Vinay Kumar Pamula

Scopus Publications

Performance-aware deployment of heterogeneous sensors in wireless sensor networks via multi-objective NSPSO
Kaki Ramya Sree, Vinay Kumar Pamula
Microsystem Technologies, 2026
Geometrically Efficient Sensor Placement for Enhanced Coverage in Wireless Sensor Networks Using Spatial Arrangement Algorithms
Kaki Ramya Sree, Vinay Kumar Pamula
International Journal of Distributed Sensor Networks, 2026
Sensor placement is important for wireless sensor networks (WSNs) to obtain high coverage and energy efficiency. This paper presents a hybrid sensor deployment approach, in which circle packing theory is combined with an energy‐efficient clustering algorithm (LEACH‐C) for enhanced sensor coverage and energy efficiency. The proposed scheme is based on leveraging the geometric compactness of hexagonal spatial arrangements to decrease redundancy and communication overhead rather than conventional region‐based or metaheuristic‐based approaches. By applying LEACH‐C clustering, the network lifetime is improved via load balancing between nodes. Based on extended statistical and simulation‐based data, this approach shows better performance than classical placement methods in coverage efficiency, network longevity, and scalability. This method allows connecting geometric deployment models and practical applications of WSN while providing a scalable foundation for smart cities, environmental monitoring, and industrial automation applications.
IoT-Based Real-Time Water Quality Monitoring System for Natural Water Bodies
Sravanthi Bondada, Vinay Kumar Pamula
2026 IEEE Bangalore Humanitarian Technology Conference B Htc 2026, 2026
Continuous monitoring of natural water bodies is essential for protecting aquatic ecosystems and ensuring sustainable water resource management. However, conventional laboratory-based testing methods are time consuming and unable to provide real-time insights during dynamic environmental changes. This paper presents the design and implementation of an Internet of Things (IoT)-based real time water quality monitoring system for natural water bodies. The proposed system integrates an Espressif System 32-bit (ESP32) microcontroller with multi-parameter sensors to measure potential of hydrogen (pH), total dissolved solids (TDS), turbidity, temperature, and water level, along with Global Positioning System (GPS)-based geo-tagging and Firebase cloud connectivity. A dual-storage mechanism using a Secure Digital (SD) card ensures uninterrupted data logging during network failures. The system was experimentally validated at Vadrevupally Pond, Manepalli Lake, and the Godavari River under both normal and flood conditions. Results demonstrate accurate real-time detection of spatial and temporal variations in water quality and effective classification of drinking and aquaculture suitability. The proposed solution is low-cost, portable, and suitable for rural and dynamic environmental monitoring applications.
Learning Emotions Across Modalities Through Hybrid Deep Representation Fusion
Vanka Shireesha, Vinay Kumar Pamula, P. Satyanarayana Murty
7th International Conference on Innovative Trends in Information Technology Icitiit 2026, 2026
The recognition of emotion is an important element of emotion-aware intelligent systems, and unimodal methods are characterized by ambiguity and poor robustness. This paper refers to a hybrid deep learning model of multimodal emotion recognition that combines visual, audio, textual and physiological electrocardiogram (ECG) data to obtain correct and dependable emotion identification. The suggested framework uses modalityspecific deep feature extraction networks, which are utilized to retain discriminative emotional signals of every input modality. In order to fully utilise the complementary information, a hybrid fusion method is proposed, integrating feature-level and decisionlevel fusion in order to improve inter-modal representation learning. Decades of experiments on benchmark emotion datasets show that the suggested multimodal framework is always more efficient than unimodal and traditional fusion-based techniques in various categories of emotions. The findings indicate that hybrid fusion is efficient and that the addition of physiological signals will be valuable in the practical context of robust emotion recognition.
Energy aware cluster-based routing in WSN using hybrid pelican-blue monkey optimization algorithm
Nageswararao Malisetti, Vinay Kumar Pamula
Evolutionary Intelligence, 2024
Efficient EEG motion artifact elimination framework for ambulatory epileptic seizure detection application
Murali Krishna Y, Vinay Kumar P
Biomedical Physics and Engineering Express, 2024
Motion artifacts are a pervasive challenge in EEG ambulatory monitoring, often obscuring critical neurological signals and impeding accurate seizure detection. In this study, we propose a new approach of outlier based grouping of two level Singular Spectrum Analysis (SSA) decomposition combined with Relative Total Variation (RTV) filter for the effective removal of motion-induced noise from ambulatory EEG data. A two-stage SSA method was employed to decompose single-channel EEG signal, which had been interfered with, into various fre quency bands. The affected sub-band signal was then subjected to an RTV filter to estimate the artifact signal. Subtracting this estimated artifact signal from the contaminated sub-band signal yielded the filtered sub-band signal. Subse quently, the filtered sub-band signal was reintegrated with the other decomposed components from noise-free bands, culminating in the generation of the ultimate denoised EEG signal. Based on the comprehensive set of simulation results, it can be deduced that the algorithm described in the paper outperforms existing methods. It demonstrates superior metrics evaluation in terms of ΔSNR, η , MAE, and PSNR when compared to these alternatives. Our framework sig- nificantly enhances the quality of EEG data by successfully eliminating motion artifacts while preserving crucial brainwave information. To evaluate the prac tical impact of this noise reduction technique, we assess its performance in the context of seizure detection. The results reveal a substantial improvement in the accuracy and reliability of seizure detection algorithms when applied to EEG data preprocessed with proposed method.
Performance of Periodic Nonlinear Weighted Jaya Optimization Algorithm for Energy Efficient Cluster Based Routing in WSNs
Nageswararao Malisetti, Vinay Kumar Pamula
2024 IEEE 21st India Council International Conference Indicon 2024, 2024
The world of intelligent networks is significantly influenced by the internet of things (IoT). These technologies rely on a wireless sensor network (WSN) as a perception layer to gather the desired data. The challenge is the limited energy consumption required for processing and communication, as this data is transformed into information and transmitted to cloud servers via a base station. Energy use in sensor nodes becomes a crucial design problem in WSN since it is very hard for them to replace or recharge their batteries. For the network with limited energy, the clustering strategy is essential for power conservation. The network's load may be balanced, energy consumption can be reduced, and lifetime can be increased by selecting the right Cluster Head (CH). Based on the Periodic Nonlinear Weighted Jaya optimization method (PNLWJaya), a CH election strategy is put forward in this study. Thanks to the addition of nonlinear weight, the original Jaya method performs better when compared to the suggested Periodic Non-Linear Weighted Jaya optimization algorithm. The suggested technique is contrasted with a few benchmark methods for CH selection in terms of energy usage and sensor network lifetime. Based on simulation results, a CH selection scheme based on a Periodic Non-Linear Weighted Jaya optimization algorithm is more successful than LEACH, LEACH-E, PSO-C, and the original Jaya method by 85%, 75%, 65%, and 12%, respectively, in terms of network longevity.
Implementation of Memristor-Inspired Amplifier in Digital Logic Circuits
Venga Babu Veturi, Vinay Kumar Pamula
Iemecon 2024 12th International Conference on Internet of Everything Microwave Embedded Communication and Networks, 2024
In this paper, we present the design, implementation, and evaluation of digital logic circuits using memristor-based technology. The focus is on basic gates, a 2 × 1 multiplexer (MUX), a full adder, a full subtractor, and an amplifier, all implemented using the Cadence Virtuoso platform. The memristor model employed here shows significant improvements in power efficiency, area reduction, and speed compared to traditional 45-nm CMOS technologies. Our results demonstrate that memristor-based circuits can achieve up to 71.4% reduction in area, 40% reduction in power consumption, and 54% reduction in delay, highlighting the potential of memristor technology for future low-power, high-performance digital systems.
Efficient automated method to extract EOG artifact by combining Circular SSA with wavelet and unsupervised clustering from single channel EEG
Murali Krishna Y., Vinay Kumar P.
Biomedical Signal Processing and Control, 2024
S-CIEL ∗a∗b∗ Based Quality Assessment of Images Restored from Non-Gaussian-Noise-Corrupted-Images and Non-Linear-Bilateral-Kernel Based Restoration
Prabhakar Rao Barre, Shraddha Prasad, Vinay Kumar Pamula, Raja Rao Chatla, Mahendra Babu Duddu, John Paul Pulipati
Proceedings of 2024 IEEE International Women in Engineering Wie Conference on Electrical and Computer Engineering Wiecon Ece 2024, 2024
Most widely used image-quality-assessment- metrics viz., Cumulative Minimum-Mean-Square-Error (CMMSE) and Cumulative Peak-Signal-to-noise-ratio (CPSNR) do not satisfactorily measure the quality of image-restoration. As it is an observed empirical fact amongst the fraternity of researchers that a difference of ten or even twenty percentage in SNR may not at all translate into any difference in the perceivable image quality. And, by some construction, images that have similar PSNR but of drastically different attributes can conceivably created. This challenge is addressed empirically in this study by using S-CIEL*a*b* image-assessment-quality-metrics. Of course, spatially extended CIEL*a*b* (S-CIEL*a*b*) is primarily used to represent colors numerically and to calculate the color differences for the scholarly reason that the human vision can perceive millions of color differences; but no technology can meaningfully replicate the ability of human eye as closer as the CIEL*a*b* can perform. Another unique feature of the research study is that the restoration is achieved from the non-Gaussian-noise-corrupted-natural images. It is an observed fact that linear filters blur the restored image; here in this investigative study the non-linear-bilateral filter technique is implemented in order to establish the superior performance of the said assumptions and objectives of the study. The standard datasets are used for carrying the experimentation.
Design and System Performances of 4-Port Wideband MIMO Antenna
Varakumari Samudrala, Vinay Kumar Pamula
Aip Conference Proceedings, 2023
Design and System Performance of 2-Port MIMO Antenna for 4G/LTE/WiMAX Applications
Varakumari Samudrala, Vinay Kumar Pamula
Aip Conference Proceedings, 2023
Energy efficient cluster based routing for wireless sensor networks using moth levy adopted artificial electric field algorithm and customized grey wolf optimization algorithm
Nageswararao Malisetti, Vinay Kumar Pamula
Microprocessors and Microsystems, 2022
An Efficient Framework to Automatic Extract EOG Artifacts from Single Channel EEG Recordings
Murali Krishna Yadavalli, Vinay Kumar Pamula
Spcom 2022 IEEE International Conference on Signal Processing and Communications, 2022
A 12T SRAM of 16 nm CMOS Technology Using One Sided Schmitt Trigger Inverter and Read Port
Komaladitya Challa, Vinay Kumar Pamula
Lecture Notes in Electrical Engineering, 2022
Design and development of 3D printed MIMO RDRA with two directional pattern diversity for LTE applications
Varakumari Samudrala, Vinay Kumar Pamula
Frequenz, 2020
Channel Estimation Using Adaptive Cuckoo Search Based Wiener Filter
Gopala Krishna Mellempudi, Vinay Kumar Pamula
Communications in Computer and Information Science, 2020
Performance of Quasi Oppositional Butterfly Optimization Algorithm for Cluster Head Selection in WSNs
Nageswara Rao Malisetti, Vinay Kumar Pamula
Procedia Computer Science, 2020
Error rate analysis of MPSK signals over fluctuating beckmann fading channel
S.S. Jaya Surya Devarakonda, Vinay Kumar Pamula
2019 International Conference on Wireless Communications Signal Processing and Networking Wispnet 2019, 2019
Image Registration using Hampel and Modified Hampel M-estimators
Rajeev Kumar Kanneganti, Vinay Kumar Pamula
2018 International Conference on Advances in Computing Communications and Informatics Icacci 2018, 2018
DC motor speed control using PID controller tuned by jaya optimization algorithm
Ravi Kiran Achanta, Vinay Kumar Pamula
IEEE International Conference on Power Control Signals and Instrumentation Engineering Icpcsi 2017, 2018
Jaya optimization algorithm based multiuser detector over generalized-K fading channels
Sravani Yenduri, Vinay Kumar Pamula, Anil Kumar Tipparti
2017 International Conference on Advances in Computing Communications and Informatics Icacci 2017, 2017
Design of optimal digital FIR filters using TLBO and Jaya algorithms
Duttu P. V. S. V. S. Chilamkurthi, Gopi C. Tirupatipati, J. Sulochanarani, Vinay K. Pamula
Proceedings of the 2017 IEEE International Conference on Communication and Signal Processing Iccsp 2017, 2017
Performance analysis of decimal matrix code and modified decimal matrix code
Naveen Kumar Yedere, Vinay Kumar Pamula
2016 IEEE International Conference on Computational Intelligence and Computing Research Iccic 2016, 2017
Comparison of different optimization algorithms with two stage initialization for PID controller tuning in automatic voltage regulator system
Manasa Madhavi Puralachetty, Vinay Kumar Pamula, Venkata Naresh Babu Akula
2016 IEEE Students Technology Symposium Techsym 2016, 2017
Multiuser detection over generalized-K fading channels using two-stage initialized teaching learning based optimization
Lakshmi Manasa Gondela, Vinay Kumar Pamula, Anil Kumar Tipparti
2016 International Conference on Advances in Computing Communications and Informatics Icacci 2016, 2016
Differential evolution and particle swarm optimization algorithms with two stage initialization for PID controller tuning in coupled tank liquid level system
Manasa Madhavi Puralachetty, Vinay Kumar Pamula
Icarm 2016 2016 International Conference on Advanced Robotics and Mechatronics, 2016
Teaching-learning-based optimization with two-stage initialization
Manasa Madhavi Puralachetty, Vinay Kumar Pamula, Lakshmi Manasa Gondela, Venkata Naresh Babu Akula
2016 IEEE Students Conference on Electrical Electronics and Computer Science Sceecs 2016, 2016
Outage performance of L-MRC diversity scheme over equally correlated η-μ Fading channels
N D Malleswara R. Jana, K N V S Sai G. Singaraju, Vinay K. Chilaka, Vinay K. Pamula
2015 International Conference on Communication and Signal Processing Iccsp 2015, 2015
Performance analysis of selection combining diversity scheme in generalised Rayleigh fading channels
Sirisha Malluri, Vinay K. Pamula
International Conference on Communication and Signal Processing Iccsp 2014 Proceedings, 2014
Multiuser detection for MIMO DS-CDMA system in impulsive noise over Nakagami-m fading channels
Srinivasa Rao Vempati, Habibulla Khan, Vinay Kumar Pamula, Anil Kumar Tipparti
International Conference on Digital Signal Processing DSP, 2014
Outage performance analysis of basic receive diversity combining schemes in Nakagami-0.5 fading channel
Vinay Kumar Pamula, Habibulla Khan, Srinivasa Rao Vempati, Anil Kumar Tipparti
Midwest Symposium on Circuits and Systems, 2013
Multiuser detection for DS-CDMA systems over Nakagami-m fading channels using particle swarm optimization
V. K. Pamula, S. R. Vempati, H. Khan, A. K. Tipparti
Proceedings 2013 IEEE 9th International Colloquium on Signal Processing and Its Applications Cspa 2013, 2013
Gaussian Q-function and its approximations
S. Malluri, V. K. Pamula
Proceedings 2013 International Conference on Communication Systems and Network Technologies Csnt 2013, 2013
Blind multiuser detection in nakagami-m fading channels with impulsive noise
S. R. Vempati, V. K. Pamula, H. Khan, A. K. Tipparti
Proceedings International Conference on Intelligent Systems Modelling and Simulation Isms, 2013
Performance analysis of linear diversity combining schemes on Nakagami-0.5 fading channels
Vinay Kumar Pamula, Srinivasa Rao Vempati, Habibulla Khan, Anil Kumar Tipparti
IEEE Icsipa 2013 IEEE International Conference on Signal and Image Processing Applications, 2013
Robust blind multiuser detection in DS-CDMA systems over Nakagami-m fading channels with impulsive noise including MRC receive diversity
Vinay Kumar Pamula, Srinivasa Rao Vempati, Habibulla Khan, Anil Kumar Tipparti
6th International Conference on Signal Processing and Communication Systems Icspcs 2012 Proceedings, 2012
A robust technique for multiuser detection in the presence of signature uncertainties
Peccs 2012 Proceedings of the 2nd International Conference on Pervasive Embedded Computing and Communication Systems, 2012
Bit error probability of M-ary PSK with MRC diversity reception over Nakagami-m fading channel using simple bounds on Gaussian Q-function
Vinay Kumar Pamula, Srinivasa Rao Vempati, Anil Kumar Tipparti
Lecture Notes in Electrical Engineering, 2011