In this paper, we provided an overview of throughput Satellites, integrating both market and technical considerations, examine important metrics tradeoffs for these satellites, including their cost per bit/second decision tree positioning in the affordability-performance map. Ground segments gateways, considerations HTS, were not within scope paper (see example Jeannin et al. [30] analysis issues).

One of the important goals a smart city is to increase quality urban mobility. This paper will explore use dynamic tariffs for this purpose. Transactive control, concept feedback through economic transactions, promising accomplishing such tariffs, and focus paper. Two specific examples transactive control are considered in paper, first which synthesis toll prices with goal reducing traffic congestion highways. We examine how model-based approach can result optimal pricing schemes....

This work studies a dynamic, adversarial resource allocation problem in environments modeled as graphs. A blue team of defender robots are deployed the environment to protect nodes from red attacker robots. We formulate engagement discrete-time dynamic game, where can move at most one hop each time step. The game terminates with team's win if any location has more than time. goal is identify strategies, well conditions that determines winner: graph structure, available resources, and initial...

Travel time in urban centers is a significant contributor to the quality of living its citizens. Mobility on Demand (MoD) services such as Uber and Lyft have revolutionized transportation infrastructure, enabling new solutions for passengers. Shared MoD shown that continuum can be provided between traditional private transport an individual public mass transit-based transport, by making use underlying cyber-physical substrate provides advanced, distributed, networked computational...

Camera can sensor the environment on lane by extracting lines, but such detection is limited to a short distance with effect of illumination and other factors; radar detect objects long away cannot conditions. This paper combined machine vision millimeter-wave extracted nearby distinct line through images; at same time, obtained motion trajectory information distant vehicles, then least-square method was used make curve fitting those in order reconstruct information. Finally, stage fusing...

The widespread integration of Internet Things (IoT) technology in modern electrical power grids has given rise to the emergence Industrial IoT Smart Grid Networks. However, utilization Routing Protocol for Low-Power Lossy Networks (RPL) IIoT exposes them significant risks routing attacks due their global connectivity and resource limitations. This paper proposes a hybrid deep neural network approach that utilizes CNN-BiLSTM detection classification RPL protocol Relevant preprocessing feature...

High-Throughput Satellites (HTS) are a distinctive class of communication satellites that provide significantly more throughput per allocated bandwidth than traditional wide-beam satellites. They the proverbial wave creative disruption in space industry and poised to disrupt market significant ways. The objective this work is develop decision-analytic framework for assessing value meaningful results such systems under realistic design, operational, conditions. We cost revenue models HTS. To...

This work studies the behaviors of two large-population teams competing in a discrete environment. The team-level interactions are modeled as zero-sum game while agent dynamics within each team is formulated collaborative mean-field problem. Drawing inspiration from literature, we first approximate with its infinite-population limit. Subsequently, construct fictitious centralized system and transform to an equivalent between coordinators. Via novel reachability analysis, study optimality...

The paper introduces ACS-IoT, an Anomaly Classification System for IoT networks, structured as a two-tiered framework. In the first, it employs decision tree classifier anomaly detection. second, CNN-BiLSTM model is utilized more profound analysis and classification of types. To address data imbalance, SMOTE used, feature selection enhanced with PSO. approach showcases strong practical applicability in real-world industrial settings, achieving accuracy 88%, precision 89%, recall F1-score 88%...

Mean-field games (MFG) were introduced to efficiently analyze approximate Nash equilibria in large population settings. In this work, we consider entropy-regularized mean-field with a finite state-action space discrete time setting. We show that entropy regularization provides the necessary regularity conditions, are lacking standard mean field games. Such conditions enable us design fixed-point iteration algorithms find unique equilibrium (MFE). Furthermore, reference policy used an extra...

In this work we present a hierarchical framework for solving discrete stochastic pursuit-evasion games (PEGs) in large grid worlds. Given partition of the world into superstates, proposed approach creates two-resolution decision-making process, which consists set local PEGs at original state level and an aggregated PEG superstate level. With much smaller spaces, both game can be easily solved to Nash equilibria. Through numerical simulations, show that significantly reduces computation...

In recent years, Unmanned Aerial Vehicles (UAVs) have been used in fields such as architecture, business delivery, military and civilian theaters, many others. With increased applications comes the demand for advanced algorithms resource allocation energy management. As is well known, game theory machine learning are two powerful tools already widely wireless communication field there numerous surveys of usage communication. Existing however focus either on or due to this fact, current...

We present a framework that incorporates the idea of bounded rationality into dynamic stochastic pursuit-evasion games. The solution game is characterized, in general, by its (Nash) equilibria feedback form. However, computing these Nash equilibrium strategies may require extensive computational resources. In this paper, agents are modeled as rational entities having limited illustrate applying it to between two vehicles wind field, where both pursuer and evader rational. show how such be...

In this article, we propose a joint access selection and bandwidth allocation method for UAV-assisted wireless communication networks. We consider an application scenario where UAVs act as flying base stations to provide services ground mobile devices. The interactions among devices are modeled Stackelberg game, the leaders followers. is noncooperative of based on evolutionary game theory. explore distributed synchronous update asynchronous update's influence convergence results. addition,...

In this work, we extend the convex body chasing problem to an adversarial setting, where agent (the Player) is tasked chase a sequence of bodies generated adversarially by opponent. The Player aims minimize cost associated with its total movements, while Opponent tries maximize. set feasible finite and known both agents, which allows us provide performance guarantees max-min optimality rather than via competitive ratio. Under some mild assumptions, show continuity optimal value function...

According to the problem that center frequency of signal is not accurate, result inaccuracy. In view this situation, principle measuring range and velocity target using FMCW radars studied, then beat processed improve accuracy estimation. This paper uses window function for filtering in order reduce effect leakage fence effect; FFT used find out rough location frequency; finally one-dimensional Gauss refine spectrum get estimated frequency. Matlab simulation. Compared with different methods,...

Travel time in urban centers is a significant contributor to the quality of living its citizens. Mobility on Demand (MoD) services such as Uber and Lyft have revolutionized transportation infrastructure, enabling new solutions for passengers. Shared MoD shown that continuum can be provided between traditional private transport an individual public mass transit based transport, by making use underlying cyber-physical substrate provides advanced, distributed, networked computational...