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Title: IoT-enabled Knowledge Extraction and Edge Device Sustainability in Smart Cities
Internet of Things (IoT) deployments are becoming the backbone of all future Smart City (SC) environments. They can, therefore, act as massive crowd-sourced data aggregators, driven by device-to-device interactions with SC users' mobile devices and their wireless interfaces. Provided that, our research focuses on developing probabilistic and machine learning models to (a) enable knowledge discovery from passive user interactions with the wireless IoT infrastructure and (b) apply the collected intelligence to increase the energy-efficiency and resiliency of the Smart City's IoT network. In this extended abstract we elaborate on the motivation behind our work, and the related challenges, while pointing to the solutions developed so far.  more » « less
Award ID(s):
1757207
PAR ID:
10321710
Author(s) / Creator(s):
Date Published:
Journal Name:
2020 IEEE International Conference on Smart Computing (SMARTCOMP)
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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