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The rapid growth of the Consumer Internet of Things (CIoTs) has led to its adoption in next-generation applications, including interactive gaming, healthcare services, video streaming, etc. The limited computational resources of CIoTs often hinder providing timely responses to real-time consumer applications. A sensible option in this regard is to offload computations to nearby fog nodes (FNs) with enough resources to meet the application quality-of-service (QoS) requirements. However, an inconsiderate offloading policy can result in unusual traffic at the FNs, leading to congestion that can negatively impact the latency requirements of applications in a complex IoT-Fog network. Therefore, developing offloading policies that distribute the network load and effectively utilize the FN resources is essential. This paper proposes a matching theory-based protocol A-DAFTO, addressing the challenges above. A-DAFTO …