The open blockchain-aided multi-agent symbiotic cyber–physical systems

Skowroński, Rafał

doi:10.1016/j.future.2018.11.044

Cited by 43 publications

(27 citation statements)

References 12 publications

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“…R. Skowronski [ 16 ] proposed open-trade through blockchain and a hierarchy-based control of flows for the first time. R. Skowronski [ 17 ] tackles the problematics of aiding cyber-physical systems through blockchain-based VMs (Virtual Machines).…”

Section: Related Workmentioning

confidence: 99%

A Smart Contract-Based P2P Energy Trading System with Dynamic Pricing on Ethereum Blockchain

Song

Kang

Shin

et al. 2021

Sensors

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We implement a peer-to-peer (P2P) energy trading system between prosumers and consumers using a smart contract on Ethereum blockchain. The smart contract resides on a blockchain shared by participants and hence guarantees exact execution of trade and keeps immutable transaction records. It removes high cost and overheads needed against hacking or tampering in traditional server-based P2P energy trade systems. The salient features of our implementation include: 1. Dynamic pricing for automatic balancing of total supply and total demand within a microgrid, 2. prevention of double sale, 3. automatic and autonomous operation, 4. experiment on a testbed (Node.js and web3.js API to access Ethereum Virtual Machine on Raspberry Pis with MATLAB interface), and 5. simulation via personas (virtual consumers and prosumers generated from benchmark). Detailed description of our implementation is provided along with state diagrams and core procedures.

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Section: Related Workmentioning

confidence: 99%

A Smart Contract-Based P2P Energy Trading System with Dynamic Pricing on Ethereum Blockchain

Song

Kang

Shin

et al. 2021

Sensors

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“…• Here, the two main weight-scale parameters including θ in Eq (6) and ω in Eq (13) mostly influenced the performance of the proposed algorithm in obtaining the robust optimal solution. The range of parameter θ was between zero and one (0 � θ � 1) and any positive value could be assigned to the parameter ω.…”

Section: Plos Onementioning

confidence: 99%

“…Cyber-Physical System (CPS) combines physical objects or systems with integrated computational facilities and data storage [ 6 ]. CPS is a key enabling technology in systems intelligence.…”

Section: Introductionmentioning

confidence: 99%

Robust optimal design of FOPID controller for five bar linkage robot in a Cyber-Physical System: A new simulation-optimization approach

et al. 2020

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This paper aims to further increase the reliability of optimal results by setting the simulation conditions to be as close as possible to the real or actual operation to create a Cyber-Physical System (CPS) view for the installation of the Fractional-Order PID (FOPID) controller. For this purpose, we consider two different sources of variability in such a CPS control model. The first source refers to the changeability of a target of the control model (multiple setpoints) because of environmental noise factors and the second source refers to an anomaly in sensors that is raised in a feedback loop. We develop a new approach to optimize two objective functions under uncertainty including signal energy control and response error control while obtaining the robustness among the source of variability with the lowest computational cost. A new hybrid surrogate-metaheuristic approach is developed using Particle Swarm Optimization (PSO) to update the Gaussian Process (GP) surrogate for a sequential improvement of the robust optimal result. The application of efficient global optimization is extended to estimate surrogate prediction error with less computational cost using a jackknife leave-one-out estimator. This paper examines the challenges of such a robust multi-objective optimization for FOPID control of a five-bar linkage robot manipulator. The results show the applicability and effectiveness of our proposed method in obtaining robustness and reliability in a CPS control system by tackling required computational efforts.

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“…According to the systematic literature research conducted by Calvaresi et al [20], scientific contributions binding MAS and BCT started to appear in 2015. Among the main scenarios targeted by such technological synergy, we can mention collaborative governance (e.g., energy trading [14], legal accountability [36], and conflict resolution in business collaboration [16]), big data management (e.g., distributed-data anonymization [15]), coordination (e.g., swarm robotics [37], distributed AI [17], and coordination in IoT [38,39]), and trust, data integrity, and reputation management (e.g., reputation in P2P clusters [40], identity assurance [41], eCommerce [42], and supply chain [43]).…”

Section: Combining Mas and Bctmentioning

confidence: 99%

The Good, the Bad, and the Ethical Implications of Bridging Blockchain and Multi-Agent Systems

et al. 2019

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The agent based approach is a well established methodology to model distributed intelligent systems. Multi-Agent Systems (MAS) are increasingly employed in applications dealing with safety and information critical tasks (e.g., in eHealth, financial, and energy domains). Therefore, transparency and the trustworthiness of the agents and their behaviors must be enforced. For example, employing reputation based mechanisms can promote the development of trust. Nevertheless, besides recent early stage studies, the existing methods and systems are still unable to guarantee the desired accountability and transparency adequately. In line with the recent trends, we advocate that combining blockchain technology (BCT) and MAS can achieve the distribution of the trust, removing the need for trusted third parties (TTP), potential single points of failure. This paper elaborates on the notions of trust, BCT, MAS, and their integration. Furthermore, to attain a trusted environment, this manuscript details the design and implementation of a system reconciling MAS (based on the Java Agent DEvelopment Framework (JADE)) and BTC (based on Hyperledger Fabric). In particular, the agents' interactions, computation, tracking the reputation, and possible policies for disagreement-management are implemented via smart contracts and stored on an immutable distributed ledger. The results obtained by the presented system and similar solutions are also discussed. Finally, ethical implications (i.e., opportunities and challenges) are elaborated before concluding the paper.oriented approaches [6]. Instances of such approaches are multi-agent systems (MAS) [7] that recently gained a crucial role in the development of decentralized intelligent systems, often exchanging sensitive data among them [8]. In such a context, accountability and trusted interactions among trustworthy agents are crucial and entail a considerable number of technical and scientific challenges [9,10]. Although a number of contributions have been made around this topic, several aspects related to security and trust in MAS are still open challenges [11][12][13].Recent works [14][15][16][17] have fueled the idea of combining MAS and blockchain technologies (BCT) [18,19] in order to address some of these issues. In particular, BCT has the potential for enabling more secure, trusted, accountable, autonomous, and flexible interactions among distributed entities, removing the need for a centralized trusted third party or a trusted reputation handler. A recent systematic review [20] provided an extensive description of previous works and relevant attempts for developing models and technical implementations of BCT powered multi-agent systems. However, even if these promising results provide potential solutions for trust and security challenges in MAS, a number of undesired implications also emerge, generating new concerns that need to be addressed. ContributionIn this paper, we study the implications of pairing MAS and BCT, especially regarding the establishment of reputation mechanisms ...

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The open blockchain-aided multi-agent symbiotic cyber–physical systems

Cited by 43 publications

References 12 publications

A Smart Contract-Based P2P Energy Trading System with Dynamic Pricing on Ethereum Blockchain

A Smart Contract-Based P2P Energy Trading System with Dynamic Pricing on Ethereum Blockchain

Robust optimal design of FOPID controller for five bar linkage robot in a Cyber-Physical System: A new simulation-optimization approach

The Good, the Bad, and the Ethical Implications of Bridging Blockchain and Multi-Agent Systems

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