A Data Annotation Architecture for Semantic Applications in Virtualized Wireless Sensor Networks

TL;DR

This paper presents a cloud-based data annotation architecture using overlays to enable semantic applications in virtualized heterogeneous wireless sensor networks, addressing the challenge of data annotation in such environments.

Contribution

It introduces a novel overlay-based architecture for data annotation in virtualized WSNs, with a prototype implementation in Google App Engine.

Findings

Prototype implementation demonstrates feasibility.

Early performance measurements show promising results.

Supports semantic applications in virtualized WSNs.

Abstract

Wireless Sensor Networks (WSNs) have become very popular and are being used in many application domains (e.g. smart cities, security, gaming and agriculture). Virtualized WSNs allow the same WSN to be shared by multiple applications. Semantic applications are situation-aware and can potentially play a critical role in virtualized WSNs. However, provisioning them in such settings remains a challenge. The key reason is that semantic applications provisioning mandates data annotation. Unfortunately it is no easy task to annotate data collected in virtualized WSNs. This paper proposes a data annotation architecture for semantic applications in virtualized heterogeneous WSNs. The architecture uses overlays as the cornerstone, and we have built a prototype in the cloud environment using Google App Engine. The early performance measurements are also presented.