Dr.M.A.MANIVASAGAM
@sistk.org
PROFESSOR AND HOD
SIDDARTHA INSTITUTE OF SCIENCE AND TECHNOLOGY
RESEARCH, TEACHING, or OTHER INTERESTS
Computer Networks and Communications, Computer Science, Computer Engineering, Artificial Intelligence
Scopus Publications
Scopus Publications
SwornaKokila M L, Venkatarathinam R, Rose Bindu Joseph P, M. A. Manivasagam, and Kakarla Hari Kishore
River Publishers
Smart grids have developed as a potentially game-changing strategy for controlling the demand and supply of energy. Unfortunately, peak demand is a significant source of grid instability and rising energy prices, making it one of the most critical difficulties in smart grids. During times of high energy demand on the grid, demand response (DR) strategies incentivize consumers to change how they use energy. This study’s overarching goal is to learn how DR methods may be used to help smart grids make better use of their energy resources. The primary research is to develop a smart DR system that can predict times of high energy demand and proactively alter usage to reduce such periods. Machine learning strategies are utilized in the proposed system to estimate peak demand via past data, weather predictions, and other variables. The system will then alter energy use based on real-time data from smart meters along with other sensing devices to meet the projected demand. The simulation model will include several scenarios for testing the DR system’s flexibility, including a range of weather conditions, load profiles, and grid topologies. Several indicators, including peak demand reduction (80.04%), energy savings (38.09%), environmental consequences, and reaction time (<0.4 seconds), are used to evaluate the model’s performance. The output of the method excelled all of the other current methods that were taken into account. The system’s rapid response time and its positive environmental impact further highlight its potential in managing smart grid resources effectively.
Purushothaman Chandra Sekar, Pichaimuthu Rajasekar, Sundaram Suresh Kumar, Mittaplayam Arunchalam Manivasagam, and Chellappan Swarnamma Subash Kumar
MDPI
K. Gunasekaran, D. Regan, Basavaraj G Kudamble, and M. A. Manivasagam
IEEE
Reliable Routing through Trust Node Selection scheme is proposed to implement improved security measures and efficient routing in MANET. The friend list is created for each and every node and this task is performed for identifying the node ratings through the challenging process for its neighbor nodes. Challenge is a process carried out for determining the ratings obtained for nodes to prove their integrity and honesty. The node challenge process is carried between the nodes through the count of control messages that have been processed. From the consequences of node ratings if the nodes achieve a certain value then the nodes come under the friend node list else the node falls under the unfriend node list and isolates from the routing process. Finally, the data transmission is done through reliable and trusted routes by utilizing a key management model for encrypting the data. Recreation investigation is supported obtainable intended for demonstrating the effectiveness of the future outline.
M.A. Manivasagam and T.V Ananthan
Institute of Advanced Engineering and Science
<span lang="EN-US">Providing reliability in Wireless sensor networks is considered to be a challenging task, due to the limited capabilities in terms of energy, power and memory. The applications of these systems run in sensors with low level programming abstractions, limited capabilities and routing protocols. In this paper, we propose a strategy to adjust radios in the sensor network depending on the signal strength of the neighboring nodes to ensure reliability using self reconfiguration (S2R2). Redundancy-based reliability is achieved by performing encoding/decoding either at the source and the destination node or each pair of communicating sensor nodes from the source to the destination. Along with the reliability, the link and the stability of the link are checked. The stability of the route makes the route a valid one to send data. Simulation analysis shows that the proposed mechanism performs better in terms of stability and reliability compared to the existing mechanism</span>
M. A. Manivasagam and T. V. Ananthan
Diva Enterprises Private Limited
In wireless sensor networks, continuous link failures among nodes caused owing to energy drain, environmental conditions, interference, obstacles, etc. The routing protocols, for the WSN, must have self-configuration characteristic goals for finding the best path to transfer the data from source to destination. It is not need to create new routing if any link failure occurs in the network. In this paper we propose An Adaptive Self Reconfiguration Mechanism for improving Reliability (ASMIR) to reduce the link failure and improve the energy efficiency in the network. The simulation result shows that the ASMIR improves the network performance.