A SDN-based IoT Architecture Framework for Efficient Energy Management in Smart Buildings
Résumé
Energy consumption has increased drastically at
global scale due to the growing urbanization in cities. Energy
efficiency in smart buildings can be achieved by introducing a
context-aware Internet of Things (IoT) approach, where sensors
can learn from their surrounding environment to control the
actuators in a coordinated network. However, the IoT network
requirements are constantly changing in unpredictable fashion,
which needs faster and frequent on-demand network reconfigu-
ration. Software Defined Network (SDN) has been envisioned
as a new approach to enable a flexible and agile network
programmability in diverse IoT scenarios. However, the focus has
primarily been on the design of the SDN computation logic, i.e.
controllers, while the dynamic delivery and operations service-
inferred IoT resource allocation has been postponed.
To fill this gap, this paper proposes a comprehensive architec-
tural design that is devised to empower SDN-enabled Context-
Aware IoT systems and networks to create efficient energy
management in smart buildings. We investigate the provision
of NFV IoT functions to support distributed automation and
orchestration on IoT devices, and we present a context-aware
approach to gather, filter and process data from sensing data in
campus buildings. We provide a proof of concept to demonstrate
successful deployment and provisioning of virtualized services in
the context of Smart Campus research project.
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