Designing a 4-Layer Smart System Architecture for Scalable Emergency Response to Human-Elephant Conflicts

Abstract

Human-elephant conflicts have emerged as a significant challenge in regions where human populations encroach upon elephant habitats, leading to detrimental social and economic impacts on local communities and increased mortality rates among elephants. These conflicts are exacerbated by habitat fragmentation and land-use changes, necessitating effective management strategies to mitigate negative interactions. This study addresses the urgent need for an innovative approach to managing human-elephant conflicts through the development of a 4-Layer Smart System Architecture.

The proposed architecture integrates advanced technologies, including the Internet of Things (IoT), Big Data analytics, and Artificial Intelligence (AI), to enhance emergency response capabilities. The architecture consists of four interrelated layers: the Instrumentation and Control Layer for real-time monitoring of elephant movements, the Information System Layer for historical data storage and analysis, the Business Intelligence Layer for predictive analytics and strategic decision-making, and the Gamification Layer to engage local communities in conflict mitigation efforts.

By employing Design Science Research Methodology (DSRM), this study aims to create a comprehensive framework that not only improves the effectiveness of emergency responses but also fosters community participation and awareness. The expected outcomes include enhanced real-time monitoring of elephant behavior, improved predictive capabilities for potential conflicts, and increased collaboration among stakeholders, including local communities, conservation organizations, and government agencies. Ultimately, this research seeks to promote sustainable coexistence between humans and elephants, reducing the frequency and severity of conflicts while supporting conservation efforts. The findings of this study will provide valuable insights for policymakers and practitioners in wildlife management, contributing to the development of adaptive and effective strategies for mitigating human-elephant interactions in the smart system era.