International Journal of Electrical and Computer Engineering (IJECE) Vol. 15, No. 1, February 2025, pp. 1142~1151 ISSN: 2088-8708, DOI: 10.11591/ijece.v15i1.pp1142-1151  1142 Journal homepage: http://ijece.iaescore.com Video conferencing algorithms for enhanced access to mental healthcare services in cloud-powered telepsychiatry Rajagopalan Senkamalavalli 1 , Subramaniyan Nesamony Sheela Evangelin Prasad 2 , Mahalingam Shobana 3 , Chellaiyan Bharathi Sri 4 , Rajendar Sandiri 5 , Jayavarapu Karthik 6 , Subbiah Murugan 7 1 Department of Information Science and Engineering, AMC Engineering College, Bangalore, India 2 Department of Computer Science and Engineering, Sri Krishna Engineering College, Chennai, India 3 Department of Networking and Communication, SRM Institute of Science and Technology, Chennai, India 4 Department of Computer Science and Engineering, Velammal Engineering College, Chennai, India, 5 Department of Electronics and Communication Engineering, Vardhaman College of Engineering, Telangana, India 6 Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, India 7 Department of Biomedical Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India Article Info ABSTRACT Article history: Received Mar 15, 2024 Revised Sep 7, 2024 Accepted Oct 1, 2024 Exploring the video conferencing algorithms for cloud-powered telepsychiatry to improve mental healthcare access. The goal is to evaluate and optimize these algorithms' latency, bandwidth utilization, packet loss, and jitter across worldwide locations. To provide a smooth and high-quality virtual consultation between patients and mental health providers. Using performance data to identify areas for development, the effort aims to lower technological hurdles and increase telepsychiatry session dependability. Findings will help create strong, efficient algorithms that can handle different network situations, increasing patient outcomes and extending mental healthcare services. In the 1 st instance latent analysis in a sample of 5 cities, the average latency (ms) is 45, the peak latency is 120, the off-peak latency is 30, and the packet loss is 0.5. In another instance, bandwidth utilization in a sample of 5 sessions ranged from 30 to 120 minutes, with data supplied in MB - 150-600 and received in MB - 160-620, with average bandwidth (Mbps) - 5-15 and maximum bandwidth: 10-20. Keywords: Cloud computing Mental healthcare Network optimization Telepsychiatry Video conferencing This is an open access article under the CC BY-SA license. Corresponding Author: Rajagopalan Senkamalavalli Department of Computer Science and Engineering, Kammavari Sangham Institute of Technology Bangalore, Karnataka 560109, India Email: senkamalavalli.raja@rediffmail.com 1. INTRODUCTION Telepsychiatry has revolutionized mental healthcare by connecting mental health specialists and patients via technology. Video conferencing in psychiatric treatment allows real-time, face-to-face conversations, making mental health services accessible. Cloud-powered settings make handling telepsychiatry's massive data and computational needs scalable, flexible, and affordable [1]. Video conferencing algorithms must provide high-quality, continuous contact between patients and mental health doctors for telepsychiatry to be effective. The main goal is to study cloud-based telepsychiatry video conferencing technologies. Increasing the quality and dependability of telepsychiatry sessions requires knowing and meeting their particular needs. Latency, bandwidth utilization, packet loss, and jitter must be monitored to ensure smooth psychiatric consultations [2].