Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
Comparison of Multi-Sensor Task Assignment Methods : Linear Matrix Inequalities vs. Brute Force. / Erofeeva, Victoria; Granichin, Oleg; Leonova, Anna.
в: IFAC-PapersOnLine, Том 51, № 32, 2018, стр. 648-653.Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
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TY - JOUR
T1 - Comparison of Multi-Sensor Task Assignment Methods
AU - Erofeeva, Victoria
AU - Granichin, Oleg
AU - Leonova, Anna
N1 - Conference code: 17
PY - 2018
Y1 - 2018
N2 - Due to significant advancements in embedded systems, sensor devices, and wireless communication technology, sensor networks have been attracting widespread attention in areas such as target tracking, monitoring, and surveillance. Technological advancements made it possible to deploy a large number of inexpensive but technically advanced sensors to cover wide areas. However, when a tracking system has to track a large number of targets, the computation and communication loads arise. In this paper, we compare two task assignment methods that might be used in the multiple target tracking problem. The first one is the brute force method and the second one is based on linear matrix inequalities. We provide performance and load testing results for these methods.
AB - Due to significant advancements in embedded systems, sensor devices, and wireless communication technology, sensor networks have been attracting widespread attention in areas such as target tracking, monitoring, and surveillance. Technological advancements made it possible to deploy a large number of inexpensive but technically advanced sensors to cover wide areas. However, when a tracking system has to track a large number of targets, the computation and communication loads arise. In this paper, we compare two task assignment methods that might be used in the multiple target tracking problem. The first one is the brute force method and the second one is based on linear matrix inequalities. We provide performance and load testing results for these methods.
KW - sensor network, task assignments, multiple target tracking, linear matrix inequalities, ellipsoidal approximation, brute force
UR - http://www.scopus.com/inward/record.url?scp=85058214363&partnerID=8YFLogxK
U2 - 10.1016/j.ifacol.2018.11.498
DO - 10.1016/j.ifacol.2018.11.498
M3 - статья
AN - SCOPUS:85058214363
VL - 51
SP - 648
EP - 653
JO - IFAC-PapersOnLine
JF - IFAC-PapersOnLine
SN - 2405-8963
IS - 32
Y2 - 15 October 2018 through 19 December 2018
ER -
ID: 35254451