Real time network traffic monitoring for wireless local area networks based on compressed sensing

Mohammadreza Balouchestani

doi:10.1117/12.2261822

5 May 2017 Real time network traffic monitoring for wireless local area networks based on compressed sensing

Mohammadreza Balouchestani

Proceedings Volume 10211, Compressive Sensing VI: From Diverse Modalities to Big Data Analytics; 102110L (2017) https://doi.org/10.1117/12.2261822
Event: SPIE Commercial + Scientific Sensing and Imaging, 2017, Anaheim, CA, United States

Abstract

A wireless local area network (WLAN) is an important type of wireless networks which connotes different wireless nodes in a local area network. WLANs suffer from important problems such as network load balancing, large amount of energy, and load of sampling. This paper presents a new networking traffic approach based on Compressed Sensing (CS) for improving the quality of WLANs. The proposed architecture allows reducing Data Delay Probability (DDP) to 15%, which is a good record for WLANs. The proposed architecture is increased Data Throughput (DT) to 22 % and Signal to Noise (S/N) ratio to 17 %, which provide a good background for establishing high qualified local area networks. This architecture enables continuous data acquisition and compression of WLAN’s signals that are suitable for a variety of other wireless networking applications. At the transmitter side of each wireless node, an analog-CS framework is applied at the sensing step before analog to digital converter in order to generate the compressed version of the input signal. At the receiver side of wireless node, a reconstruction algorithm is applied in order to reconstruct the original signals from the compressed signals with high probability and enough accuracy. The proposed algorithm out-performs existing algorithms by achieving a good level of Quality of Service (QoS). This ability allows reducing 15 % of Bit Error Rate (BER) at each wireless node.

Conference Presentation

Citation Download Citation

Mohammadreza Balouchestani "Real time network traffic monitoring for wireless local area networks based on compressed sensing", Proc. SPIE 10211, Compressive Sensing VI: From Diverse Modalities to Big Data Analytics, 102110L (5 May 2017); https://doi.org/10.1117/12.2261822

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