Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | MILCOM 2009 - 2009 IEEE Military Communications Conference |
| DOIs | |
| Publication status | Published - 2009 Dec 1 |
| Event | 2009 IEEE Military Communications Conference, MILCOM 2009 - Boston, MA, United States Duration: 2009 Oct 18 → 2009 Oct 21 |
Other
| Other | 2009 IEEE Military Communications Conference, MILCOM 2009 |
|---|---|
| Country | United States |
| City | Boston, MA |
| Period | 09/10/18 → 09/10/21 |
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All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
Cite this
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K-nearest dominant search on wireless sensor networks. / Kim, Chul Kyoon; Park, Jin Woo; Lee, Mu Woong; You, Gae Won; Hwang, Seungwon.
MILCOM 2009 - 2009 IEEE Military Communications Conference. 2009. 5379785.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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, Seungwon
PY - 2009/12/1
Y1 - 2009/12/1
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
SN - 9781424452385
BT - MILCOM 2009 - 2009 IEEE Military Communications Conference
ER -