Deadline Date: 31 March 2026
The Internet of Things (IoT) has become a transformative force across numerous engineering and technological fields, enabling extensive interconnection of devices through sensors, actuators, and embedded communication systems. However, the exponential growth of IoT devices poses serious challenges in terms of energy efficiency and resource optimization. Power constraints, dynamic network demands, and non-linear resource allocation problems make the efficient operation of IoT networks increasingly complex. Addressing these challenges requires advanced mathematical modeling and algorithmic approaches capable of optimizing energy usage while maintaining high Quality of Service (QoS). Innovative solutions, including heuristic and metaheuristic algorithms, fuzzy logic, and dynamic optimization frameworks, are essential to achieve sustainable, adaptive, and resilient IoT ecosystems.
This special issue aims to gather high-quality research contributions that focus on mathematical and computational methods to enhance energy efficiency and resource utilization in IoT networks. We seek novel theoretical models, practical algorithmic frameworks, and integrated systems that address multi-objective optimization, dynamic resource allocation, and renewable energy integration. The scope includes but is not limited to intelligent energy management for smart buildings and cities, adaptive IoT infrastructures, and real-time energy-aware monitoring systems.
Suggested themes:
- Nonlinear and multi-objective optimization for IoT energy efficiency
- Heuristic and metaheuristic algorithms (e.g., PSO, Chaotic PSO, AIS)
- Fuzzy logic-based control and uncertainty management in IoT
- Dynamic resource allocation frameworks for IoT networks
- Energy harvesting and renewable energy integration in IoT systems
- Scalable architectures for energy-aware IoT deployments
- Real-time monitoring and control of energy flows in intelligent infrastructures
- Secure and energy-efficient cross-layer frameworks for IoT and 6G clouds
- AI-driven adaptive systems for resource and energy optimization
- Mathematical models for sustainable autonomous systems and urban platforms
The Internet of Things (IoT) has become a transformative force across numerous engineering and technological fields, enabling extensive interconnection of devices through sensors, actuators, and embedded communication systems. However, the exponential growth of IoT devices poses serious challenges in terms of energy efficiency and resource optimization. Power constraints, dynamic network demands, and non-linear resource allocation ... show more
Editorial board
