Age of information-aware intelligent resource management in D2D-enabled social IoT networks

Abstract

Due to the increasing number of time-sensitive Internet of Things (IoT) applications, effective time management is crucial for maintaining the freshness of information in dynamic and resource-constrained environments. The age of Information (AoI) metric is adopted to quantify timeliness in urban dynamic environments. Device-to-Device (D2D) communication enhances timely information freshness updates by enabling direct communication. This paper proposes a two-stage auction-based resource and power-driven mechanism for AoI and throughput optimization in Social IoT networks. The first stage employs a time-sensitive auction-based model to ensure efficient resource allocation. The second stage utilizes a fixed-point iteration-based power control scheme to enhance the network performance. Simulation results demonstrate proposed approach achieves an 18.03 % increment in throughput, a 69.69 % reduction in AoI, and a 66.41 % reduction in power consumption compared to benchmark schemes. The proposed algorithm may be utilized as a practical solution in disaster management systems, where timeliness and resource-efficient communication are paramount.