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Adjacent Channel Interference and Congestion Control for Multi-Channel Operation in Vehicular Networks

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 2025年第5期26卷 6661-6674页

作者： Egea-Lopez, Esteban Pavon-Marino, Pablo Univ Politcn Cartagena UPCT Dept Informat & Commun Technol Cartagena 30202 Spain

ETSI has considered a new set of services for the Release 2, which cannot be implemented using the single control channel. Therefore, it is necessary to regulate the operation of applications on multiple channels, what is called Multi-Channel Operation (MCO). In this case the interference from the first adjacent channel is not negligible and is recommended to manage it by congestion control mechanisms. We propose an elastic channel usage scheme for MCO, based on an optimal scheduler whose goal is to maximize the traffic on the channels while minimizing the adjacent channel interference generated by that load and controlling the congestion. We formulate the interference and congestion control as a constrained convex optimization problem and derive as solution a distributed algorithm called MINOS (MultI-chaNnel operation Optimal Scheduler). MINOS seamlessly work when vehicles have a different number of network interfaces available, and constraints and priorities can be set individually and dynamically, which provides flexibility to implement more sophisticated services on top of the framework. Our results show that MINOS effectively controls the congestion and reduces the interference, achieving an increased packet reception ratio across all channels and a higher allocated traffic, compared to other proposals.

关键词： Interference Proposals Radio access technologies Interchannel interference Optimal scheduling Network interfaces distributed algorithms Load modeling Intelligent transportation systems Filling Vehicular communications congestion control scheduling multi-channel operation MCO adjacent interference

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Event-Based Hybrid Bi-Level Energy Management and Control Framework of Networked Microgrid

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IEEE TRANSACTIONS ON SMART GRID 2025年第2期16卷 1351-1365页

作者： Wu, Tao Wang, Jianhui Zhao, Tianqiao Zhou, Anping Chowdhury, Badrul Cox, Robert Southern Methodist Univ Dept Elect & Comp Engn Dallas TX 75275 USA Brookhaven Natl Lab Dept Elect Engn Upton NY 11973 USA Univ North Carolina Charlotte Dept Elect & Comp Engn Charlotte NC 28223 USA

Networked microgrids (NMGs) are favorable for enhancing the operating efficiency under normal operations and maintaining energy supply to critical facilities during abnormal conditions in the face of severe outages. This paper proposes an event-based hybrid bi-level energy management and control framework for NMGs. We first propose a hybrid bi-level energy management and control system, incorporating the energy management of NMGs at the upper-level and the control of distributed energy resources (DERs) at the lower-level. The upper-level aims to offer economic and resilient solutions by considering diverse operating conditions (e.g., normal and emergency). The lower-level DER control is proposed to ensure intra-hour operation in a fully distributed manner. An event-triggered module incorporating several predefined events is designed to switch the control model (i.e., operation targets and constraints) of the upper-level for different operation conditions and to reschedule DERs and breaker of NMGs. A consensus-based fully distributed control method for the lower-level is then developed considering the three-phase real power balance. Numerical simulations on the IEEE 123-bus system and a 900-bus utility-owned feeder are conducted to verify the effectiveness of the proposed framework.

关键词： Microgrids Energy management Event detection Decentralized control Switches Resilience distributed algorithms Couplings Costs Vectors Networked microgrids distributed energy resources event trigger distributed control

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The min-move mutual visibility problem for disoriented asynchronous robots

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THEORETICAL COMPUTER SCIENCE 2025年 1035卷

作者： Bhagat, Subhash Mukhopadhyaya, Krishnendu Ray, Rajarshi Indian Inst Technol Jodhpur Dept Math Jheepasani India Indian Stat Inst Adv Comp & Microelect Unit Kolkata India Indian Assoc Cultivat Sci Sch Math & Computat Sci Kolkata India

We consider a distributed system of n >= 3 autonomous robots in the Euclidean plane under the obstructed visibility model. In the obstructed visibility model, robots are considered opaque, and if three robots lie on a straight line, the mid- dle robot blocks the vision of the two other robots. The mutual visibility problem requires the robots to coordinate their movements in such a way that all the robots in the system become mutually visible. This paper studies a constrained version of the mutual visibility problem, namely the min-move mutual visibility problem. The min-move mutual visibility problem asks to solve the mutual visibility problem by moving each robot at most once. One of the major implications of this constrained version of the mutual visibility problem is that it also addresses the issue of energy efficiency for the robots. We study the min-move mutual visibility problem for disoriented robots (i.e., robots not having any form of local axis agreement or common chirality). We study the problem under two of the strongest adversarial models, namely asynchronous scheduler and non- rigid movements. We first show that the min-move mutual visibility problem is not solvable for disoriented asynchronous robots with non-rigid movements in the absence of externally visible lights. Then, we analyze different characteristics of a min-move mutual visibility algorithm for disoriented robots with non-rigid movements. We use these properties to present a distributed algorithm that solves the problem for disoriented asynchronous robots with non-rigid movements and having externally visible lights (FALL light model). The algorithm uses only 7 colors for the lights. The proposed algorithm is collision-free and runs in O(n) epochs.

关键词： distributed algorithms Swarm of robots Mutual visibility Asynchronous Disoriented robots Non-rigid movement Persistent lights

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A Collaborative Adaptive Cybersecurity Algorithm for Cognitive Cities

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JOURNAL OF COMPUTER INFORMATION SYSTEMS 2025年

作者： Abonamah, Abdullah Sibai, Fadi N. George Washington Univ Washington DC USA Gulf Univ Sci & Technol Mubarak Al Abdullah Kuwait

We propose a Collaborative Cybersecurity Algorithm with distributed Success Scores (CCAwDSS) as an adaptive cybersecurity defense system within cognitive city systems. In this system, nodes have responsibilities to detect and neutralize threats using AI-based adaptive cybersecurity algorithms. They are aware of the other nodes performance in dealing with cyber threats and can utilize other nodes' successful algorithms and defense controls in a sharing arrangement. The collaboration is achieved by requiring that each active node in the defense system to share its neutralization algorithms and defense responses and broadcasts its "success score" immediately after detecting and neutralizing a threat to the other nodes. This continuous broadcasting mechanism would ensure that each node is continuously updated on the performance capability of its peers in real time.

关键词： Cyber-security distributed algorithms IoT smart cities fog computing edge computing

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The Structure of Hypergraphs Arising in Cellular Mobile Communication Systems

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IEEE TRANSACTIONS ON MOBILE COMPUTING 2025年第1期24卷 150-164页

作者： Ganesan, Ashwin Atlas SkillTech Univ Mumbai 400070 Maharashtra India

An assumption that researchers have often used to model interference in a wireless network is the unit disk graph model. While many theoretical results and performance guarantees have been obtained under this model, an open research direction is to extend these results to hypergraph interference models. Motivated by recent results that the worst-case performance of the distributed maximal scheduling algorithm is characterized by the interference degree of the hypergraph, in the present work we investigate properties of the interference degree of the hypergraph and the structure of hypergraphs arising from physical constraints. We show that the problem of computing the interference degree of a hypergraph is NP-hard and we prove some properties and results concerning this hypergraph invariant. We investigate which hypergraphs are realizable, i.e. which hypergraphs arise in practice, based on physical constraints, as the interference model of a wireless network. In particular, a question that arises naturally is: what is the maximal value of r such that the hypergraph K-1,K-r is realizable? We determine this quantity for various integral and nonintegral values of the path loss exponent of signal propagation. We also investigate hypergraphs generated by line networks.

关键词： Interference Scheduling algorithms Stars Scheduling Signal to noise ratio Propagation losses Applications of hypergraph theory applied algorithms cellular systems distributed algorithms hypergraph models interference degree maximal scheduling unit disk graphs wireless networks wireless networks

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Adaptive Multi-view Radiance Caching for Heterogeneous Participating Media

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COMPUTER GRAPHICS FORUM 2025年

作者： Stadlbauer, P. Tatzgern, W. Mueller, J. H. Winter, M. Stojanovic, R. Weinrauch, A. Steinberger, M. Graz Univ Technol Inst Visual Comp Graz Austria Huawei Technol Vienna Austria

Achieving lifelike atmospheric effects, such as fog, is essential in creating immersive environments and poses a formidable challenge in real-time rendering. Highly realistic rendering of complex lighting interacting with dynamic fog can be very resource-intensive, due to light bouncing through a complex participating media multiple times. We propose an approach that uses a multi-layered spherical harmonics probe grid to share computations temporarily. In addition, this world-space storage enables the sharing of radiance data between multiple viewers. In the context of cloud rendering this means faster rendering and a significant enhancement in overall rendering quality with efficient resource utilization.

关键词： CCS Concepts distributed algorithms Parallel algorithms Rendering • Computing methodologies → Ray tracing

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Fault-tolerant mutual visibility without any axis agreement in presence of mobility failure

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THEORETICAL COMPUTER SCIENCE 2025年 1025卷

作者： Pramanick, Subhajit Jana, Saswata Mandal, Partha Sarathi Indian Inst Technol Guwahati Dept Math Gauhati 781039 Assam India

We aim to solve the mutual visibility problem using N autonomous, indistinguishable, homogeneous, oblivious and opaque point robots in the presence of mobility failure. The faulty robot cannot move when it becomes faulty, but the light remains working. Initially, from any arbitrary configuration, the problem of mutual visibility using robots aims to reach a configuration where any two robots can see each other. The challenge is to reach to such a configuration in the presence of faulty robots along with obstructed visibility under which two robots see each other only if the line segment joining them does not have any robots. Every robot operates in the conventional Look-Compute-Move cycles. Robots neither have any agreement in their coordinate system nor have the knowledge of N. The problem is not solvable for a specific symmetric initial configuration of the robots. We propose an algorithm that tolerates f (<= N) number of faulty robots and uses a constant number of colors in the FSYNC setting. To be specific, the algorithm requires 21 colors and runs in O(N2) synchronous rounds. We present another algorithm much simpler than the prior one but can tolerate a single faulty robot. This algorithm needs only 2 colors in the SSYNC and 5 colors in the ASYNC setting.

关键词： distributed algorithms Mobile robots Mobility failure Luminous robots Mutual visibility

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Multi-objective network resource allocation method based on fractional PID control

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SIGNAL PROCESSING 2025年 227卷

作者： Ni, Xintong Wei, Yiheng Zhou, Shuaiyu Tao, Meng Southeast Univ Sch Math Nanjing 211189 Peoples R China

In this paper, a fractional proportional-integral-derivative (PID) distributed optimization algorithm is proposed to solve the network resource allocation problem. The algorithm combines fractional calculus and the concept of PID control, which improves the convergence rate and increases the freedom, flexibility and potential with multiple parameters compared with the existing algorithms. Meanwhile, the results of simulation study verified the efficiency and superiority of the algorithm.

关键词： Multi-objective optimization Resource allocation distributed algorithms PID Fractional calculus

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Quantized Privacy-Preserving algorithms for Homogeneous and Heterogeneous Networks With Finite Transmission Guarantees

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IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS 2025年第1期12卷 325-337页

作者： Rikos, Apostolos I. Hadjicostis, Christoforos N. Johansson, Karl H. Hong Kong Univ Sci & Technol Guangzhou Artificial Intelligence Thrust Informat Hub Guangzhou 511453 Peoples R China Hong Kong Univ Sci & Technol Dept Comp Sci & Engn Clear Water Bay Hong Kong Peoples R China Univ Cyprus Dept Elect & Comp Engn CY-1678 Nicosia Cyprus KTH Royal Inst Technol Div Decis & Control Syst SE-10044 Stockholm Sweden Digital Futures SE-10044 Stockholm Sweden

Privacy protection is increasingly critical in various applications due to the prevalence of networked systems. In this article, we focus on preserving the privacy of nodes' initial states while computing their average in a network. Curious nodes attempt to identify the initial states of other nodes without interfering in the computation. To address this challenge, we propose two privacy-preserving algorithms. The first algorithm operates over homogeneous networks, i.e., nodes have consistent processing delays and are able to communicate in a synchronous fashion. The second algorithm operates over heterogeneous networks, i.e., nodes have varying processing delays and communicate in an asynchronous fashion. Our algorithms exhibit efficient communication, finite-time convergence, and operation termination after convergence, making them suitable for resource-constrained environments. We also present topological conditions under which our algorithms enable privacy preservation. Finally, we apply our algorithms to a smart grid system and compare their performance against other algorithms, emphasizing their advantages in communication efficiency, convergence rate, and privacy preservation.

关键词： Privacy Convergence Smart grids Control systems Network systems Heterogeneous networks Delays distributed algorithms finite-time convergence finite transmission privacy-preserving average consensus quantized communication smart grid

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Move-optimal arbitrary pattern formation by mobile robots on rectangular grid using near-optimal spatial area

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THEORETICAL COMPUTER SCIENCE 2025年 1038卷

作者： Sharma, Avisek Ghosh, Satakshi Goswami, Pritam Sau, Buddhadeb Jadavpur Univ Dept Math Kolkata 700032 West Bengal India Int Inst Informat Technol IIIT Bhubaneswar Dept Basic Sci & Humanities Bhubaneswar 751003 Odisha India Sister Nivedita Univ Dept Comp Sci & Engn Kolkata 700156 West Bengal India

Arbitrary pattern formation (APF) is a well-studied problem in swarm robotics. To the best of our knowledge, the problem has been considered in two different settings: one in a euclidean plane and another in an infinite grid. This work deals with the problem in an infinite rectangular grid setting. The previous works in literature dealing with the APF problem in an infinite grid had a fundamental issue. These deterministic algorithms use a lot of spatial area in the grid to solve the problem, mainly to maintain the asymmetry of the configuration and avoid any collision. These solution techniques cannot be useful if there is a spatial constraint in the application field. In this work, we consider luminous robots (each robot equipped with a light that can take three colors) to avoid symmetry, but we carefully designed a deterministic algorithm that solves the APF problem using the minimal required spatial area in the grid if the initial pattern is asymmetric. The robots are autonomous, identical, and anonymous, and they operate in Look-Compute-Move cycles under a fully-asynchronous scheduler. The APF algorithm proposed in [1] by Bose et al. can be modified using luminous robots so that it uses minimal spatial area, but that algorithm is not move-optimal. The algorithm proposed in this paper not only uses minimal spatial area but is also asymptotically move-optimal.

关键词： distributed algorithms Arbitrary pattern formation Rectangular grid Robot with lights Optimal algorithms

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