Please use this identifier to cite or link to this item: http://www.repositorio.ufop.br/handle/123456789/8827
Title: On a vector space representation in genetic algorithms for sensor scheduling in wireless sensor networks.
Authors: Martins, Flávio Vinícius Cruzeiro
Carrano, Eduardo Gontijo
Wanner, Elizabeth Fialho
Takahashi, Ricardo Hiroshi Caldeira
Mateus, Geraldo Robson
Nakamura, Fabiola Guerra
Keywords: Wireless sensor networks
Dynamic optimization
Genetic algorithms
Issue Date: 2014
Citation: MARTINS, F. V. C. et al. On a vector space representation in genetic algorithms for sensor scheduling in wireless sensor networks. Evolutionary Computation, v. 22, p. 361-403, 2014. Disponível em: <http://www.mitpressjournals.org/doi/abs/10.1162/EVCO_a_00112?url_ver=Z39.88-2003&rfr_id=ori%3Arid%3Acrossref.org&rfr_dat=cr_pub%3Dpubmed&>. Acesso em: 28 jul. 2017.
Abstract: Recent works raised the hypothesis that the assignment of a geometry to the decision variable space of a combinatorial problem could be useful both for providingmeaningful descriptions of the fitness landscape and for supporting the systematic construction of evolutionary operators (the geometric operators) that make a consistent usage of the space geometric properties in the search for problem optima. This paper introduces some new geometric operators that constitute the realization of searches along the combinatorial space versions of the geometric entities descent directions and subspaces. The new geometric operators are stated in the specific context of the wireless sensor network dynamic coverage and connectivity problem (WSN-DCCP). A genetic algorithm (GA) is developed for the WSN-DCCP using the proposed operators, being compared with a formulation based on integer linear programming (ILP) which is solved with exact methods. That ILP formulation adopts a proxy objective function based on the minimization of energy consumption in the network, in order to approximate the objective of network lifetime maximization, and a greedy approach for dealing with the system’s dynamics. To the authors’ knowledge, the proposed GA is the first algorithm to outperform the lifetime of networks as synthesized by the ILP formulation, also running in much smaller computational times for large instances.
URI: http://www.repositorio.ufop.br/handle/123456789/8827
metadata.dc.identifier.uri2: http://www.mitpressjournals.org/doi/abs/10.1162/EVCO_a_00112?url_ver=Z39.88-2003&rfr_id=ori%3Arid%3Acrossref.org&rfr_dat=cr_pub%3Dpubmed&
metadata.dc.identifier.doi: https://doi.org/10.1162/EVCO_a_00112
ISSN: 1063-6560
Appears in Collections:DECEA - Artigos publicados em periódicos

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