@inbook{133ee9609764459a9bad13bae5984fb6,
title = "Investigating coverage and connectivity trade-offs inwireless sensor networks: The benefits of MOEAs",
abstract = "How many wireless sensor nodes should be used and where should they be placed in order to form an optimal wireless sensor network (WSN) deployment? This is a difficult question to answer for a decision maker due to the conflicting objectives of deployment costs and wireless transmission reliability. Here, we address this problem using a multiobjective evolutionary algorithm (MOEA) which allows to identify the trade-offs between low-cost and highly reliable deployments- providing the decision maker with a set of good solutions to choose from. For the MOEA, we use an off-the-shelf selector and propose a problem-specific representation, an initialization scheme, and variation operators. The resulting algorithm is applied to a test deployment scenario to show the usefulness of the approach in terms of decision making.",
keywords = "Evolutionary multiobjective optimization, Variable-length representation, Wireless sensor networks",
author = "Matthias Woehrle and Dimo Brockhoff and Tim Hohm and Stefan Bleuler",
year = "2010",
month = dec,
day = "1",
doi = "10.1007/978-3-642-04045-0\_18",
language = "English",
isbn = "9783642040443",
series = "Lecture Notes in Economics and Mathematical Systems",
pages = "211--221",
editor = "Matthias Ehrgott and Theodor Stewart and Boris Naujoks and Jyrki Wallenius",
booktitle = "Multiple Criteria Decision Making for Sustainable Energy and Transportation Systems",
}