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Sensors 2016, 16(7), 1047;

Rule-Based vs. Behavior-Based Self-Deployment for Mobile Wireless Sensor Networks

Departamento de Tecnologia Electronica, ETSI Telecomunicacion, Campus de Teatinos s/n, University of Malaga, Malaga 29010, Spain
These authors contributed equally to this work.
Author to whom correspondence should be addressed.
Academic Editors: Vladimir Villarreal and Carmelo R. García
Received: 28 April 2016 / Revised: 13 June 2016 / Accepted: 5 July 2016 / Published: 7 July 2016
(This article belongs to the Special Issue Selected Papers from UCAmI, IWAAL and AmIHEALTH 2015)
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In mobile wireless sensor networks (MWSN), nodes are allowed to move autonomously for deployment. This process is meant: (i) to achieve good coverage; and (ii) to distribute the communication load as homogeneously as possible. Rather than optimizing deployment, reactive algorithms are based on a set of rules or behaviors, so nodes can determine when to move. This paper presents an experimental evaluation of both reactive deployment approaches: rule-based and behavior-based ones. Specifically, we compare a backbone dispersion algorithm with a social potential fields algorithm. Most tests are done under simulation for a large number of nodes in environments with and without obstacles. Results are validated using a small robot network in the real world. Our results show that behavior-based deployment tends to provide better coverage and communication balance, especially for a large number of nodes in areas with obstacles. View Full-Text
Keywords: mesh mobile sensor networks; Wireless sensor network (WSN); deployment; social potential fields (SPF); BDA mesh mobile sensor networks; Wireless sensor network (WSN); deployment; social potential fields (SPF); BDA

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Urdiales, C.; Aguilera, F.; González-Parada, E.; Cano-García, J.; Sandoval, F. Rule-Based vs. Behavior-Based Self-Deployment for Mobile Wireless Sensor Networks. Sensors 2016, 16, 1047.

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