Next Article in Journal
Sensors and Technologies in Spain: State-of-the-Art
Previous Article in Journal
Optimization of a Cell Counting Algorithm for Mobile Point-of-Care Testing Platforms
Article Menu

Export Article

Open AccessArticle
Sensors 2014, 14(8), 15262-15281; doi:10.3390/s140815262

Particle Swarm Inspired Underwater Sensor Self-Deployment

School of Computer and Information, Hefei University of Technology, Hefei 230009, China
Department of Computing and Software, McMaster University, Hamilton L8S4K1, Canada
Author to whom correspondence should be addressed.
Received: 9 June 2014 / Revised: 27 July 2014 / Accepted: 8 August 2014 / Published: 19 August 2014
(This article belongs to the Section Sensor Networks)
View Full-Text   |   Download PDF [1341 KB, uploaded 20 August 2014]   |  


Underwater sensor networks (UWSNs) can be applied in sea resource reconnaissance, pollution monitoring and assistant navigation, etc., and have become a hot research field in wireless sensor networks. In open and complicated underwater environments, targets (events) tend to be highly dynamic and uncertain. It is important to deploy sensors to cover potential events in an optimal manner. In this paper, the underwater sensor deployment problem and its performance evaluation metrics are introduced. Furthermore, a particle swarm inspired sensor self-deployment algorithm is presented. By simulating the flying behavior of particles and introducing crowd control, the proposed algorithm can drive sensors to cover almost all the events, and make the distribution of sensors match that of events. Through extensive simulations, we demonstrate that it can solve the underwater sensor deployment problem effectively, with fast convergence rate, and amiable to distributed implementation. View Full-Text
Keywords: underwater sensor networks; sensor deployment; coverage efficiency; particle swarm; crowd factor; water flow field underwater sensor networks; sensor deployment; coverage efficiency; particle swarm; crowd factor; water flow field

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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

Du, H.; Xia, N.; Zheng, R. Particle Swarm Inspired Underwater Sensor Self-Deployment. Sensors 2014, 14, 15262-15281.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



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