scholarly journals Implementation of Bit Error Rate Model of 16-QAM in Aqua-Sim Simulator for Underwater Sensor Networks

2016 ◽  
pp. 123-134 ◽  
Author(s):  
Mohammed Jouhari ◽  
Khalil Ibrahimi ◽  
Mohammed Benattou
Keyword(s):  
Sensor Networks ◽  
Bit Error Rate ◽  
Error Rate ◽  
Underwater Sensor Networks ◽  
Rate Model

scholarly journals Performance Effects of Current Consumption on Radio Receiver Bit Error Rate in IEEE 802.15.4 for Wireless Sensor Networks

2014 ◽  
Vol 13 (9) ◽  
pp. 4868-4880
Author(s):  
Sukhvinder Singh Bamber
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Bit Error Rate ◽  
Error Rate ◽  
Ieee 802.15.4 ◽  
Performance Enhancement ◽  
Initial Energy ◽  
Wireless Sensor ◽  
Radio Receiver ◽  
Sleep Mode

This paper investigates the radio receiver Bit Error Rate (BER) at different types of devices in IEEE 802.15.4 Wireless Sensor Networks (WSNs) for the different current draw parameters: transmit mode, receive mode, sleep mode and idle mode keeping other parameters like: initial energy and power supply same for all motes; Clearly proving that if BER is to be taken into consideration for the performance enhancement then Z1 mote should be implemented in IEEE 802.15.4 WSNs as they produce minimal BER. 

scholarly journals METHODS OF MODELING WIRELESS SENSOR NETWORKS TOPOLOGY CONSIDERING INTERNODAL INTERFERENCE

2020 ◽  
Vol 2020 (3) ◽  
pp. 34-44
Author(s):  
Vladimir Vasilevich Fedorenko ◽  
Vladimir Valerevich Samoylenko ◽  
Daria Vladimirovna Alduschenko ◽  
Igor Vladimirovich Emelyanenko
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Topology ◽  
Bit Error Rate ◽  
Error Rate ◽  
Frequency Separation ◽  
Wireless Sensor ◽  
Reliability Indicator ◽  
Useful Signal ◽  
The Impact

The article presents the analysis of developing methods of wireless sensor networks (WSNs) topologies based on a graph structure. It indicates the prevalence of tolerance criteria for de-scribing the links between nodes, for example, the limiting distance of radio communication, a sufficient ratio of signal/energy (interference + noise). To consider the impact of inter-node interference on the network topology it is proposed to use the permissible values of bit error probabilities or erasing an information packet in case of distortion of at least one its elements as a criterion for stable communication. The algorithm for calculating an analytical model of internode communication channel is presented to evaluate the effect of intra-network additive and multiplicative noise on the reliability indicator of incoherent message reception in the form of a bit error rate. Expression for the coefficient of structural interaction of the received signal and the interference complex is obtained, which allows considering the dependence of bit error rate on the energy components of individual interference at the receiver input, frequency separation value of a signal and values of each disturbance, their phase shifts and the duration of the information bit. There has been considered practical application of the WSNs topology modeling technique for the internode communication channels with Rice fading of a useful signal and Rayleigh fading of an intra-network interference complex (a case study of using CC2500 modems as part of WSNs nodes). As a result of analysis, there have been determined the relations between nodes, for which the bit error rates do not exceed the allowable value established by requirements for channel capacity and the length of information packets. The presented modeling approach proves the possibility of improving the network topology due to developing the internode links by redistributing the frequency resource between the nodes or adjusting the operation modes of the modems.

Design and Implementation of NAND Simulator for Bit Error Rate Model

2017 ◽  
Vol 23 (12) ◽  
pp. 12780-12784
Author(s):  
Kijin Kim ◽  
Seung-Ho Lim
Keyword(s):  
Bit Error Rate ◽  
Error Rate ◽  
Rate Model ◽  
Design And Implementation

Efficient cooperative image transmission in one-way multi-hop sensor network

2018 ◽  
Vol 57 (4) ◽  
pp. 321-339 ◽  
Author(s):  
Bilal Al-Hayani ◽  
Haci Ilhan
Keyword(s):  
Wireless Sensor Networks ◽  
Wavelet Transform ◽  
Sensor Networks ◽  
Image Quality ◽  
Bit Error Rate ◽  
Error Rate ◽  
Image Transmission ◽  
Wireless Sensor ◽  
Discrete Wavelet ◽  
Relay Nodes

The challenging task while transmitting the high-quality images over the wireless sensor networks is to achieve the higher throughput, minimum bit error rate without compromising the image quality. As the sensor nodes have the limited processing power, designing energy efficient image transmission is another challenge in this research. This paper proposed a novel method of cooperative image transformation from the transmitter to the receiver for wireless sensor networks. We designed the methods for multi-hop one-way relayed cooperative communication model for wireless sensor networks. We believe that the cooperative communication helps to improve the efficiency of image transmission. The proposed approach focused on efficient relayed image transmission through wireless channels with optimum image quality and bit error rate performances. First, lightweight image quality improvement method was proposed at both transmitter and receiver end as images captured under various illumination conditions. Second, the proposed compressive sensing was performed using the approximation coefficient of 2D discrete wavelet transform. We utilized the wavelet denoising advantage by presenting the hybrid thresholding function. And third, use of decode–forward method at relay nodes to perform the task of decode and forward received image data block. The compressed approximation component of 2D discrete wavelet Transform is further used to apply inverse fast Fourier transform and then in modulation using quadrature phase shift keying to transmit over additive white Gaussian noise channel to relay nodes as per the standard orthogonal frequency-division multiplexing model. The simulation results claim the performance efficiency against the state-of-art methods based on mean square error, peak signal-to-noise ratio, and bit error rate.

Bit-Error-Rate Degradation Due to Inter-Channel Crosstalk of Different Signal Format

2019 ◽  
Vol E102.B (5) ◽  
pp. 1000-1004
Author(s):  
Naruki SHINOHARA ◽  
Koji IGARASHI ◽  
Kyo INOUE
Keyword(s):  
Bit Error Rate ◽  
Error Rate

ANALISIS SENSITIVITAS VIDEO MPEG-4 BERDASARKAN STRUKTUR FRAME PADA TRANSMISI DVB-T

2020 ◽  
Vol 25 (2) ◽  
pp. 86-97
Author(s):  
Sandy Suryo Prayogo ◽  
Tubagus Maulana Kusuma
Keyword(s):  
Deep Learning ◽  
Bit Error Rate ◽  
Error Rate ◽  
Signal To Noise Ratio ◽  
Similarity Index ◽  
Structural Similarity ◽  
Signal To Noise ◽  
Structural Similarity Index ◽  
Noise Ratio

DVB merupakan standar transmisi televisi digital yang paling banyak digunakan saat ini. Unsur terpenting dari suatu proses transmisi adalah kualitas gambar dari video yang diterima setelah melalui proses transimisi tersebut. Banyak faktor yang dapat mempengaruhi kualitas dari suatu gambar, salah satunya adalah struktur frame dari video. Pada tulisan ini dilakukan pengujian sensitifitas video MPEG-4 berdasarkan struktur frame pada transmisi DVB-T. Pengujian dilakukan menggunakan simulasi matlab dan simulink. Digunakan juga ffmpeg untuk menyediakan format dan pengaturan video akan disimulasikan. Variabel yang diubah dari video adalah bitrate dan juga group-of-pictures (GOP), sedangkan variabel yang diubah dari transmisi DVB-T adalah signal-to-noise-ratio (SNR) pada kanal AWGN di antara pengirim (Tx) dan penerima (Rx). Hasil yang diperoleh dari percobaan berupa kualitas rata-rata gambar pada video yang diukur menggunakan metode pengukuran structural-similarity-index (SSIM). Dilakukan juga pengukuran terhadap jumlah bit-error-rate BER pada bitstream DVB-T. Percobaan yang dilakukan dapat menunjukkan seberapa besar sensitifitas bitrate dan GOP dari video pada transmisi DVB-T dengan kesimpulan semakin besar bitrate maka akan semakin buruk nilai kualitas gambarnya, dan semakin kecil nilai GOP maka akan semakin baik nilai kualitasnya. Penilitian diharapkan dapat dikembangkan menggunakan deep learning untuk memperoleh frame struktur yang tepat di kondisi-kondisi tertentu dalam proses transmisi televisi digital.

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