Inference Algorithm of Link Loss Rate Based on Network Resource Characteristics in Dynamic Carrier Network

2021 ◽  
pp. 1412-1421
Author(s):  
Yutu Liang ◽  
Jiajia Fu ◽  
Zhan Shi ◽  
Keqin Zhang
Keyword(s):  
Loss Rate ◽  
Inference Algorithm ◽  
Network Resource ◽  
Link Loss ◽  
Resource Characteristics

scholarly journals Link Loss Inference Algorithm with Network Topology Aware in Communication Networks

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Shunli Zhang
Keyword(s):  
Communication Networks ◽  
Network Topology ◽  
Packet Loss ◽  
Loss Rate ◽  
Pass Rate ◽  
Nonsingular Matrix ◽  
Estimation Accuracy ◽  
Inference Algorithm ◽  
Network Operation ◽  
Link Loss

When there are many suspected loss links, the links in the path with a higher pass rate are assumed to be nondrop packet links or assuming that the link with the largest number of shares is a loss link, but this assumption lacks valid proof. In order to overcome these shortcomings, this paper proposes a link loss inference algorithm with network topology aware. The network model is established based on the historical data of the network operation and network topology characteristics. A weighted relative entropy ranking method is proposed to quantify the suspected packet loss links in each independent subset. The packet loss rate of the packet loss link is obtained by solving the unique solution of the simplified nonsingular matrix. Through simulation experiments, it is verified that the proposed algorithm has achieved better results in terms of congestion link determination and link loss rate estimation accuracy.

A Precise Link Loss Inference Algorithm with Minimal Cover Set

2013 ◽  
Vol 34 (12) ◽  
pp. 2905-2912
Author(s):  
Jing-li Yang ◽  
Yong-hui Xu ◽  
Shou-da Jiang
Keyword(s):  
Inference Algorithm ◽  
Minimal Cover ◽  
Link Loss

Link Loss Inference Algorithm with Nonlinear Programming

2012 ◽  
Vol 34 (6) ◽  
pp. 1425-1431
Author(s):  
Ran Gu ◽  
Xue-song Qiu ◽  
Yan Qiao ◽  
Juan Li ◽  
Luo-ming Meng
Keyword(s):  
Nonlinear Programming ◽  
Inference Algorithm ◽  
Link Loss

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.

Time-varying network link loss rate tracking from unicast end-to-end measurements

2019 ◽  
Vol 32 (14) ◽  
pp. e4070
Author(s):  
Gaolei Fei ◽  
Tianbo Li ◽  
Guangmin Hu
Keyword(s):  
Loss Rate ◽  
Time Varying ◽  
Network Link ◽  
End To End ◽  
Link Loss
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