TY - GEN
T1 - K-nearest dominant search on wireless sensor networks
AU - Kim, Chul Kyoon
AU - Park, Jin Woo
AU - Lee, Mu Woong
AU - You, Gae Won
AU - Hwang, Seung Won
PY - 2009
Y1 - 2009
N2 - The Network Centric Warfare(NCW) model is currently attracting attention in modern warfare research. In this model, data processing issues, such as efficiently determining enemies of high threat, are critical for optimizing war tactics. In this paper, by adopting the concept of skyline queries which have been extensively studied in database research, we address the problem of searching highly threatening enemies, named "dominants". While skyline queries have been extensively studied in database research, most existing solutions assume centralized scenarios. However, during warfare, tactics should consider data distributed all over the field, where existing solutions for centralized scenarios cannot apply. In this paper, we treat each Forward Air Controller in Close Air Support operation as a sensor node and propose a novel algorithm to determine dominants. Our proposed algorithm works by considering the distance from the query to the enemies, and prioritizes the retrieval of enemies of high threat.
AB - The Network Centric Warfare(NCW) model is currently attracting attention in modern warfare research. In this model, data processing issues, such as efficiently determining enemies of high threat, are critical for optimizing war tactics. In this paper, by adopting the concept of skyline queries which have been extensively studied in database research, we address the problem of searching highly threatening enemies, named "dominants". While skyline queries have been extensively studied in database research, most existing solutions assume centralized scenarios. However, during warfare, tactics should consider data distributed all over the field, where existing solutions for centralized scenarios cannot apply. In this paper, we treat each Forward Air Controller in Close Air Support operation as a sensor node and propose a novel algorithm to determine dominants. Our proposed algorithm works by considering the distance from the query to the enemies, and prioritizes the retrieval of enemies of high threat.
UR - http://www.scopus.com/inward/record.url?scp=77951467389&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77951467389&partnerID=8YFLogxK
U2 - 10.1109/MILCOM.2009.5379785
DO - 10.1109/MILCOM.2009.5379785
M3 - Conference contribution
AN - SCOPUS:77951467389
SN - 9781424452385
T3 - Proceedings - IEEE Military Communications Conference MILCOM
BT - MILCOM 2009 - 2009 IEEE Military Communications Conference
T2 - 2009 IEEE Military Communications Conference, MILCOM 2009
Y2 - 18 October 2009 through 21 October 2009
ER -