Next Article in Journal
A Cyber-Physical System for Girder Hoisting Monitoring Based on Smartphones
Next Article in Special Issue
A Framework for the Development of Context-Adaptable User Interfaces for Ubiquitous Computing Systems
Previous Article in Journal
Node Detection and Internode Length Estimation of Tomato Seedlings Based on Image Analysis and Machine Learning
Previous Article in Special Issue
A Novel Wearable Sensor-Based Human Activity Recognition Approach Using Artificial Hydrocarbon Networks
Article Menu

Export Article

Open AccessArticle
Sensors 2016, 16(7), 1047; doi:10.3390/s16071047

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)
View Full-Text   |   Download PDF [7091 KB, uploaded 11 July 2016]   |  

Abstract

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
Figures

Figure 1

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. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

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.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top