A5049152383- Energy Efficient Wireless Sensor Networks
- Metaheuristic Optimization Algorithms Research
- Optical Network Technologies
- Indoor and Outdoor Localization Technologies
- Underwater Vehicles and Communication Systems
- Energy Harvesting in Wireless Networks
- Advanced Adaptive Filtering Techniques
- Advanced Photonic Communication Systems
- Advanced Multi-Objective Optimization Algorithms
- Digital Filter Design and Implementation
- Advanced Optical Network Technologies
- Advanced Control Systems Design
- Water Quality Monitoring Technologies
- IoT-based Smart Home Systems
- Antenna Design and Analysis
- Evolutionary Algorithms and Applications
- Extremum Seeking Control Systems
- Cloud Data Security Solutions
- Innovative Energy Harvesting Technologies
- IoT and Edge/Fog Computing
- Blockchain Technology Applications and Security
- Antenna Design and Optimization
- Fuzzy Logic and Control Systems
- Image and Signal Denoising Methods
- Chalcogenide Semiconductor Thin Films
Punjabi University
2015-2024
Lovely Professional University
2014-2024
DAV University
2017-2018
Federation University
2015
Sant Longowal Institute of Engineering and Technology
2012-2013
Wireless sensor networks (WSNs) have aroused the conspectus attention of scholars due to their extensive deployment in emerging fields Internet Things (IoT's) and self-driven devices. But WSNs technologies having a major bottleneck has been associated with limited energy. Mostly research focused on minimizing energy usage extend survival time power source network. Energy harvesting can be addressing its energy-scarcity problem WSNs, so it is giving popularity Harvesting Sensor Networks...
Localization is one of the most important factors highly desirable for performance Wireless Sensor Network (WSN).Localization can be stated as estimation location sensor nodes in network.In applications WSN, data gathered at sink node will meaningless without localization information nodes.Due to size and complexity problem, it formulated an optimization problem thus approached with algorithms.In this paper, nature inspired algorithms are used analyzed optimal nodes.The viz.Flower...
Wireless sensors are the basic requisite of today's smart infrastructure based on internet things (IoTs), 5G and wireless sensor networks (WSNs). WSNs widely used in industrial applications, precision agriculture animal tracking systems, environment monitoring, grids, energy control buildings entertainment industry etc. The distributed dynamic scheme establishes very unique demands developing clustering routing protocols. In order to meet demand efficient WSNs, most important requirement is...
This paper proposes a Distance and Levy-flight based Crow Search Algorithm (DLCSA) for optimization of three Fractional-order controllers: Fractional Order Proportional-Integral-Derivative (FOPID), Proportional-Integral (FOPI) Proportional-Derivative (FOPD) controllers. Novelties the proposed method are fourfold; (a) distance-based Flight length (Dfl)to improve convergence rate, (b) evasion to efficiency algorithm, (c)adaptive awareness probability(AP) set tradeoff between local global...
The objective of this paper is to review the different existing optimization techniques that are used overcome localization issue in wireless sensor network. Wireless networks made up devices placed huge quantity over a large geographical region perform several tasks like sensing data and communicate with other devices. Most applications forest fire detection required exact position element. aim process allocate coordinates every node unidentified location area. In various for localizing...
The paper develops a technique for the robust and stable design of digital infinite impulse response (IIR) filters.As error surface IIR filters is generally mu lti-modal, g lobal optimization techniques are required to efficient filter in order avoid local minima.In this real-coded genetic algorithm (RCGA ) with arith meticaverage-bound-blend crossover wavelet mutation applied filter.A lticriterion emp loyed as criterion obtain optimal that satisfies different performance requirements like...
A solution methodology for the design of digital infinite impulse response (II R) filter considering multiple conflicting objectives has been proposed. The nucleus method is that can be attuned suitably, to optimize performance in pass bands, stop bands and transition IIR filters. p roposed uses multiobjective optimization approach designing stable using real-coded genetic algorithm (RCGA). Digital filters are designed by minimizing magnitude phase simultaneously, weighted sum approach....
Objectives: Determining the level of strength patients’ body is essential for an Ayurvedic Physician to provide appropriate dose medicines them. The proposed work a stepping stone towards vigilant and proper diagnosis that will surely leads efficacious treatment. Methods/Statistical Analysis: A fuzzy logic based expert system designed calculate quality seven tissues (Lymph, Blood, Muscle, Fat tissue, Bone, Bone Marrow, Reproductive tissues) mind human body. Based on overall computed. All...
This paper proposes a new control law for designing an optimal proportional-integral-derivative (PID) controller flexible automatic voltage regulator (AVR) system using modified neural network algorithm (MNNA). First, the exploration capability of (NNA) is enhanced by addition learning factor, α in MNNA. Then, to evaluate performance MNNA terms its and exploitation capabilities, extensive statistical analysis has been carried out on 23 benchmark functions consisting unimodal, multimodal...
Underwater Wireless Sensor Networks (UWSNs) have become increasingly important due to their critical roles in marine life monitoring, communication, ocean data collection, sampling, and military security operations. The success of UWSNs largely depends on efficient node deployment techniques that ensure optimal coverage, connectivity, cost-effectiveness, network lifetime, energy utilization. This paper presents a comprehensive review various types specifically designed for UWSNs. It covers...
Firefly algorithm is a powerfulalgorithm, however, it may show inferior convergence rate towards global optimum because the optimization process of firefly depends upon on random quantity that facilitates fireflies to explore search space at cost exploitation. As result, improve performance in terms even as its ability exploit solutions preserved, altered using two different approaches this research work. In first approach, local strategy, i.e., classical unidimensional employed order...
Cloud computing is a revolutionary movement in the area of IT industry that provides storage, power, network and software as an abstraction service, on demand over internet, which enables its clients to access these services remotely from anywhere, anytime via any terminal equipment. Since cloud has modified definition data storage personal computers huge centers, security become one major concerns for developers cloud. In this paper model proposed, implemented Analyst tighten level...