Current Issue - March 2022, Volume 14, Number 2 - International Journal of Computer Networks & Communications (IJCNC)

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Performance Evaluation of Different Raspberry Pimodels as Mqttservers and ClientsFull Text Trent N. Ford, Eric Gamess and Christopher Ogden, Jacksonville State University, USA FLOC: Hesitant Fuzzy Linguistic Term Set Analysis in Energy Harvesting Opportunistic Clustering Using Relative Thermal Entropy and RF Energy TransferFull Text Junaid Anees and Hao-Chun Zhang, Harbin Institute of Technology, China Performance Analysis of MITA Interleaver on Hybrid Systems using DiversityFull Text Priyanka Agarwal1 and Manoj K Shukla2, 1Harcourt Butler Technical University, India, 2REC Kannauj, India A High Performance Hybrid Two Dimensional Spectral/Spatial NZCC/MD Code for SAC-OCDMA Systems with SDD DetectionFull Text Berber Redouane1, Bouasria Fatima1, Chetioui Mohammed1,2, Damou Mehdi1 and Boudkhil Abdelhakim1,2 1Dr. Moulay Tahar University of Saida, Algeria, 2Abu-Bakr Belkaid University of Tlemcen, Algeria Cognitive Radio Resource Scheduling using Multi-Agent Q-Learning for LTEFull Text Najem N. Sirhan and Manel Martinez-Ramon, University of New Mexico, USA A Proposed Fuzzy Logic Approach for Conserving the Energy of Data Transmission in the Temperature Monitoring Systems of the Internet of ThingsFull Text Noha Elqeblawy, Ammar Mohammed and Hesham A.Hefny, Cairo University, Egypt Constructing New Collective Signature Schemes Base on Two Hard Problems Factoring and Discrete LogarithmFull Text Tuan Nguyen Kim1, Nguyen Tran Truong Thien1, Duy Ho Ngoc2 and Nikolay A. Moldovyan3, 1Duy Tan University, Vietnam 2Department of Information Technology, Vietnam, 3SPIIRAS, Russia Energy Harvesting Rectenna Design for Enhanced Node Lifetime in WSNsFull Text Prakash K Sonwalkar1, 2 and Vijay Kalmani2, 1VTU, India, 2Jain College of Engineering, India

Engineering

International Journal of Computer Networks &
Communications (IJCNC)
ISSN 0974 - 9322 (Online) ; 0975 - 2293 (Print)
(Scopus, ERA, WJCI Listed)
https://airccse.org/journal/ijcnc.html
Current Issue: March 2022, Volume 14, Number 2
Performance Evaluation of Different Raspberry Pimodels as Mqttservers and Clients
Trent N. Ford, Eric Gamess and Christopher Ogden, Jacksonville State University, USA
FLOC: Hesitant Fuzzy Linguistic Term Set Analysis in Energy Harvesting Opportunistic
Clustering Using Relative Thermal Entropy and RF Energy Transfer
Junaid Anees and Hao-Chun Zhang, Harbin Institute of Technology, China
Performance Analysis of MITA Interleaver on Hybrid Systems using Diversity
Priyanka Agarwal1
and Manoj K Shukla2
, 1
Harcourt Butler Technical University,
India, 2
REC Kannauj, India
A High Performance Hybrid Two Dimensional Spectral/Spatial NZCC/MD Code for SAC-
OCDMA Systems with SDD Detection
Berber Redouane1
, Bouasria Fatima1
, Chetioui Mohammed1,2
, Damou Mehdi1
and
Boudkhil Abdelhakim1,2
, 1
Dr. Moulay Tahar University of Saida, Algeria, 2
Abu-Bakr
Belkaid University of Tlemcen, Algeria
Cognitive Radio Resource Scheduling using Multi-Agent Q-Learning for LTE
Najem N. Sirhan and Manel Martinez-Ramon, University of New Mexico, USA
A Proposed Fuzzy Logic Approach for Conserving the Energy of Data Transmission in the
Temperature Monitoring Systems of the Internet of Things
Noha Elqeblawy, Ammar Mohammed and Hesham A.Hefny, Cairo University, Egypt

Constructing New Collective Signature Schemes Base on Two Hard Problems Factoring
and Discrete Logarithm
Tuan Nguyen Kim1
, Nguyen Tran Truong Thien1
, Duy Ho Ngoc2
and Nikolay A.
Moldovyan3
, 1
Duy Tan University, Vietnam 2
Department of Information Technology,
Vietnam, 3
SPIIRAS, Russia
Energy Harvesting Rectenna Design for Enhanced Node Lifetime in WSNs
Prakash K Sonwalkar1, 2
and Vijay Kalmani2
, 1
VTU, India, 2
Jain College of Engineering,
India
https://airccse.org/journal/ijc2022.html

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Abstract nanotechnology

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Widespread placement and high data sampling rate of current generation of phase measurement units (PMUs) in wide area monitoring systems result in huge amount of data to be analysed and stored, making efficient storage of such data a priority. This paper presents a generalized compression technique that utilizes the inherent correlation within PMU data by exploiting both spatial and temporal redundancies. A two stage compression algorithm is proposed using principal component analysis in the first stage and discrete cosine transform in the second. Since compression parameters need to be adjusted to compress critical disturbance information with high fidelity, an automated but simple statistical change detection technique is proposed to identify disturbance data. Extensive verifications are performed using field data, as well as simulated data to establish generality and superior performance of the method. In our project we consider an ecosystem, Ecology plays an important role in agriculture crop rotation, weed control, management of grasslands, range management forestry, biological surveys, pest control, fishery biology, and in the conservation of soil, wildlife, forest, water supplies, water bodies like rivers, lakes and ponds, Collecting related features of living things in the ecosystem and creates a database. And applying the data extraction based on the conditions. Afterward, we propose a compression algorithm, called 2P2D, which exploits the obtained group movement patterns to reduce the amount of delivered data.

FR-Efficient Compression of PUM Data in WAMS

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Wireless sensor network is the combination of sensor nodes where sensor nodes are distributed all over the network. There are some challenges that come into the wireless sensor network n context to energy efficiency, network lifetime, storage and battery backup. The most important feature of a routing protocol, in order to be efficient for WSNs, is the energy consumption and the extension of the network’s lifetime. In this paper, we have analyzed various routing techniques for WSN that increases the network lifetime and energy consumption.

3. journal paper nov 10, 2017 ( dhyan)

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In this paper a new adaptive audio watermarking algorithm based on Empirical Mode Decomposition (EMD) is introduced. The audio signal is divided into frames and each one is decomposed adaptively, by EMD, into intrinsic oscillatory components called Intrinsic Mode Func-tions (IMFs). The watermark and the synchronization codes are embedded into the extrema of the last IMF, a low frequency mode stable under dif-ferent attacks and preserving audio perceptual quality of the host signal. The data embedding rate of the proposed algorithm is 46.9–50.3 b/s. Re-lying on exhaustive simulations, we show the robustness of the hidden wa-termark for additive noise, MP3 compression, re- quantization, filtering, cropping and resampling. The comparison analysis shows that our method has better performance than watermarking schemes reported recently.

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The AIRCC's International Journal of Computer Science and Information Technology (IJCSIT) is devoted to fields of Computer Science and Information Systems. The IJCSIT is a open access peer-reviewed scientific journal published in electronic form as well as print form. The mission of this journal is to publish original contributions in its field in order to propagate knowledge amongst its readers and to be a reference publication. IJCSIT publishes original research papers and review papers, as well as auxiliary material such as: research papers, case studies, technical reports etc.

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International Journal of Ubiquitous Computing (IJU) is a quarterly open access peer-reviewed journal provides excellent international forum for sharing knowledge and results in theory, methodology and applications of ubiquitous computing. Current information age is witnessing a dramatic use of digital and electronic devices in the workplace and beyond. Ubiquitous Computing presents a rather arduous requirement of robustness, reliability and availability to the end user. Ubiquitous computing has received a significant and sustained research interest in terms of designing and deploying large scale and high performance computational applications in real life. The aim of the journal is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.

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Deep learning (DL) has seen a massive rise in popularity for remote sensing (RS) based applications over the past few years. However, the performance of DL algorithms is dependent on the optimization of various hyperparameters since the hyperparameters have a huge impact on the performance of deep neural networks. The impact of hyperparameters on the accuracy and reliability of DL models is a significant area for investigation. In this study, the grid Search algorithm is used for hyperparameters optimization of long short-term memory (LSTM) network for the RS-based classification. The hyperparameters considered for this study are, optimizer, activation function, batch size, and the number of LSTM layers. In this study, over 1,000 hyperparameter sets are evaluated and the result of all the sets are analyzed to see the effects of various combinations of hyperparameters as well the individual parameter effect on the performance of the LSTM model. The performance of the LSTM model is evaluated using the performance metric of minimum loss and average loss and it was found that classification can be highly affected by the choice of optimizer; however, other parameters such as the number of LSTM layers have less influence.

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This paper is studied on the aspects of the intelligent electronic warfare in any action involving the use of EM spectrum to control the spectrum attack of an enemy or impede enemy assaults via the spectrum. The purpose of EW is to deny the opponent the advantage of and ensure friendly unimpeded access to the EM spectrum The principal EW activities have been developed over time to exploit the opportunities and vulnerabilities that are inherent in the physics of EM energy and now it is taking its new dimensions in the era of applying AI techniques and algorithms to make system intelligent .The EW is subdivided into EA, EP and EWS .The study of this paper is mainly focused on EWS measures to counter the electronic attack by the enemy to recognize the threat, targeting, planning and conduct of future operation. Basically these measures are taken out by the designed systems and trained operator to make electronic intercepts (ELINT) and then classify based known Signal Intelligence, to detect the return information to identify the unique characteristics of specific radar by the signals by the human operator can be susceptible to different natural, environmental and conscience of the present human operator. In this context estimation of the radar Antenna Scan Period (ASP) and recognition of the Antenna Scan Type (AST) is important measure in analysing level of threat from the radar.

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Among the crucial invention of the 5G is the device to device (D2D) system, whereby cellular gadgets correspond via immediate transfer or by multihop transfer excluding the ground-terminal. It is probable that D2D users are concurrent with human body network. Due to this, we suggested an internet of health things (IoHT) system which enables collaboration work among D2D users and human body indicators. We may regard the power as the most unique source in the wireless body area network (WBAN). The least needed transferring capacity may accomplish a particular degree of function, and minimum capacity for transfer holds a crucial responsibility in decreasing power usage. In this study, we discovered the needed transfer energy of four transferring modes: the straight transferring system, the double-hop transferring system, as well as double increasing coordinated transferring system with Rayleigh medium vanishing in its layout. Besides that, we suggested an energy-competent system named as efficient-power transmission mode selection-based (EPTMS) system. The suggested system chooses suitable transferring system whereby it offers the least needed transferring energy that assures a particular transfer duration. The statistical as well as simulation results shows that the two-master node cooperative protocols (TMNCP), EPTMS may enhance system conduction within the main criteria.

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