id: 06065885
dt: a
an: 06065885
au: Mini, S.; Udgata, Siba K.; Sabat, Samrat L.
ti: Sensor deployment for probabilistic target $k$-coverage using artificial
    bee colony algorithm.
so: Panigrahi, Bijaya Ketan (ed.) et al., Swarm, evolutionary, and memetic
    computing. Second international conference, SEMCCO 2011, Visakhapatnam,
    Andhra Pradesh, India, December 19‒21, 2011. Proceedings, Part I.
    Berlin: Springer (ISBN 978-3-642-27171-7/pbk). Lecture Notes in
    Computer Science 7076, 654-661 (2011).
py: 2011
pu: Berlin: Springer
la: EN
cc: 
ut: sensor deployment; probabilistic coverage; target coverage; ABC algorithm;
    $k$-coverage
ci: 
li: doi:10.1007/978-3-642-27172-4_77
ab: Summary: A higher level of coverage is required for many sensitive
    applications. Though initial work on target coverage problems in
    wireless sensor networks used binary sensing model, a more realistic
    sensing model, the probabilistic sensing model has been used later.
    This work considers probabilistic $k$-coverage; where the required
    level of coverage has to be satisfied with $k$ sensors and each target
    should also be monitored with a specific probability. We compute the
    optimal deployment location of sensor nodes, such that the
    probabilistic coverage as well as the $k$-coverage requirement is
    satisfied with the required sensing range being optimal. Preliminary
    results of using artificial bee colony algorithm to solve deployment
    problem for probabilistic target $k$-coverage is reported in this
    paper.
rv: