scholarly journals Joint Computing and Network Resource Scheduling in a Lambda Grid Network

2009 ◽  
Author(s):  
V. Lakshmiraman ◽  
B. Ramamurthy
Keyword(s):  
Resource Scheduling ◽  
Network Resource ◽  
Grid Network

scholarly journals A Resource Scheduling Strategy for WSN with Communication Constrained

2018 ◽  
Vol 175 ◽  
pp. 03032
Author(s):  
Kuan Li ◽  
Xiaoquan Xu
Keyword(s):  
Energy Consumption ◽  
State Estimation ◽  
Resource Scheduling ◽  
Data Packet ◽  
Communication Link ◽  
Network Resource ◽  
Transmission Bandwidth ◽  
Link Loss ◽  
Optimal State Estimation ◽  
The Impact

Due to the loss of wireless communication link, the remote estimator in the wireless sensor network can only receive part of the observation information or can not be completely received, which reduces the accuracy of the state estimation. Focusing on the above problems, a strategy based on network resource scheduling is proposed to improve the impact of link loss on state estimation. The strategy considers the quantization process of sensor observations and the limited transmission bandwidth. The objective of optimization is to minimize the estimated error covariance and the expected energy consumption of the data packet. The data rate and the time slot are allocated to each communication link. The simulation results show that the optimal state estimation of the physical process can be obtained under a small transmission bandwidth and simple BPSK modulation, and the energy consumption of the transmitted data packet can be effectively reduced.

scholarly journals Actor-Critic Wavelet Neural Network based Scheduler Technique for LTE-Advanced

2020 ◽  
Vol 8 (5) ◽  
pp. 4856-4863
Keyword(s):  
Neural Network ◽  
Reinforcement Learning ◽  
Large Scale ◽  
Simulation Analysis ◽  
Resource Scheduling ◽  
Wavelet Neural Network ◽  
Time Interval ◽  
Sigmoid Function ◽  
Network Resource ◽  
Actor Network

This work presents an efficient and intelligent resource scheduling strategy for the Long Term EvolutionAdvanced (LTE-A) downlink transmission using Reinforcement learning and wavelet neural network. Resource scheduling in LTE-A suffers the problem of uncertainty and accuracy for large scale network. Also the performance of scheduling in conventional methods solely depends upon the scheduling algorithm which was fixed for the entire transmission session. This issue has been addressed and resolved in this paper through Actor-Critic architecture based reinforcement learning to provide the best suited scheduling method out of the rule set for every transmission time interval (TTI) of communication. The actor network will take the decision on scheduling and the critic network will evaluate this decision and update the actor network adaptively through the optimal tuning laws so as to get the desired performance in scheduling. Wavelet neural network(WNN) is derived here by using wavelet function as activation function in place of sigmoid function in conventional neural network to attain better learning capabilities, faster convergence and efficient decision making in scheduling. The actor and critic networks are created through these WNNs and are trained with the LTE parameters dataset. The efficacy of the presented work is evaluated through simulation analysis.

A Scheduler Design for Coordinating Network Control System Load with Redundancy

2014 ◽  
Vol 898 ◽  
pp. 624-628
Author(s):  
Zheng Fu Peng ◽  
Wei Huang ◽  
Juan Liu ◽  
Yue Yue Lv
Keyword(s):  
Control System ◽  
Real Time ◽  
Resource Scheduling ◽  
Network Control ◽  
Network Control System ◽  
Network Resource ◽  
Real Time Scheduling ◽  
Quality Of Control ◽  
Network Load

For a network control system (NCS) with redundancy structure, this paper designs a network scheduler, which can coordinate network load and support redundancy to enhance system availability, safety and reliability. Considering the Quality of Service (QoS) and the Quality of Control (QoC) to constitute the objective function of network resources scheduling, the scheduler uses fuzzy system to establish the network resource scheduling strategy, which dynamically decides communication channels of network control loops by calculating online and real-time scheduling. The scheduler can improve real-time performance and availability of the NCS, and quickly switch redundancy network under fault conditions to ensure reliability of the NCS. At last, the experiment results demonstrate that the proposed scheduler meets the requirements of the resource scheduling and redundancy network, and can effectively improve the performance of the NCS when network load increases.

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