Neuromorphic Edge Intelligence for Rural Environmental Monitoring
Keywords: Edge Computing, Artificial Intelligence, Edge Intelligence, Rural Computing, Environmental Monitoring
Abstract: Edge Intelligence is the fusion of Edge Computing and Artificial Intelligence. It promises responsiveness, privacy preservation, and fault tolerance by moving parts of the Artificial Intelligence workflow from centralized cloud data centers to distributed edge servers. However, most Edge Intelligence implementations so far are limited to urban areas, where the infrastructure is substantially more dependable. This work instead focuses on a class of applications involved in environmental monitoring in remote, rural areas such as forests and rivers. There are new challenges in such applications, including access to electricity and network. We propose Neuromorphic Computing as a promising solution to the energy, communication, and computation constraints in such scenarios and identify future research directions in Neuromorphic Edge Intelligence for rural environmental monitoring, namely distributed model synchronization, edge-only learning, and aerial networks.
Submission Number: 7
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