International Journal of Computational Intelligence Systems

Volume 2, Issue 3, December 2009, Pages 184 - 201

An Evolutionary Approach to Underwater Sensor Deployment

Authors
Erik F. Golen, Bo Yuan, Nirmala Shenoy
Corresponding Author
Erik F. Golen
Available Online 5 November 2009.
DOI
https://doi.org/10.2991/ijcis.2009.2.3.2How to use a DOI?
Keywords
Underwater sensor networks, sensor deployment strategies, range dependence, evolutionary algorithms.
Abstract
Underwater sensor deployment for military surveillance is a significant challenge due to the inherent difficulties posed by the underwater channel in terms of sensing and communications between sensors, as well as the exorbitant cost of the sensors. As a result, these sensors must be deployed as efficiently as possible. The proposed Underwater Sensor Deployment Evolutionary Algorithm considers six important factors that have not yet been simultaneously considered due to the ensuing complexity of the problem. Two principle studies are presented in this work, a benchmarking study that shows the effectiveness of the algorithm and a simulation study that outlines the inevitable effect of communications range on the sensing capabilities on an underwater sensor field.
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This is an open access article distributed under the CC BY-NC license.

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
2 - 3
Pages
184 - 201
Publication Date
2009/11
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.2991/ijcis.2009.2.3.2How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - Erik F. Golen
AU  - Bo Yuan
AU  - Nirmala Shenoy
PY  - 2009
DA  - 2009/11
TI  - An Evolutionary Approach to Underwater Sensor Deployment
JO  - International Journal of Computational Intelligence Systems
SP  - 184
EP  - 201
VL  - 2
IS  - 3
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2009.2.3.2
DO  - https://doi.org/10.2991/ijcis.2009.2.3.2
ID  - Golen2009
ER  -