IEEE 802.11a Throughput Performance with Hidden Nodes

2008 ◽  
Vol 12 (6) ◽  
pp. 465-467 ◽  
Author(s):  
O. Ekici ◽  
A. Yongacoglu
Keyword(s):  
Throughput Performance ◽  
Ieee 802.11A ◽  
Hidden Nodes

scholarly journals Application of Bat Algorithm for The Detection of Hidden Nodes in IEEE802.11ah Networks

2019 ◽  
Vol 18 (1) ◽  
pp. 11-15 ◽  
Author(s):  
Kofoworola Fapohunda ◽  
Eberechukwu Numan Paulson ◽  
Zubair Suleiman ◽  
Oladimeji Saliu ◽  
David Michael ◽  
...  
Keyword(s):  
Ieee 802.11 ◽  
Power Saving ◽  
Bat Algorithm ◽  
Ieee 802.11A ◽  
Hidden Node ◽  
Power Saving Mode ◽  
Saving Mode ◽  
Node Problem ◽  
Mode A ◽  
Hidden Nodes

Hidden node problem sometimes referred to as frequent packets collision that mostly leads to loss of packets is no longer new in wireless networks because it affects the previous IEEE802.11 standards. The new IEEE802.11ah standard which is also a sub-standard of IEEE 802.11 is no exemption. As a matter of fact, IEEE802.11ah suffers from a hidden node problem more than networks (IEEE 802.11a/b/n/ac) due to their wider coverage which is up to 1km, high number of devices they can support (over 8000 nodes to one AP) and frequent simultaneous sleeping and sending of the nodes (power saving mode). A few researchers have worked on this hidden node problem in IEEE802.11ah but could not get a lasting solution to it. Therefore, this paper proposes an algorithm which detects hidden nodes and also proposes a theoretical solution based on previous works which was also experimentally verified through the BIHD-CM.

Proposal of Capacity Analysis in Wireless Sensor Networks with Multi-Hop Transmissions and Hidden Nodes

2015 ◽  
Vol E98.B (9) ◽  
pp. 1749-1757
Author(s):  
Yun WEN ◽  
Kazuyuki OZAKI ◽  
Hiroshi FUJITA ◽  
Teruhisa NINOMIYA ◽  
Makoto YOSHIDA
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Capacity Analysis ◽  
Hidden Nodes

Measured Downlink Throughput Performance of MBWA System in Urban Area

2013 ◽  
Vol E96.B (1) ◽  
pp. 329-334 ◽  
Author(s):  
Suguru KAMEDA ◽  
Hiroshi OGUMA ◽  
Noboru IZUKA ◽  
Yasuyoshi ASANO ◽  
Yoshiharu YAMAZAKI ◽  
...  
Keyword(s):  
Urban Area ◽  
Throughput Performance ◽  
Downlink Throughput

Rancang Bangun Sistem Pakar Prediksi Stres Belajar Dengan Neural Network Algoritma Backpropagation

2016 ◽  
Vol 7 (2) ◽  
pp. 105-112
Author(s):  
Adhi Kusnadi ◽  
Idul Putra
Keyword(s):  
Neural Network ◽  
Expert System ◽  
Stress Level ◽  
Network Structure ◽  
Human Being ◽  
Accuracy Rate ◽  
Backpropagation Algorithm ◽  
Stress Prediction ◽  
Index Terms ◽  
Hidden Nodes

Stress will definitely be experienced by every human being and the level of stress experienced by each individual is different. Stress experienced by students certainly will disturb their study if it is not handled quickly and appropriately. Therefore we have created an expert system using a neural network backpropagation algorithm to help counselors to predict the stress level of students. The network structure of the experiment consists of 26 input nodes, 5 hidden nodes, and 2 the output nodes, learning rate of 0.1, momentum of 0.1, and epoch of 5000, with a 100% accuracy rate. Index Terms - Stress on study, expert system, neural network, Stress Prediction

Throughput Performance Prediction Approach for Wi-Fi Site Surveys

2021 ◽  
Author(s):  
Akihiro Tatsuta ◽  
Yasunori Shimazaki ◽  
Teppei Emura ◽  
Takuya Asada ◽  
Taichi Hamabe
Keyword(s):  
Performance Prediction ◽  
Throughput Performance ◽  
Prediction Approach

scholarly journals Kilogram scale throughput performance of the KATRIN tritium handling system

2021 ◽  
Vol 170 ◽  
pp. 112507
Author(s):  
Michael Sturm ◽  
Florian Priester ◽  
Marco Röllig ◽  
Carsten Röttele ◽  
Alexander Marsteller ◽  
...  
Keyword(s):  
Throughput Performance ◽  
Handling System
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