Harnessing YOLO-Powered Drones for Cloud-Based Weed Density Mapping Focusing Agri 4.0 S. Vishnu Kumar, G. Aloy Anuja Mary, B. Sathyasri, Murali Kalipindi, Chivon Choeung Industrial Internet of Things and Advanced Techniques for Sensor Data Aggregation and Fusion, 2026 This chapter explores the integration of Internet of Things (IoT) and Machine Learning (ML), particularly in drones, focusing on smart agricultural. This chapter presents a drone-based weed density mapping system that combines advanced ML algorithms, such as YOLO (You Only Look Once), with high-resolution drone-mounted cameras for efficient weed detection and classification. By embedding computational capabilities directly on the drone, the system minimizes reliance on bandwidth-intensive cloud processing, enhancing resource efficiency. The proposed approach incorporates geolocation data using GPS (Global Positioning System) modules and transmits essential insights to Google Cloud IoT Core via MQTT (Message Queuing Telemetry Transport) for visualization and analysis. Weed density data are further processed to generate heat maps, enabling targeted herbicide application and reducing environmental impact. This approach contributes to sustainable agriculture aligned with Agri 4.0. Through innovative hardware–software integration, the system addresses key challenges such as varying soil conditions, environmental factors, and weed–crop differentiation. This study underscores the potential of IoT and ML in revolutionizing sustainable agriculture by delivering a scalable, real-time solution for automated weed management and resource optimization.
An Efficient Location Signature Generation-Based Localization Framework Using Flog Algorithm in Wireless Sensor Networks Vijendra Kumar Dandamudi, Aloy Anuja Mary G International Journal of Communication Systems, 2025 In Wireless Sensor Networks (WSNs), localization is extensively wielded for determining the current location of the Sensor Nodes (SNs). But, localization is a challenging task. The localization problems in WSN can be addressed by the existing localization algorithms with the consequences of cost, size, as well as energy problems only. Thus, an efficient location signature generation framework is presented by using the Flexible Ligands Oriented on Grid (FLOG) localization algorithm in WSN. Primarily, the regions are identified and the nodes are randomly deployed. Then, the signal strength is collected. The sensor field is divided into equal triangles in which edge set, vertex set, and coverage value are extracted after the deployment of all the nodes. Then, by using Moore Graph 1‐Separation Formula Kemeny Constant, a planar graph is plotted. After taking all the edge nodes, the exact location of the nodes is discovered by using the Trilateration‐based Gorilla Troop Optimization along with the SAT‐3 algorithm (T‐GTO‐SAT‐3). Then, by using True‐True Matching, the location results are matched with the original node deployment status. Moreover, by using FLOG, the location signature is generated and the nodes are localized. Next, by using Eulerian Learning (EL), the dissemination line setup is done. Lastly, based on the threshold values, the network lifetime is calculated. Hence, the results proved that the proposed model obtained a Mean Localization Error (MLE) of 0.01, which outperformed traditional approaches.
SIW Cavity-backed Gain-enhanced Circularly Polarized Metamaterial-loaded Dual-band MIMO Antenna for WLAN and 5G Applications Infant Leo S, G. Aloy Anuja Mary, A. Syed Mazhar, Satyam Mishra, G. Jothi Applied Computational Electromagnetics Society Journal, 2025 This work proposes the development of a metamaterial-loaded circularly dual-band cavity-backed substrate integrated waveguide (SIW) MIMO antenna designed for the sub-6 GHz, emphasizing sub-6 GHz 5G and WLAN applications. The creation of dual operating bands is enabled via a modified dual split ring resonator (CSRR)-shaped slot that is etched into the SIW cavity-backed rectangular radiator. Additionally, the antenna incorporates 6x3 modified SSRR unit cells strategically located in front of the intended radiators along the y-axis. This arrangement enables circular polarization and enhances the gain of the proposed radiator at 3.3 GHz and 5 GHz. The metamaterial loading of the proposed antenna yields a gain of 5.5 dB at 2.4 GHz and 5.4 dB at 5 GHz. Further, the implementation of a CSRR electromagnetic bandgap (EBG) decoupling structure reduces the mutual coupling between the radiators. The antenna exhibits an exceptional diversity performance. The experimental validation of the system confirms its intended functionality.
CSPBOT-boQIEKC: QoS Enhanced Integration of Energy-Aware Clustering with Routing Protocol for WSN Venu Mangipudi, Aloy Anuja Mary G Ssrg International Journal of Electronics and Communication Engineering, 2024 Nowadays, demanding ideals in Wireless Sensor Network (WSN) research are prolonging the network lifetime and lessening the energy consumption. However, the WSN with dynamic topology communication among Sensor Nodes (SNs) is liable to various attacks. SNs with low power may create some issues between security and energy consumption. In this proposed methodology, a protected energy-efficient routing approach, namely the Combinable Stochastic Patterned Bat Optimization Technique based on Quantized Indexive Energy Knowledgeable Clustering (CSPBOT -boQIEKC), is introduced. It performs SN clustering, shortest path identification, and path maintenance. Clustering and CH election are done by the Quantized Schutz Indexive Linde Buzo Gray (QSILBG) Algorithm. Meanwhile, the Cluster Head (CH) election is done by considering distance, residual energy of the SNs, and delay. Shortest path identification is performed by Combinable Stochastic Patterned Prevosti’s Bat Optimization (CSP2BO) Technique. Furthermore, the fitness of the bat is estimated based on the distance, energy, trust and link stability among SNs. In addition, the fault tolerance approach is utilized to ensure that the WSN continuously works regularly, even in the state of CH failure. The Stochastic Universal Sampling Selection (SUSS) procedure is activated to elect the best shortest path for data transmission. Finally, path maintenance is accomplished for alternative paths when link failure happens among SNs of the network. The performance of the proposed methodology is estimated on residual energy, energy consumption, packet delivery ratio, network lifetime and throughput. The proposed CSPBOT-boQIEKC technique provides an 18% improvement in energy consumption, 6% improvement in PDR, and 26% improvement in throughput than existing Taylor C-SSA, QEBSR and IoNM-BSOLyD approaches.
Hyperelliptic curve based authentication for the internet of drones Aloy Anuja Mary Gnanaraj, Farithkhan Abbasali, Aanandha Saravanan Kumar, Sathyasri Bala Subramanian, Murugan Chinnathambi International Journal of Reconfigurable and Embedded Systems, 2024 Drones provide an alternative progression in protection submissions since they are capable of conducting autonomous seismic investigations. Recent advancement in unmanned aerial vehicle (UAV) communication is an internet of a drone combined with 5G networks. Because of the quick utilization of rapidly progressed registering frameworks besides 5G officialdoms, the information from the user is consistently refreshed and pooled. Thus, safety or confidentiality is vital among clients, and a proficient substantiation methodology utilizing a vigorous sanctuary key. Conventional procedures ensure a few restrictions however taking care of the assault arrangements in information transmission over the internet of drones (IOD) environmental frameworks. A unique hyper elliptical curve (HEC) cryptographically based validation system is proposed to provide protected data facilities among drones. The proposed method has been compared with the existing methods in terms of packet loss rate, computational cost, and delay and thereby provides better insight into efficient and secure communication. Finally, the simulation results show that our strategy is efficient in both computation and communication.
Leveraging 6G Technology for Advancements in Smart Agriculture: Opportunities and Challenges B. Sathyasri, R.S. Valarmathi, G. Aloy Anuja Mary Development of 6g Networks and Technology, 2024 As society progresses towards the next generation of wireless communication networks, 6G technology emerges as a transformative force that holds immense potential for various sectors, including smart agriculture. With the growing global demand for sustainable and efficient food production, integrating 6G into agricultural systems can unlock innovative solutions to enhance productivity, resource management, and environmental sustainability. The term “smart agriculture” describes the application of cutting-edge technology in farming, such as IoT sensors, drones, and AI-powered software. These technologies can be implemented more successfully and efficiently than ever before because of 6G's breakneck speeds and extremely low latency. Research on the possible effects of 6G on smart agriculture has already started, but it is still in its early phases. The possibilities are limitless as we continue to investigate this fascinating area of wireless technology. The adoption of 6G has the potential to completely transform how we raise crops and feed a growing global population, from real-time data processing to precision agricultural methods. This research aims to explore the application of 6G technology in smart agriculture, investigating the opportunities it presents and the challenges that need to be addressed for its successful implementation.
IoT based Detection and Monitoring for Coronary Artery Disease Aanandha Saravanan K, Vignesh Prasanna N, Ezilarasan M R, Aloy Anuja Mary G, Sathyasri B, MuthuKumaran D IEEE 9th International Conference on Smart Structures and Systems Icsss 2023, 2023
Forest Wild Fire Detection using Deep Learning Approach Aanandha Saravanan K, MuthuKumaran D, Aloy Anuja Mary G, Sathyasri B, Prabha M, Ambika Bhuvaneswari C IEEE 9th International Conference on Smart Structures and Systems Icsss 2023, 2023
Women Safety Maneuver in Real Time Scenarios K. Aanandha Saravanan, B. Sathyasri, G. Aloy Anuja Mary, A. Farithkhan, N. Vignesh Prasanna, M. R. Ezilarasan 8th International Conference on Smart Structures and Systems Icsss 2022, 2022
Impact of secondary user density on cognitive radio networks International Journal of Innovative Technology and Exploring Engineering, 2019
An optimal transmitted power reduction based rate improvement technique in cognitive radio networks International Journal of Engineering and Advanced Technology, 2019
Elliptic curve cryptography (ECC) based four state quantum secret sharing (QSS) protocol International Review on Computers and Software, 2013
Solving heuristic attacks using elliptic curve cryptography in quantum Computer Journal of Theoretical and Applied Information Technology, 2013
Quantum Circuit Simulator (QCS) G. Aloy Anuja Mary, I. Amalorpa Valaraj, C. Chellappan Artcom 2009 International Conference on Advances in Recent Technologies in Communication and Computing, 2009
