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Multi-Agent Systems for Resource Allocation and Scheduling in a Smart Grid

Arun Sukumaran Nair, Tareq Hossen, Mitch Campion, Daisy Flora Selvaraj, Neena Goveas, Naima Kaabouch, Prakash Ranganathan
2018 Technology and Economics of Smart Grids and Sustainable Energy  
With the increasing integration of Distributed Energy Resources (DER) in the power grid, a decentralized approach becomes essential for scheduling and allocation of resources in a smart grid.  ...  Multi-agent systems (MAS) is a promising platform to decentralize the traditional centralized resource allocation aspects of smart grid.  ...  reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.  ... 
doi:10.1007/s40866-018-0052-y fatcat:t6kpejsubzdfbcgrbjdmc7kvqu

The Internet of Things: Secure Distributed Inference

Yuan Chen, Soummya Kar, Jose M.F. Moura
2018 IEEE Signal Processing Magazine  
This paper overviews algorithms for secure distributed inference in IoT.  ...  Adversaries may hijack devices and compromise their data. As a result, reactive countermeasures, such as intrusion detection and resilient analytics, become vital components of security.  ...  In [41] , the authors design an algorithm that is resilient to Byzantines for computing a specific function of a single snapshot of data (this differs from consensus, where the goal is for the agents  ... 
doi:10.1109/msp.2018.2842097 fatcat:ws7ss5vc6nbj3fi2lbk4lgyjdi

Formation Control for a Fleet of Autonomous Ground Vehicles: A Survey

Aakash Soni, Huosheng Hu
2018 Robotics  
Finally, both technical and implementation challenges for formation control are summarized.  ...  Autonomous/unmanned driving is the major state-of-the-art step that has a potential to fundamentally transform the mobility of individuals and goods.  ...  Moreover, a consensus problem for the second-order multi-agent and third-order multi-agent systems were considered in which this heterogeneous system was converted into an equivalent error system for the  ... 
doi:10.3390/robotics7040067 fatcat:wo7eomrs75dmleum5o6tvltgmu

Decentralizing Air Traffic Flow Management with Blockchain-based Reinforcement Learning

Ta Duong, Ketan Kumar Todi, Umang Chaudhary, Hong-Linh Truong
2019 2019 IEEE 17th International Conference on Industrial Informatics (INDIN)  
Our system, named BlockAgent, leverages the inherent synergy between multi-agent reinforcement learning (RL) for air traffic flow optimization; and the rising blockchain technology for a secure, transparent  ...  and decentralized coordination platform.  ...  BlockAgent leverages the synergy between: i) permissioned blockchain technologies such as Hyperledger Fabric for secure, transparent and decentralized optimization; and ii) multi-agent reinforcement learning  ... 
doi:10.1109/indin41052.2019.8972225 dblp:conf/indin/DuongTCT19 fatcat:2edeienchrfyvc6zhdmvasstd4

Blockchain for AI: Review and Open Research Challenges

Khaled Salah, M. Habib Ur Rehman, Nishara Nizamuddin, Ala Al-Fuqaha
2019 IEEE Access  
Blockchain technology has the ability to automate payment in cryptocurrency and to provide access to a shared ledger of data, transactions, and logs in a decentralized, secure, and trusted manner.  ...  AI, on the other hand, offers intelligence and decision-making capabilities for machines similar to humans. In this paper, we present a detailed survey on blockchain applications for AI.  ...  AI techniques that utilize blockchain can offer decentralized learning to facilitate a trust and secure sharing of knowledge and decision outcomes across a large number of autonomous agents, which can  ... 
doi:10.1109/access.2018.2890507 fatcat:ikgb5ov7kzecdgehdyychbqz3e

Evaluating the Self-Optimization Process of the Adaptive Memory Management Architecture Self-aware Memory [article]

Oliver Mattes, Wolfgang Karl
2014 arXiv   pre-print
With Self-aware Memory (SaM), a decentralized, scalable and autonomous self-optimizing memory architecture is developed.  ...  Nowadays manycore processors like Tilera TILE, KALRAY MPPA or Intel SCC combine a rising number of cores in a tiled architecture and are mainly designed for high performance applications with focus on  ...  With Self-aware Memory (SaM), a decentralized, scalable and autonomous selfoptimizing memory architecture is developed.  ... 
arXiv:1405.2910v1 fatcat:te33itnm2zc3xncm7kjcb5y2uy

Simulating, Off-Chain and On-Chain: Agent-Based Simulations in Cross-Organizational Business Processes

Timotheus Kampik, Amro Najjar
2020 Information  
In this paper, we explore the intersection of multi-agent simulations and consortium blockchain technology in the context of enterprise applications by devising architectures and technology stacks for  ...  To support complex decision-making processes by assessing potential future outcomes, agent-based simulations can be considered a useful tool for the autonomous enterprise.  ...  Moreover, we thank Gowtham Mohan for sharing his expertise at the intersection of blockchain technologies and business process execution.  ... 
doi:10.3390/info11010034 fatcat:7kmixt5ipbalzep4siz655acge

Network Topology and Communication-Computation Tradeoffs in Decentralized Optimization [article]

Angelia Nedić, Alex Olshevsky, Michael G. Rabbat
2018 arXiv   pre-print
Algorithms interleave local computations with communication among all or a subset of the nodes.  ...  Motivated by a variety of applications---distributed estimation in sensor networks, fitting models to massive data sets, and distributed control of multi-robot systems, to name a few---significant advances  ...  Architectures for Distributed Optimization Gradient descent is a simple, well-studied, and widely-used method for solving minimization problems, and it is one of the first methods one typically studies  ... 
arXiv:1709.08765v2 fatcat:kiqhiiskbzcivd6rg7eb5m3tom

Grex: A Decentralized Hive Mind

Alex Khawalid, Dan Acristinii, Hans Van Toor, Eduardo Castelló Ferrer
2019 Ledger  
Inter-agent communications were facilitated through DLT in a completely decentralized network.  ...  A search and rescue mission was simulated using drones coupled with single board computers and several simulated agents.  ...  Notes and References  ... 
doi:10.5195/ledger.2019.176 fatcat:ojm2pl2tifd3zfj4ml7d6ubq6m

A Novel Controller of Multi-Agent System Navigation and Obstacle Avoidance

Anuj Agrawal, Aniket Gupta, Joyraj Bhowmick, Anurag Singh, Raghava Nallanthighal
2020 Procedia Computer Science  
Here an extended decentralized consensus-based control of multi-agent system is proposed.  ...  Here an extended decentralized consensus-based control of multi-agent system is proposed.  ...  We acknowledge the help of members of UAS-DTU for their assistance and contribution in system integration and test flights.  ... 
doi:10.1016/j.procs.2020.04.131 fatcat:f2hiqj7sejdltd2jml6muopft4

The NSB control for 3-dimensional flocking of multi-robot systems

Gianluca Antonelli, Filippo Arrichiello, Stefano Chiaverini
2008 2008 International Conference on Information and Automation  
Extensive simulations, assuming 2 and 3-dimensional point-mass agents, prove the effectiveness of the proposed algorithm.  ...  The flocking behavior is achieved resorting to the Null-Space-based Behavioral control by defining very simple behaviors for each robot and properly arranging them in priority.  ...  Centralized/Decentralized architecture Depending on the algorithm's implementation, it is possible to give it a centralized or decentralized architecture.  ... 
doi:10.1109/icinfa.2008.4607976 fatcat:hdpyinbl4rglfm4g5guhzdg6pi

Robot-as-a-Service: From Cloud to Peering Technologies

Aleksandr Kapitonov, Sergey Lonshakov, Vitaly Bulatov, Babak Kia Montazam, James White
2021 Frontiers in Robotics and AI  
Much attention is paid to the analysis of a centralized approach in the development using cloud computing services and the search for the limitations of this approach.  ...  Several major scientific publications on the development of Robot-as-a-Service systems based on a service-oriented paradigm are considered.  ...  ACKNOWLEDGMENTS The authors want to thank Alex Wan and Ivan Berman for helping with the preparation, scouting for information, and edition of this work.  ... 
doi:10.3389/frobt.2021.560829 pmid:34095236 pmcid:PMC8173111 fatcat:pfny46jf65hypizpvcj6mkwtaa

Summary of Satellite Collaborative Planning Algorithm

Jie Zhang, the Graduate School, Air Force Engineering University, Xi'an 710054 China, Gang Wang, Fangzheng Zhao, Guiling Tian, Department of Air-Defense and Anti-Missile, Air Force Engineering University, Xi'an 710054 China, the Graduate School, Air Force Engineering University, Xi'an 710054 China, the Graduate School, Air Force Engineering University, Xi'an 710054 China
2020 International Journal of Future Computer and Communication  
In a word, satellite autonomous and collaborative task scheduling has broad research prospects. Index Terms-Independent collaboration, satellite, integration of satellite and earth.  ...  This paper takes the single-satellite collaborative planning as the satelliteting point, and summarizes and forecasts the planning research of the satellite collaborative algorithm, which focuses on the  ...  AUTHOR CONTRIBUTIONS Jie Zhang conducted the research and wrote the paper; Gang Wang analyzed the data; Fangzheng Zhao collected study materials; Guiling Tian wrote the initial draft; all authors had approved  ... 
doi:10.18178/ijfcc.2020.9.1.557 fatcat:l6prd7iov5bmvj6gibjdgsjszi

Comparative Study of Distributed Consensus Gossip Algorithms for Network Size Estimation in Multi-Agent Systems

Martin Kenyeres, Jozef Kenyeres
2021 Future Internet  
In the paper, we analyze five frequently applied distributed consensus gossip-based algorithms for network size estimation in multi-agent systems (namely, the Randomized gossip algorithm, the Geographic  ...  We examine the performance of the mentioned algorithms with bounded execution over random geometric graphs by applying two metrics: the number of sent messages required for consensus achievement and the  ...  Acknowledgments: We would like to thank the anonymous reviewers of this paper for their supportive and insightful comments. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/fi13050134 fatcat:q5e7jbltgfbm7hz5d5zrcrvikq

Emergent Semantics Principles and Issues [chapter]

Karl Aberer, Philippe Cudré-Mauroux, Aris M. Ouksel, Tiziana Catarci, Mohand-Said Hacid, Arantza Illarramendi, Vipul Kashyap, Massimo Mecella, Eduardo Mena, Erich J. Neuhold, Olga De Troyer, Thomas Risse (+6 others)
2004 Lecture Notes in Computer Science  
Information and communication infrastructures underwent a rapid and extreme decentralization process over the past decade: From a world of statically and partially connected central servers rose an intricate  ...  Again, we hope for global properties to emerge from a multiplicity of pair-wise, local interactions, resulting eventually in a self-stabilizing semantic infrastructure.  ...  [33] proposes an architecture for managing distributed relational databases in a P2P environment.  ... 
doi:10.1007/978-3-540-24571-1_2 fatcat:pgon6yxlqvaprncn46x3xtux5u
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