AI-Driven Intelligent Ecosystems: Sentiment Analysis, Healthcare Informatics, and Future Wireless Communication Technologies Simulation Cipher Algorithm

Authors: Srijita Naskar1, Asit Kumar Nayek2, Achyut Mitra3, Dr. Atanu Kotal4, Samarendra Das5

1 Kalinga Institute of Industrial Technology, Bhubaneswar, India
2 Haldia Institute of Technology, Haldia, India
3,4,5 JIS University, Kolkata, India

srijita714@gmail.com, asit_nayek@ieee.org, achyutmitra683@gmail.com, atanukotal78@gmail.com, samarendradas1987@gmail.com

Published in: Journal of Computer Science and Engineering in Innovations and Research (ISSN No: 3049-1762 online)

Publication Date: June 15, 2026

Pages: 47–50

📄 Abstract

To build an intelligent ecosystem, Artificial Intelligence plays a vital role across data analytics, natural language processing, healthcare informatics, and wireless communication technologies. Machine learning models are deployed to analyze social media opinions, assist in clinical disease diagnosis, and optimize personalized treatments. Concurrently, ultra-reliable low-latency wireless communication networks (5G/6G and IoT) provide the backbone for real-time sensor telemetry and encrypted data exchange. This paper explores an integrated 5-layer architecture for intelligent ecosystems connecting sentiment analytics, healthcare decision support, and cryptographic communication protocols.

🔑 Keywords

Intelligent Ecosystems, Sentiment Analysis, Healthcare Informatics, Deep Learning, Internet of Things, 6G Networks, Cipher Algorithm

I. Introduction

Artificial Intelligence is playing a crucial role in creating modern intelligent ecosystems. These ecosystems combine artificial intelligence, cloud computing, the Internet of Things (IoT), and next-generation wireless communications to provide ubiquitous, intelligent services across societal domains [1].

The architecture of an AI-driven intelligent ecosystem generally comprises five major layers: Data Acquisition, Data Processing, AI Analytics, Decision Support, and Application. This paper examines the interplay between text and multimodal sentiment analysis, healthcare informatics, and secure wireless transmission protocols, illustrating how intelligent pipelines enable rapid medical interventions and reliable public communication.