A genetic algorithm-based solution for efficient in-network sensor data annotation in virtualized Wireless Sensor Networks

Sharing a deployed Wireless Sensor Network Infrastructure (WSNI), (using virtualization), among multiple, concurrent applications can help realize the true potential of Internet-of-Things (IoT). Virtualized WSNs can be used by multiple applications and services concurrently including semantic applications to help end-users to understand the context of the events and make informed decisions. This paper proposes a heuristic-based genetic algorithm to select capable nodes to perform efficient in-network sensor data annotation in virtualized WSNs. We also present early simulations results.