Sustainable and Secure Energy Optimization Strategies in the Internet of Healthcare Things (IoHT)
Year: 2026
Type: article
Abstract: Internet of Healthcare Things (IoHT) is transforming healthcare with connected medical devices, wearables, and analytical insights through AI to allow patient monitoring and diagnostics enhancements. However, the deployment of IoHT is significantly constrained by power restrictions, energy consumption, and communication inefficiencies. In this paper, we propose a new taxonomy for sustainable energy optimization and categorize solutions into hardware-based, software-based, communication-based, integrated system-based, and intelligent decision-based solutions accordingly. This paper explores the categories in detail with regard to efficiency, scalability, and implementation difficulty. The trade- off between energy-saving and system performance was also analyzed through comparison, such as low-power communication protocols, AI-based energy management, and edge-cloud cooperation. Also, this work presents the main open challenges, such as scalability, security, and real-time adaptively, and proposes future research trends related to lightweight AI models, hybrid energy harvesting, and secure encryption schemes. This, in turn, helps ensure the longevity and successful deployment of IoHT applications and promotes the development of efficient, sustainable IoHT applications that contribute to better health outcomes.
Authors: Mahmood Al-shareeda, Haider Alrudainy
Institutions: Southern Technical University, Al-Ayen Iraqi University
Language: English
Topic: IoT and Edge/Fog Computing
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W7225399451