TY - JOUR
T1 - Opportunistic Mobile Sensing in the Fog
AU - Menchaca-Mendez, Rolando
AU - Luna-Nuñez, Brayan
AU - Menchaca-Mendez, Ricardo
AU - Yee-Rendon, Arturo
AU - Quintero, Rolando
AU - Favela, Jesus
N1 - Publisher Copyright:
© 2018 Rolando Menchaca-Mendez et al.
PY - 2018
Y1 - 2018
N2 - The increasing adoption of mobile personal devices and Internet of Things 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 software 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 effectively and efficiently supporting this type of applications. The 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 efficient 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. The results show that the proposed framework outperforms traditional sensing platforms that are based on centralized services.
AB - The increasing adoption of mobile personal devices and Internet of Things 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 software 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 effectively and efficiently supporting this type of applications. The 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 efficient 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. The results show that the proposed framework outperforms traditional sensing platforms that are based on centralized services.
UR - http://www.scopus.com/inward/record.url?scp=85053025551&partnerID=8YFLogxK
U2 - 10.1155/2018/2796282
DO - 10.1155/2018/2796282
M3 - Artículo
AN - SCOPUS:85053025551
SN - 1530-8669
VL - 2018
JO - Wireless Communications and Mobile Computing
JF - Wireless Communications and Mobile Computing
M1 - 2796282
ER -