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Journal of Sensors
Volume 2017, Article ID 4523945, 16 pages
Research Article

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

Department of Electrical and Computer Engineering, University of Patras, Patras, Greece

Correspondence should be addressed to Sofia Maria Dima; rg.sartapu.ece@amids

Received 30 October 2016; Revised 17 April 2017; Accepted 23 April 2017; Published 30 May 2017

Academic Editor: Jaime Lloret

Copyright © 2017 Sofia Maria Dima et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.