机构:
Univ Antilles Guyane, Lamia, Pointe a Pitre, Guadeloupe, FranceUniv Antilles Guyane, Lamia, Pointe a Pitre, Guadeloupe, France
Dessart, N.
[1
]
Fouchal, H.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Reims, CReSTIC, Reims, FranceUniv Antilles Guyane, Lamia, Pointe a Pitre, Guadeloupe, France
Fouchal, H.
[2
]
Hunel, P.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Antilles Guyane, Lamia, Pointe a Pitre, Guadeloupe, FranceUniv Antilles Guyane, Lamia, Pointe a Pitre, Guadeloupe, France
Hunel, P.
[1
]
Vidot, N.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Antilles Guyane, Lamia, Pointe a Pitre, Guadeloupe, FranceUniv Antilles Guyane, Lamia, Pointe a Pitre, Guadeloupe, France
Vidot, N.
[1
]
机构:
[1] Univ Antilles Guyane, Lamia, Pointe a Pitre, Guadeloupe, France
[2] Univ Reims, CReSTIC, Reims, France
来源:
IEEE LOCAL COMPUTER NETWORK CONFERENCE
|
2010年
关键词:
D O I:
暂无
中图分类号:
TP3 [计算技术、计算机技术];
学科分类号:
0812 ;
摘要:
The aim of this study is to suggest an automated technique for distributed decision. It is based on population protocol deployed on a Wireless Sensor Networks (WSN). This approach could be used by any medical staff to detect earlier than usual some diseases on patients. Moreover, It could be easily adapted to many other fields (fire monitoring, environment supervising, ...) In this context, a patient is equipped with health parameter transducers which are connected to a WSN. This WSN will perform some computations and will raise an alarm when some diseases are suspected. The algorithm is distributed, i.e., the decision may be done by any mote dealing with the disease detection. The experimentations show promising results.