Senthil Kumaran R
@srmist.edu.in
Associate Professor / Electronics and Communication Engineering
SRM INSTITUTE OF SCIENCE AND TECHNOLOGY
RESEARCH INTERESTS
Wireless Sensor Networks, Internet of Things, Mobile Adhoc Networks, 5G Communication, Embedded Systems
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
B Vasudevan, R SenthilKumaran, K Immanuel, and M V Karthikeyan
IEEE
Pancreatic cancer has a poor prognosis, but despite continuous challenges in medical research, efforts are still underway to identify strategies to diagnose the illness early and boost survival rates. This attempt has the potential to assist a greater population affected by this terrible illness. Using the revolutionary potential of Machine Learning (ML) algorithms, the healthcare industry has led the way in creating unique techniques to recognizing and categorizing pancreatic cancer risk. This study looks at the various ways used by researchers to diagnose pancreatic cancer using machine learning models. Through our research, we shed light on the sector’s ongoing difficulties while also recognizing significant advancements in this field. Our work relies on a comprehensive analysis of several boost algorithms and tactical strategies.
M. Jayasudha, P. Ranjitha, R. Senthil Kumaran, V. Jayasudhan, and S. Yuvaraj
Springer Nature Singapore
R. Kalaiyarasan, G. Nagarajan, and R. Senthil Kumaran
Springer Nature Singapore
R. Kalaiyarasan, G. Nagarajan, and R. Senthil Kumaran
Springer Science and Business Media LLC
Senthil Kumaran Rajendran and Ganesan Nagarajan
Chapman and Hall/CRC
R Senthil Kumaran, R Parkavi, M Jayasudha, and V Akshaya
IEEE
Wireless sensor networks play a major role in applications that require challenging human contact, which can greatly benefit from the use of wireless sensor networks. WSN is widely used in real-time applications, including security systems, environmental monitoring systems, disaster management, and health monitoring, among others. Due to the fact that sensor nodes are placed in remote locations, it is difficult to find their position and optimize the energy used by the sensor nodes. So, it’s crucial to increase network lifespan by locating them, enhancing energy efficiency, and giving the network security in order to improve network performance. By merging the WSN network’s routing idea into the wireless data network’s hierarchical clustering routing algorithm LEACH, specifically Quadrant Based LEACH, a locationbased routing protocol (QB-LEACH) is suggested. The proposed work comprises three phases, namely, location estimation using Grey Wolf optimisation, energy-efficient clustering by the Quadrant Based-LEACH algorithm, and detection of malicious nodes by a trust-based model. Simulation results show that the proposed Secure and Location Based Energy Efficient Protocol (SLEEP) outperforms in terms of packet delivery ratio, average route path length, average delay, and energy consumption.
K. Suresh Kumar, D. Prabakaran, R. Senthil Kumaran, and I. Yamuna
Wiley
R. Senthil Kumaran and G. Nagarajan
Springer Science and Business Media LLC
Senthil Kumaran Rajendran and G. Nagarajan
Springer Science and Business Media LLC
Kumaran R Senthil, Jayaram B, Srimathi B, and Narmatha T
IEEE
In this world, the way of conveying information between deaf, dumb, and blind people and normal people is very difficult. It is very difficult to share their thoughts and information with others without any assistive devices. In the available scheme, the Arduino microcontroller is used to do some specific operations. It had some disadvantages, such as compiling time, execution time, and the microcontroller doesn't process speech to text conversion processes. In order to overcome the drawbacks faced in the available scheme, Raspberry Pi and sensors are used in the proposed scheme. With the help of the speech-to-text conversion process, deaf people can easily understand what normal people say. Also, there is no fear of traffic for blind people with the help of ultrasonic sensors, and with the accelerometer sensor, dumb people can easily convey their messages to normal people.
R Senthil Kumaran, K Gayathri, K Sheela, and M Jayasudha
IEEE
WSN is often a technology used within an IoT system that assists in monitoring, tracking, and sensing different environmental activities when WSN is integrated into the IoT. They faced a major challenge due to excessive energy ingesting in their sensor nodes and network lifetime. Therefore, the fundamental issues in WSN are high energy consumption in nodes, packet delivery, routing distance, and packet delay. An energy-effective routing scheme that encompasses the system’s generation and recovers its performance and connectivity. Primarily, the sensing region is segregated into different regions depending on the organized sinks and deployed sensor nodes using random deployment. To locate the ideal location for the sinks and accumulate the information from sensor nodes, a sojourn location determination algorithm is constructed finally, using multi-objective evolutionary algorithms, sojourn location determination algorithms are used to analyze the optimized mobile sink paths. While the proposed work’s performance was assessed in terms of energy consumption, throughput, packet delivered ratio, packet loss, average routing length, and accomplishment time of the sinks Algorithms for determining sojourn location.
R. Senthil Kumaran, Ashish Bagwari, G. Nagarajan, and Sanjay Singh Kushwah
Hindawi Limited
Wireless sensor network (WSN) is one of the major emerging fields in real-time scenarios due to the features of sensors. Sensors are used in remote areas because of their usability. Energy is the major issue to be addressed in sensor networks. This energy affects the entire network lifetime. To resolve the energy issues of WSN, clustering and proper routing are the two major procedures that have to be focused on. In this paper, hierarchical routing with optimal clustering using a fuzzy system (HROCF) is proposed for network lifetime enhancement in WSNs. This proposed scheme uses two phases: selection of a cluster leader with a fuzzy inference system and the hierarchical routing strategy are implemented for routing to consume the energy of the sensors resourcefully. During the first phase, a proper cluster leader can be nominated through the fuzzy inputs, namely: residual energy, cost, and position. In the second phase, hierarchical routing can communicate the information from the lower region to the sink node through the cluster leaders in higher regions. These two phases help to prolong the lifetime. The simulation analysis demonstrates that the HROCF scheme reduces the overall energy spent in the network and supports an increase in the lifespan in terms of more alive sensors compared to the existing schemes.
R Saranya, B Srimathi, and R Senthil Kumaran
IEEE
The Automatic Number Plate Recognition System (ANPR) is one among the recent technological innovations in the domain of smart cities. Surveillance cameras are usually installed in different locations across highways and in metropolitan areas for monitoring and reporting purposes. Vehicle number plate detection and recognition in challenging conditions, such as low illumination, unstable weather, and unavoidable noise has increasingly become the focus of the research studies. The proposed work describes a novel system that uses metropolitan security surveillance system to enforce parking restrictions. The captured image is processed and the vehicles are identified by using the Region based Convolution Neural Network (R-CNN) algorithm, which is a well-known method for performing object detection in deep learning domain. It could also be used to enforce traffic laws. The development tool used in this system is Python. The proposed approach provides a feasible solution to the difficult challenges associated with the notion of long-term monitoring.
Gayathri Baskaran, K Saundariya, D Prabakaran, and R Senthilkumaran
IEEE
Web Development is evolving exponentially today at business purpose. Nowadays, there is an increasing need for handyman services and requires a simpler and more accessible way of storing and managing the required information about the Handyman website in the Admin panel and while using PHP/Python/Ajax, there is a blocking of data from the server-side and it takes multiple loading which makes the website with bad user interaction. This project proposed an administration panel for Household services. The purpose of this web design is to provide a non-blocking environment using Node JS to improve the quality of its working process. It is designed with React JS in front-end development, which makes faster response to the browser, SEO friendly. For security purposes, JWT is proposed in order to secure the data from unknown members by setting the Token. Also, a work analysis of the designed web application is presented and demonstrated in this paper.
Senthil Kumaran R, Loga K, Arul Pugazhendhi M, and Saundariya K
IEEE
Wireless Sensor Networks are a group of sensor nodes used for monitoring and recording the physical conditions of the environment. The collected data are passed through the network to the central location known to be the sink node. Even though there are many challenges in designing the sensor nodes, they can be used in many applications and widely used in the present generation. While designing the module, there are many challenges, such as antenna type, target technology, components, storage, power, memory, lifetime, security, computational capability, communication technology, size, programming interface, energy consumption, etc. This paper presents various security-enhancing techniques such as LASER based Security system using WSN, RSSI-LSSVR algorithm, cryptography techniques, a low complexity security algorithm, improved matrix-based key management scheme, enhanced socio-psychological based trust model, ACO based security routing protocol and Fuzzy approach to eliminate the problem of security threats and issues in the wireless sensor network. Therefore, the data that can be transferred from the sensor node to the Base Station cannot be hacked by the attackers.
M Kanimozhi, I Yamuna, B Srimathi, and R Senthil Kumaran
IEEE
Robotics, rehabilitation, biomechanics, and medicine all benefit from wearable sensors. The wearable vest for health monitoring equipped with flexible velostat. The major goal is to offer elders with health-monitoring services. A wearable vest with flexible material based on non-invasive sensors is also being developed. The technology is designed to provide elderly people with accurate vital sign monitoring as well as therapeutic situations. With the help of this system, it offers reliable vital signs monitoring by supporting the health status of aged persons by using wearable sensors integrated with raspberry pi. The demonstration shows good results of different gyroscopic and accelerometer readings using the cloud platform.
K. Hariharan, B. Srimathi, R. Senthil Kumaran, and I. Yamuna
IEEE
Most of the peoples use bus as their mode of transportation to migrate from one place to another. Sometimes timing of the bus is not known to the peoples. To resolve this, a method is proposed to find where the bus is currently coming, the route of the bus and also number of peoples present inside the bus, then the fare details of bus from one location to another location will updated in the corresponding web application. So, we can able to determine the current location of every bus using GPS, also the fare details for each and every boarding place to deboarding place in the route; this data will be stored in the cloud. The IR sensor is employed to count the number of passengers present inside the bus and the details gets updated in the web application where we can know the source and the destination of the bus with its current location along with fare details, passengers count and the approximate arrival time of the bus to its destination place.
Veeramreddy Srinivasulu, Yamuna I, Srimathi B, and R Senthil Kumaran
IEEE
Automobiles and industry are two of the most polluting industries. It has become the most talked-about topic in recent years. Poor car maintenance and an ignition problem are to blame. The amount of exhaust gas will be increased, and pollution will be detected by a semiconductor sensor near the vehicle's departure. It surpasses the government's threshold limit; the system will be notified through an LCD display. It will send a message to the RTO office if the car owner ignores the warning. A challan is created on the vehicle number when the communication is received by the RTO. When the car owner ignores the warning, the car will come to a complete stop.
Dinesh V, Yamuna I, and R Senthil Kumaran
IEEE
Improper sitting posture for a long time is lead to cause Thoracic Kyphosis disease that requires very long time medical aid, so this work is proposed to control the spinal cord bend which occurs to humans. The main aim is to design the sitting posture monitoring and feedback system in the smart chair. In this work, the smart cushion is a rectangular form cushion; the flex sensor is used to collect a sitting posture data. Experiments demonstrate that it can properly predict the seven different types of human sitting postures. If the pressure reaches the threshold value, the proposed system automatically alerts the user using a vibrating sensor and the bend values will be displayed in OLED. The exclusive PCB board is designed to replace the used microcontroller and Lilypad vibeboard. The proposed system is very low cost and effective to the users. The experiment results show that it can achieve high accuracy 98.47% with low power consumption.
K Saundariya, M Abirami, Kumaran R Senthil, D Prabakaran, B Srimathi, and G Nagarajan
IEEE
In recent days, there is a rapid increase in the need for handyman services around the world. If any issue is unfortunately encountered in the home, some issues may be hectic and people can’t be repaired on their own, people are busy with their schedule, hence they need workers to maintain and repair their homes. It is tough to find workers offline at the correct time and cost. Therefore, this online website makes it easier to book your own workers at the correct time and cost, it makes the workers available in just one click at your doorstep. Handyman workers have a separate login to showcase themselves by adding the works and skills they have. It also helps the professionals to gain opportunities and money based on their work. There are several categories and services, on the time of users’ login for the need for the services, the workers are listed based on location and cost with their name and contact. Creating a website using React JS makes it faster, boosts productivity, and is SEO friendly. MongoDB is a schema-less database and with ease of scale-out, hence it is easier to manage data. With this, a user can avoid delay and difficulty.
Abirami M., Saundariya K., Senthil Kumaran R., and Yamuna I.
IEEE
Today our whole world is entangled with the most dreadful disease Corona which is caused by the successor of SARS known as SARS-Cov-2 virus. Coronavirus is the influenza-like respiratory disease causing damage to the respiratory system of the humans through the ACE2 receptors which acts as an entry gate for the virus to enter. The Corona virus was identified in late 2019 in the city of Wuhan, China which later spread to the most of the territories in China. The spread was first identified by the Bluedot which is a Saas service designed to track and detect the spread of infectious disease. When the other countries came to know the severity of the virus they made various steps to prevent the spread of the virus. The initial symptoms of coronavirus are rise in temperature, loss of taste and smell and short breathness. As the entry level check many institutions and offices, checks the body temperature of the people and checks whether the person is wearing a mask or not. To make this process fully automatic without human intervention the use of AI enabled IR camera sensor with the Arduino UNO is made. The detection of temperature can be made possible by the use of the computer leveraging vision techniques which is equipped with the Raspberry-pi camera module. The process is based on the thermal imaging of the person which can detect the elevated temperature of the person and prevents them from entering into the institution or offices thereby the spread due to the possibly affected persons can be avoided thereby the spread can be controlled. The system not only identifies the person with high temperature but also checks whether the person is wearing a mask or not. The real time analysis of the system is the major advantage of the proposed system.
R. Senthil Kumaran and P. Suganya
IOP Publishing
Abstract The lifetime of the network states that the failure time of the initial network nodes or if the building blocks of WSN modules in the network runs out of power. The successive exchange of messages leads to power loss and burdening of sensor nodes. It reduces the network lifetime. This paper presents the energy aware clustering algorithm along with fuzzy to contemplate the residual energy. In cluster based wireless sensor networks, the cluster head gathers all kind of information from each node and has the responsibility of passing of the collected data to the various destination nodes. It diminishes the message overhead, delay, increasing packet delivery ratio and enhancing the lifetime of network.