The aim of the Connected Maximum Lifetime Problem is to define a schedule for the activation intervals of the sensors deployed inside a region of interest, such that at all times the activated sensors can monitor a set of interesting target locations and route the collected information to a central base station, while maximizing the total amount of time over which the sensor network can be operational. Complete or partial coverage of the targets are taken into account. To optimally solve the problem, we propose a column generation approach which makes use of an appropriately designed genetic algorithm to overcome the difficulty of solving the subproblem to optimality in each iteration. Moreover, we also devise a heuristic by stopping the column generation procedure as soon as the columns found by the genetic algorithm do not improve the incumbent solution. Comparisons with previous approaches proposed in the literature show our algorithms to be highly competitive, both in terms of solution quality and computational time.
Accepté le :
DOI : 10.1051/ro/2017032
Mots-clés : Maximum lifetime, wireless sensor network, column generation, genetic algorithm, steiner tree, partial coverage
@article{RO_2017__51_3_607_0,
author = {Carrabs, Francesco and Cerulli, Raffaele and D{\textquoteright}Ambrosio, Ciriaco and Raiconi, Andrea},
title = {Exact and heuristic approaches for the maximum lifetime problem in sensor networks with coverage and connectivity constraints},
journal = {RAIRO - Operations Research - Recherche Op\'erationnelle},
pages = {607--625},
publisher = {EDP-Sciences},
volume = {51},
number = {3},
year = {2017},
doi = {10.1051/ro/2017032},
mrnumber = {3880515},
zbl = {1387.90123},
language = {en},
url = {http://archive.numdam.org/articles/10.1051/ro/2017032/}
}
TY - JOUR AU - Carrabs, Francesco AU - Cerulli, Raffaele AU - D’Ambrosio, Ciriaco AU - Raiconi, Andrea TI - Exact and heuristic approaches for the maximum lifetime problem in sensor networks with coverage and connectivity constraints JO - RAIRO - Operations Research - Recherche Opérationnelle PY - 2017 SP - 607 EP - 625 VL - 51 IS - 3 PB - EDP-Sciences UR - http://archive.numdam.org/articles/10.1051/ro/2017032/ DO - 10.1051/ro/2017032 LA - en ID - RO_2017__51_3_607_0 ER -
%0 Journal Article %A Carrabs, Francesco %A Cerulli, Raffaele %A D’Ambrosio, Ciriaco %A Raiconi, Andrea %T Exact and heuristic approaches for the maximum lifetime problem in sensor networks with coverage and connectivity constraints %J RAIRO - Operations Research - Recherche Opérationnelle %D 2017 %P 607-625 %V 51 %N 3 %I EDP-Sciences %U http://archive.numdam.org/articles/10.1051/ro/2017032/ %R 10.1051/ro/2017032 %G en %F RO_2017__51_3_607_0
Carrabs, Francesco; Cerulli, Raffaele; D’Ambrosio, Ciriaco; Raiconi, Andrea. Exact and heuristic approaches for the maximum lifetime problem in sensor networks with coverage and connectivity constraints. RAIRO - Operations Research - Recherche Opérationnelle, Tome 51 (2017) no. 3, pp. 607-625. doi : 10.1051/ro/2017032. http://archive.numdam.org/articles/10.1051/ro/2017032/
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