An Evolutionary Approach to Underwater Sensor Deployment
Author(s) -
Erik Golen,
Bo Yuan,
Nirmala Shenoy
Publication year - 2009
Publication title -
international journal of computational intelligence systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.385
H-Index - 41
eISSN - 1875-6891
pISSN - 1875-6883
DOI - 10.1080/18756891.2009.9727653
Subject(s) - software deployment , underwater , benchmarking , computer science , real time computing , range (aeronautics) , channel (broadcasting) , wireless sensor network , underwater acoustic communication , evolutionary algorithm , telecommunications , artificial intelligence , engineering , aerospace engineering , computer network , geography , archaeology , marketing , business , operating system
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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