Parallelization of Ant System for GPU under the PRAM Model

Brodnik, Andrej; Grgurovič, Marko

doi:10.4149/cai_2018_1_229

Cited by 3 publications

(2 citation statements)

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“…Moreover, the presented solution is centralized and requires further changes, in particular related to parallelization, which, consequently, improves the efficiency and time complexity. For example, replacing MILP with an ant-colony metaheuristics gives a very practical parallel solution [71].…”

Section: Routing and Sink Placement Optimizationmentioning

confidence: 99%

Privacy-Aware and Secure Decentralized Air Quality Monitoring

et al. 2022

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Indoor Air Quality monitoring is a major asset to improving quality of life and building management. Today, the evolution of embedded technologies allows the implementation of such monitoring on the edge of the network. However, several concerns need to be addressed related to data security and privacy, routing and sink placement optimization, protection from external monitoring, and distributed data mining. In this paper, we describe an integrated framework that features distributed storage, blockchain-based Role-based Access Control, onion routing, routing and sink placement optimization, and distributed data mining to answer these concerns. We describe the organization of our contribution and show its relevance with simulations and experiments over a set of use cases.

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Section: Routing and Sink Placement Optimizationmentioning

confidence: 99%

Privacy-Aware and Secure Decentralized Air Quality Monitoring

et al. 2022

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“…The methods of parallel transmission can be divided into three types: the PRAM model, LogP model, and BSP model. The PRAM model used in some previous studies (Brodnik & Grgurovi, 2018;Mishra et al, 2019) has a small local storage capacity, which is not suitable for MIMD machines with a distributed storage structure, and requires all instructions to be carried out in the mode of latches, which is time-consuming. The LogP model is mainly applicable to the design of point-to-point messaging algorithm.…”

Section: Introductionmentioning

confidence: 99%

Electric vehicle regional management system based on the BSP model and multi-information fusion

Zeng

Sun

2020

Systems Science & Control Engineering

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Aiming at the problem of most electric vehicles (EV) sounding false alarms due to touches, an EV alarm regionalization management control system based on multi-information fusion and the BSP model is designed in the present study. The proposed system uses multiple sensors to detect the state of the EV, and realizes multi-sensor information fusion by the Lagrange interpolation method. The ZigBee networking technology is used to carry out the regional management of EV alarms, establish a BSP model, realize the synchronous transmission of system status detection signals, and finally complete the alarm function. The experimental results show that the false alarm rate of traditional EV alarm systems is about 85.5%, that of alarm systems that perform state monitoring without information fusion is about 11.3%, and that of the proposed alarm system that performs multi-information fusion simultaneously is greatly reduced to about 0.5%.

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The projector algorithm: A simple parallel algorithm for computing Voronoi diagrams and Delaunay graphs

Reem

2023

Theoretical Computer Science

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Parallelization of Ant System for GPU under the PRAM Model

Cited by 3 publications

References 0 publications

Privacy-Aware and Secure Decentralized Air Quality Monitoring

Privacy-Aware and Secure Decentralized Air Quality Monitoring

Electric vehicle regional management system based on the BSP model and multi-information fusion

The projector algorithm: A simple parallel algorithm for computing Voronoi diagrams and Delaunay graphs

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