TY - GEN
T1 - Optimal evolutionary-based deployment of mobile sensor networks
AU - Shafiabady, Niusha
AU - Nekoui, Mohammad Ali
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
KW - Fully informed particle swarm optimization
KW - Mobile sensor networks
UR - http://www.scopus.com/inward/record.url?scp=71549137436&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-05253-8_62
DO - 10.1007/978-3-642-05253-8_62
M3 - Conference Paper published in Proceedings
SN - 3642052525
SN - 9783642052521
VL - 5855
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 563
EP - 567
BT - Artificial Intelligence and Computational Intelligence - International Conference, AICI 2009, Proceedings
T2 - International Conference on Artificial Intelligence and Computational Intelligence, AICI 2009
Y2 - 7 November 2009 through 8 November 2009
ER -