scholarly journals DEMON: preemptive route recovery for AODV in multi-hop wireless networks based on performance degradation monitoring

Author(s):  
Miguel Catalan-Cid ◽  
Carles Gomez ◽  
Josep Paradells ◽  
Jose Luis Ferrer
2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Pingping Dong ◽  
Jianxin Wang ◽  
Jiawei Huang ◽  
Haodong Wang ◽  
Yi Pan

The contention based medium access method of 802.11 standards is a fundamental cause of poor downlink goodput and high latency over wireless networks, which makes it impossible to provide QoS guarantees. The intensive channel contention leads to the performance degradation. The problem exacerbates when the traffic asymmetry between the uplink and the downlink is present. While prior research works proposed various mechanisms to alleviate the issue, little was done to specifically address the appropriate parameter setting in a real world network. This study presents a way to obtain the appropriate access parameters that improves the performance of QoS applications over wireless networks. In particular, we propose AQEDCA, a traffic-aware minimum contention window adjustment algorithm. We validate our scheme by the extensive real world network tests and the results show that our scheme improves the downlink goodput up to 199.13%, decreases the latency up to 54.77%, and can achieve tight QoS guarantees as compared to the existing schemes.


Author(s):  
Mohd Shahrizal Jasmani ◽  
Thomas Van Hardeveld ◽  
Mohd Faizal Bin Mohamed

Performance degradation monitoring of centrifugal compressor provides a means for the operators predict the behavior of their machines. Understanding the key principles in performance evaluation is essential for operators to benefit from this approach. In this paper, common performance degradation mechanisms found in centrifugal compressors for the oil and gas industry are outlined and related to their associated performance characteristics. Various analysis and evaluation techniques and approaches are elaborated with relevant requirements and assumptions for practical site application. A case study is also presented to demonstrate the application of performance degradation monitoring in a real-life operating environment. The benefits and limitations of the approach are also discussed. When combined with other condition monitoring approaches, this method provides a powerful tool to analyze and monitor centrifugal compressor performance which will then lead to useful recommendations for maintenance and operational interventions.


Author(s):  
Iñigo Lecuona ◽  
Rosa Basagoiti ◽  
Gorka Urchegui ◽  
Luka Eciolaza ◽  
Urko Zurutuza ◽  
...  

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Zhan Gao ◽  
Qi-guo Hu ◽  
Xiang-yang Xu

Residual useful lifetime (RUL) prediction plays a key role of failure prediction and health management (PHM) in equipment. Aiming at the problems of residual life prediction without comprehensively considering multistage and individual differences in equipment performance degradation at present, we explore a prediction model that can fit the multistage random performance degradation. Degradation modeling is based on the random Wiener process. Moreover, according to the degradation monitoring data of the same batch of equipment, we apply the expectation maximization (EM) algorithm to estimate the prior distribution of the model. The real-time remaining life distribution of the equipment is acquired by merging prior information of real-time degradation data and historical degradation monitoring data. The accuracy of the proposed model is demonstrated by analyzing a practical case of metalized film capacitors, and the result shows that a better RUL estimation accuracy can be provided by our model compared with existing models.


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