Resource Aware Sensor-to-Actor Allocation Framework for WSANs Based on Voronoi Cells Theory

Abstract EN

Wireless sensor and actor networks (WSANs) have emerged as a promising research field and have been applied in a wide variety of application domains due to their capability of environment monitoring, event data processing, and decision-making by aiming at performing appropriate actions interacting with the environment.

Coordination mechanisms among nodes and actors are a critical research challenge pertaining to the optimum allocation of sensors to a particular actor.

Although efforts related to the node-to-actor coordination problem have been presented in the current literature, there is a significant oversight regarding critical characteristics such as the heterogeneous capabilities of the actors as well as the network’s heterogeneous density.

In this paper, aiming to address such shortcomings, we introduce the term Actor Service Capacity, which indicates the ability of an actor to serve a particular number of nodes.

We also propose a novel node-to-actor coordination algorithm, based on the Voronoi tessellation, aiming to guarantee that the number of nodes, allocated to each actor, will not exceed its capabilities.

Furthermore, a set of selection techniques are proposed so as to be applied on the coordination framework.

Respective evaluation analysis offers useful conclusions and highlights the importance and the advantages of the proposed algorithm.