Pervasive computing environments demand highly efficient management of computational and communication resources, particularly under the constraints of mobile devices, edge servers, and ubiquitous sensing. The rapid proliferation of intelligent edge systems, Device-to-Device (D2D) communications, and resource-constrained AI models have introduced complex optimization problems related to offloading, task allocation, energy efficiency, localization, and latency minimization.

IOROL 2025 will focus on advanced computational offloading techniques, resource scheduling, cooperative computing frameworks, and the integration of AI/ML algorithms for intelligent decision-making in pervasive networks. Special attention will be given to topics like latency-aware offloading, collaborative learning, federated offloading, spiking neural networks for resource efficiency, intelligent localization, and energy-aware scheduling.

Given the increasing emphasis on mobile AI, energy-efficient pervasive intelligence, and edge computing in smart cities, healthcare, disaster response, and autonomous systems, this workshop is highly timely. It aims to bridge theoretical developments with real-world pervasive computing applications.