id: 05639317
dt: a
an: 05639317
au: Shafiabady, Niusha; Nekoui, Mohammad Ali
ti: Optimal evolutionary-based deployment of mobile sensor networks.
so: Deng, Hepu (ed.) et al., Artificial intelligence and computational
    intelligence. International conference, AICI 2009, Shanghai, China,
    November 7‒8, 2009. Proceedings. Berlin: Springer (ISBN
    978-3-642-05252-1/pbk). Lecture Notes in Computer Science 5855. Lecture
    Notes in Artificial Intelligence, 563-567 (2009).
py: 2009
pu: Berlin: Springer
la: EN
cc: 
ut: Fully Informed Particle Swarm Optimization; Mobile sensor networks
ci: 
li: doi:10.1007/978-3-642-05253-8_62
ab: Summary: Sensor deployment is an important issue in designing sensor
    networks. Here both energy consumption and coverage factors of mobile
    sensor networks are optimized in two phases using fully informed
    particle swarm optimization (FIPSO) that has proved to have a good
    achievement and given good results. The method has been applied on
    three sets of data to test its efficiency. All results have been
    perfectly good.
rv: