Trilochan Panigrahi

• Ph.D.
• Professor (Associate) at National Institute of Technology Goa, India

The present invention is a lightning harvesting apparatus designed to capture and store electrical energy from lightning strikes. The apparatus includes an omnidirectional conductive antenna tower connected to an energy distribution network comprising multiple branches with supercapacitors arranged in parallel. The captured energy is directed i...

In cognitive radio, wideband spectrum sensing is challenging in detecting low signal-to-noise ratio signals dominated by non-Gaussian noises. Traditional methods outlined in current literature often fail to provide satisfactory detection performance in the aforesaid scenario. To address this issue, we propose the use of a simultaneous likelihood ra...

In wireless communication, impulsive noise often degrades channel quality, which poses challenges for equalizers. Although robust equalization methods offer some effectiveness, the occurrence of impulsive noise after training significantly impacts the symbol error rate (SER). To mitigate this issue, we propose a method that involves denoising the r...

Background: The traditional binary logic gates operate on a binary system with inputs and outputs taking values of 0 and 1. In this paper, we explore the concept of logic gates using a ternary base, where inputs and outputs can take values of -1, 0, and 1. Objectives: Our study aims to demonstrate the implementation and functionality of basic logic...

Background: The traditional binary logic gates operate on a binary system with inputs and outputs taking values of 0 and 1. In this paper, we explore the concept of logic gates using a ternary base, where inputs and outputs can take values of -1, 0, and 1. Objectives: Our study aims to demonstrate the implementation and functionality of basic logic...

The present study aimed to develop barium-doped Mg-Zn ferrites as a potential radar absorption material. To achieve this, Mg-Zn ferrite composites were synthesized using a sol-gel technique and sintered at a high temperature. The composition of the ferrites was denoted as (Mg−Zn)1−xBaxFe2O4, with varying Ba concentrations of x = 0, 0.1, 0.2, 0.3, a...

A distributed sensor network (DSN) is a grouping of low-power and low-cost sensor nodes (SNs) that are stochastically placed in a large-scale area for monitoring regions and enabling various applications. The quality of service in DSN is impacted by the sporadic appearance of defective sensor nodes, especially over the dense wireless network. Due t...

In recent years, the use of natural materials for various applications has become increasingly popular due to the growing awareness of the environmental impact of man-made materials and the need to find cost-effective solutions for different applications. This study presents a new method to analyze the microwave absorption properties of dried and s...

In this study, we report a simple, cost-effective technique to absorb electromagnetic (EM) waves using Ramphal (Annona reticulata) leaves ash. The structural and physical characterization of the ash powder was performed using x-ray diffraction (XRD), field-emission scanning electron microscopy (FESEM), thermogravimetric analysis/differential therma...

In current days, sensor nodes are deployed in hostile environments for various military and commercial applications. Sensor nodes are becoming faulty and having adverse effects on the network if they are not diagnosed and informed of the fault status to other nodes. Fault diagnosis is difficult when the nodes behave at fault sometimes and provide g...

Sensor nodes in wireless sensor networks (WSNs) are randomly deployed in unattended hostile environments for remote sensing applications. Real time experience shows sensor nodes are becoming faulty due to internal and external influences such as adverse environmental conditions, low battery, and sensor aging etc. It has been also observed that few...

In a wireless sensor network (WSN), channel estimation prior to data communication is an important task. The nonlinear behavior of the channel makes the estimation procedure challenging. Further, the accuracy of the estimation algorithm deteriorates in the presence of impulsive noise. In such a scenario, the conventional adaptive filtering methods...

There exist numerous multi‐path signals with impulsive noise (IN) in a multi‐path propagation environment. The direction‐of‐arrival (DOA) is highly challenging to be assessed because of the strong IN. For various military along with civilian applications, DOA estimation has turned into a hopeful technology. But, estimating DOA for multipath signals...

The typical MultiPath (MP) propagation environment attains lots of MP signals as of the antenna array, and the Impulse Noise (IPN) accompanies these MP signals. The Directions‐of‐Arrivals (DOA) of an MP signal is tough to be assessed because of these IPN. Though numerous existing techniques were generated to assess the MP signal's DOA, they cannot...

Channel estimation in a wireless sensor network is imperative to error-free information dissemination and data collection. The estimation procedure is challenging if there exists a nonlinear distortion to the communication signal due to the radio-frequency components in the transmitting or receiving entity. It has drawn attention to nonlinear syste...

In a wireless sensor network (WSN), the performance of the error-squared based adaptive channel estimation algorithm degrades in the presence of impulsive noise. Robust methods are used to minimize the impulsive noise impact at the cost of a slow convergence rate. We propose a robust diffusion adaptive channel estimation algorithm using the logarit...

Molecular communications systems are used to transmit digital information through a physical medium with the help of molecules. The receiver detects the presence or absence of transmitted molecule to digitally encode the messages. The biocompatible molecules are spread into a medium such as air and water for transmission. The system requires less e...

The cellular Internet-of-Things has resulted in the deployment of millions of machine type communication (MTC) devices under the coverage of a single gNodeB (gNB). These massive number of devices should connect to the gNodeB (gNB) via the random access channel (RACH) mechanism. Moreover, the existing RACH mechanisms are inefficient when dealing wit...

Microwave photonic (MWP) radar has the advantages of generating and processing wide bandwidth microwave signals, reconfigurability, high immunity to electromagnetic interference compared to microwave electronic radar. It has the potential to be used in applications such as intelligent autonomous and cyber-physical systems. Recent advances in microw...

In a cognitive radio network, non-reconstruction-based wideband compressive spectrum sensing poses challenges under the non-Gaussian noise environment. The maximum correntropy criterion (MCC) is robust to impulsive noise whereas, the Parzen window Renyi entropy is a good choice for spectrum sensing in the presence of Gaussian noise at a low signal-...

Communication systems are affected by channel distortions. Impulsive noise is one of the significant factors for channel impairments. The standard additive white Gaussian noise (AWGN) channel model and conventional estimation algorithms like least mean square (LMS) and its variants tend to be ineffective under such conditions. This paper presents a...

The cellular Internet-of-Things has resulted in the deployment of millions of machine-type communication (MTC) devices. These massive number of devices must communicate with a single gNodeB (gNB) via the random access channel (RACH) mechanism. However, existing RACH mechanisms are inefficient when dealing with such large number of devices. To addre...

In this chapter, a method to classify environmental noise in the traffic of urban cities in real time using artificial neural network is discussed. The objective is to design an accurate model for classification of environment sounds present in the city. In fact, the background noise is random in nature and it becomes important to classify them in-...

In cellular Internet of Things, burst transmissions from millions of machine type communications (MTC) devices can result in channel congestion. The main bottleneck in such scenario is the inefficient random access channel (RACH) mechanism that is used to attach MTC devices to a base station (BS). To address this issue of congestion in RACH mechani...

In Cellular Internet-of-Things, random access channel (RACH) mechanism is used by machine-to-machine communication (M2M) devices to connect to a base station (BS) for any information exchange. However, increase in the number of M2M devices increases the network contention and reduces the number of RACH successes. In order to address this problem, w...

In literature, distributed algorithms are proposed to estimate the parameters of finite impulse response (FIR) systems wich is inherently stable. Whereas in some sensor network-based remote sensing applications like target tracking and fast rerouting, feedback systems are used along with feedforward path. The distributed estimation process improves...

Source localization and tracking is an important application in wireless sensor networks. Sources are localized by measuring the direction of arrival from the signal impinging on the array of sensors. Most of the existing array signals processing algorithms to estimate the source directions of arrival are centralized-based which need more communica...

Sensor nodes in wireless sensor networks (WSNs) are randomly deployed in hostile environments. Real-time experience shows that sensor nodes are prone to faulty. Different faults of sensor nodes are inevitable due to internal and external influences such as adverse environmental conditions, low battery, calibration and sensor ageing effect. Since WS...

In recent past, wireless sensor networks (WSNs) are used in various real-life applications where the nodes are randomly deployed in hostile environments. Different faults of sensors are inevitable due to adverse environmental conditions, low battery, and aging effect. Therefore, one major research focus in WSNs is to diagnose the sensor nodes regul...

In this work, we propose a hybrid power line communication (PLC)/visible light communication (VLC)/radio frequency (RF) fronthaul with a fiber based wired backhaul system to support massive number of smart devices (SDs). Since, a signal-to-noise ratio (SNR) based access point (AP) association and bandwidth (BW) allocation for each SD do not necessa...

Distributed estimation of parameters in wireless sensor networks is taken into consideration to reduce the communication overhead of the network which makes the sensor system energy efficient. Most of the distributed approaches in literature, the sensor system is modeled with finite impulse response as it is inherently stable. Whereas in real time...

Distributed direction of arrival (DOA) estimation based on maximum likelihood (ML) is an energy-efficient source localization technique that is vital to systems such as wireless sensor networks (WSN). Due to the multimodal nature of the ML function, the distributed approach uses swarm intelligence (SI) algorithms. However, this approach has slow co...

Passive localization and classification algorithms for mixed near-field and far-field sources have mainly been investigated for antenna arrays with regular or symmetrical geometry. However, these algorithms may not be applicable to wireless sensor networks, where spatially distributed sensor nodes form an array of random geometry. This paper propos...

Many works of literature support the potential of distributed channel estimation resorting to the traditional LMS algorithm and its variants. But these conventional LMS algorithms fail in an impulsive noise environment, which is undeniable in many communication systems. Hence in this paper, we study distributed channel estimation with robust cost f...

In a cellular Internet of Things, burst transmissions from millions of machine type communications (MTC) devices can result in channel congestion. The main bottleneck in such scenario is inefficient random access channel (RACH) mechanism that is used to attach MTC devices to a base station (BS). To address this issue of congestion in RACH mechanism...

The performance of the existing direction of arrival (DOA) estimation algorithms for source localization in the wireless sensor networks (WSN) degrades when the sources are correlated. The degradation is due to the rank deficiency of the source covariance matrix which is reflected in the high cramer-Rao lower bound (CRLB) for correlated sources. Un...

Time difference of arrival (TDOA) is a widely used technique for localizing a radio transmitter from the difference in signal arrival times at multiple receivers. For TDOA to work, the individual receivers must estimate the respective signal arrival times precisely, which requires sampling the signal at least double the rate of its highest frequenc...

This novel work analyses the model of Automatic generation control having two unequal deregulated power system in Lab VIEW platform. Teaching learning based optimization (TLBO) has been implemented for tuning the gains of the PID controller. Further a comparative study has been given in this work with DE-based PID and TLBO-based PID controller. Fro...

Automatic generation control (AGC) plays a vital role in power system operation and control. In this study, an attempt is made to apply a successful evolutionary optimization technique named as firefly algorithm to minimize the Area Control Error (ACE). The firefly algorithm reduces the required control effort for achieving the dynamic response of...

The terahertz band is considered the last frontier for wireless communications and expected to play a significant role in beyond 5G networks. Besides supporting extremely high data rates for existing devices, the terahertz band is also expected to connect future nanoscale devices using graphene-based nano-antenna, which happens to radiate in 0.1-10...

The 30-300GHz millimeter wave (mmWave) band is currently being pursued to combat the rising capacity demands in 5G, WiFi, and IoT networks. Due to the high frequency, impulse radio (IR) in this band is better suited for positioning than other existing low-frequency bands. Besides precision positioning, the exceptionally wide bandwidth also enables...

Advancements in nanotechnology promises new capabilities for Internet of Things (IoT) to monitor extremely fine-grained events by deploying sensors as small as a few hundred nanometers. Researchers predict that such tiny sensors can transmit wireless data using graphene-based nano-antenna radiating in the terahertz band (0.1-10 THz). Powering such...

Nanoscale wireless sensor networks (NWSNs) could be within reach soon using graphene-based antennas, which resonate in 0.1-10 terahertz band. To conserve the limited energy available at nanoscale, it is expected that NWSNs will communicate using extremely short pulses on the order of femtoseconds. Accurate estimation of direction of arrival (DOA) f...

In wireless sensor networks (WSNs), distributed algorithms are used to estimate desired parameters for minimizing the communication overheads and make the network energy efficient. In literature, distributed estimation of finite impulse response (FIR) systems has been studied, because it is stable. In fact in many sensor network-based applications...

The electroencephalogram (EEG) signals are basically electrophysiological signals that are normally used to access the condition of brain. Epilepsy is one of the brain's disorder. Automated diagnosis of epilepsy can be done by measuring and analyzing the nonlinear and non-stationary trends in EEG signals. This paper introduces a new diagnostic appr...

In this paper, the authors investigate a majorization problem for certain subclasses of multivalent meromorphic functions defined in the punctured unit disk U∗ having a pole of order p at origin. The subclasses under investigation are defined through iterations and combinations of the Liu-Srivastava operator and a meromorphic analogue of the Cho-Kw...

Low frequency transient stability oscillations are the most common phenomenon which can affect the stability of the system as well as hampers the power transfer capability of the system. This paper proposes a Static Var Compensator (SVC) which is a FACTS device for damping the power system oscillations. For this study a Linearized Heffron- Phillips...

In distributed wireless sensor networks (WSNs), each sensor node estimates the global parameter from the local data in distributed manner. An iterative distributed estimation algorithm is used where the diffusion co-operation scheme is incorporated. Presence of faulty sensor node in the network leads to inaccurate estimation in the conventional err...