systems. Draculab also has a particular design philosophy.
Sergio Verduzco-Flores, Erik De Schutter
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Energy Efficient and Reliable ARQ Scheme (ER-ACK) for Mission Critical M2M/IoT Services [PDF]
, 2014 Wireless sensor networks (WSNs) are the main infrastructure for machine to machine (M2M) and Internet of thing (IoT). Since various sophisticated M2M/IoT services have their own quality-of-service (QoS) requirements, reliable data transmission in WSNs is
B Scheuermann +9 more
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Optimizing the Number of Fog Nodes for Cloud-Fog-Thing Networks
IEEE Access, 2018 Fog networking has recently received considerable attention from a theoretical perspective, but in order for such networks to be practical several open areas need to be addressed.
Eren Balevi, Richard D. Gitlin
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Linear Transmission of Composite Gaussian Measurements over a Fading Channel under Delay Constraints [PDF]
, 2016 Delay constrained linear transmission (LT) strategies are considered for the transmission of composite Gaussian measurements over an additive white Gaussian noise fading channel under an average power constraint. If the channel state information (CSI) is
Gomez-Vilardebo, J, Gunduz, D, Tan, O
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Alternative Awaiting and Broadcast for Two-Way Relay Fading Channels [PDF]
, 2012 We investigate a two-way relay (TWR) fading channel where two source nodes wish to exchange information with the help of a relay node. Given traditional TWR protocols, transmission rates in both directions are known to be limited by the hop with lower ...
Jianquan Liu +3 more
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