| Resumen |
Te increasing adoption of mobile personal devices and Internet of Tings devices is leveraging the emergence of a wide variety
of opportunistic sensing applications. However, the designers of this type of applications face a set of technical challenges related
to the limitations and heterogeneity of the hardware and sofware platforms and to the dynamics of the scenarios where they are
deployed. In this paper, we introduce a Semantic-Centric Fog-based framework aimed at efectively and efciently supporting
this type of applications. Te proposed framework is composed of local and distributed algorithms that support the establishment
and coordination of sensing tasks in the Fog. First, it performs ontology-driven in-network processing to locate the most adequate
devices to carry out a given sensing task and then, it establishes efcient multihop routes that are used to coordinate relevant devices
and to transport the collected sensory data to Fog sinks. We present a set of theorems that prove that the proposed algorithms are
correct and the results of a series of detailed simulation-based experiments in NS3 that characterize the performance of the proposed
platform. Te results show that the proposed framework outperforms traditional sensing platforms that are based on centralized
services. |
