Wireless edge caching based on content similarity in dynamic environments

Wei, Xianglin; Liu, Jianwei; Wang, Yangang; Tang, Chaogang; Hu, Yongyang

doi:10.1016/j.sysarc.2021.102000

Cited by 54 publications

(33 citation statements)

References 21 publications

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“…e degree of difference between users starting to perform sensing tasks can be measured by the time difference between users participating in the task [20,21].…”

Section: Similarity Of Task Completion Timementioning

confidence: 99%

A Task Allocation Algorithm for Coal Mine Mobile Crowd Sensing Based on Weighted Undirected Graph

Wang

Chen

Jiang

et al. 2021

Security and Communication Networks

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Existing applications of mining intelligent mobile terminals are all for the sensing of individual terminals, without considering the group attributes of terminal carriers and the cooperation opportunities brought by terminal movement, which is unable to complete large-scale and complex sensing tasks. In this article, mobile crowd sensing and mine safety monitoring are combined to construct the mobile crowd sensing network for coal mine. Aiming at the task allocation problem, a task allocation mechanism based on a weighted undirected graph is proposed. First, considering the similarity of task completion location and time and quality of data collected, the reputation evaluation model of miners is designed. In order to optimize the reputation of miners participating in the task, an emergency task allocation algorithm based on the weighted undirected graph is proposed. Second, based on the fatigue degree of miners and the residual energy of intelligent mobile terminals, the miner status evaluation model is constructed, which is combined with the reputation model to design a nonemergency task allocation algorithm, aiming at further optimizing the task allocation results. The simulation results show that the proposed algorithm has better performance in allocation time for sensing task, task allocation success rate, average reputation, and status value of miners.

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“…e degree of difference between users starting to perform sensing tasks can be measured by the time difference between users participating in the task [20,21].…”

Section: Similarity Of Task Completion Timementioning

confidence: 99%

A Task Allocation Algorithm for Coal Mine Mobile Crowd Sensing Based on Weighted Undirected Graph

Wang

Chen

Jiang

et al. 2021

Security and Communication Networks

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“…In order to improve the makespan and execution cost, M. Yang et al put forward an evolutionary heuristic-based multiobjective task scheduling model for fog environment [32]. Caching is an effective way to reduce the execution delay of tasks in edge computing, and thus some novel caching strategies have been proposed by researchers [33][34][35].…”

Section: Related Workmentioning

confidence: 99%

Blockchain-Enhanced Fair Task Scheduling for Cloud-Fog-Edge Coordination Environments: Model and Algorithm

Cao

et al. 2021

Security and Communication Networks

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The cloud-fog-edge hybrid system is the evolution of the traditional centralized cloud computing model. Through the combination of different levels of resources, it is able to handle service requests from terminal users with a lower latency. However, it is accompanied by greater uncertainty, unreliability, and instability due to the decentralization and regionalization of service processing, as well as the unreasonable and unfairness in resource allocation, task scheduling, and coordination, caused by the autonomy of node distribution. Therefore, this paper introduces blockchain technology to construct a trust-enabled interaction framework in a cloud-fog-edge environment, and through a double-chain structure, it improves the reliability and verifiability of task processing without a big management overhead. Furthermore, in order to fully consider the reasonability and load balance in service coordination and task scheduling, Berger’s model and the conception of service justice are introduced to perform reasonable matching of tasks and resources. We have developed a trust-based cloud-fog-edge service simulation system based on iFogsim, and through a large number of experiments, the performance of the proposed model is verified in terms of makespan, scheduling success rate, latency, and user satisfaction with some classical scheduling models.

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“…Generally speaking, two methods have been proposed to extract features from time series data: statistical method and structural method. Statistical methods use quantitative features of data to extract features, while structural methods consider the relationship between data [29,30,32].…”

Section: Feature Extractionmentioning

confidence: 99%

Acceleration Feature Extraction of Human Body Based on Wearable Devices

et al. 2021

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Wearable devices used for human body monitoring has broad applications in smart home, sports, security and other fields. Wearable devices provide an extremely convenient way to collect a large amount of human motion data. In this paper, the human body acceleration feature extraction method based on wearable devices is studied. Firstly, Butterworth filter is used to filter the data. Then, in order to ensure the extracted feature value more accurately, it is necessary to remove the abnormal data in the source. This paper combines Kalman filter algorithm with a genetic algorithm and use the genetic algorithm to code the parameters of the Kalman filter algorithm. We use Standard Deviation (SD), Interval of Peaks (IoP) and Difference between Adjacent Peaks and Troughs (DAPT) to analyze seven kinds of acceleration. At last, SisFall data set, which is a globally available data set for study and experiments, is used for experiments to verify the effectiveness of our method. Based on simulation results, we can conclude that our method can distinguish different activity clearly.

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Wireless edge caching based on content similarity in dynamic environments

Cited by 54 publications

References 21 publications

A Task Allocation Algorithm for Coal Mine Mobile Crowd Sensing Based on Weighted Undirected Graph

A Task Allocation Algorithm for Coal Mine Mobile Crowd Sensing Based on Weighted Undirected Graph

Blockchain-Enhanced Fair Task Scheduling for Cloud-Fog-Edge Coordination Environments: Model and Algorithm

Acceleration Feature Extraction of Human Body Based on Wearable Devices

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