TY - GEN
T1 - Examination of data transmission adapting to density of sensor in triage network
AU - Saito, Takuya
AU - Tamura, Hiroki
AU - Toguchi, Yuto
AU - Shigeno, Hiroshi
PY - 2011/12/1
Y1 - 2011/12/1
N2 - Triage, emergency lifesaving systems to decide transportation priority of patients in accidents or disaster, has been introduced in recent years. Triage Network that the sensor network is applied to the triage is actively researched. In Triage Network, it is necessary to maintain high data arrival rates since living body information is handled. However when the number of patients and amounts of handled data increases, amounts of traffic increase and it becomes easy to decrease data arrival rates by the band pressure. In this paper, we propose data transmission adapting to density of sensor, DTaD. When sensor density is low, all sensor nodes transmit data at short intervals since amounts of traffic is not so huge. When sensor density is high, amounts of traffic is controlled by lengthening data transmission intervals of patients with low transportation priority and high arrival rates of data are maintained. We evaluate our proposal by the computer simulation and show this effectiveness.
AB - Triage, emergency lifesaving systems to decide transportation priority of patients in accidents or disaster, has been introduced in recent years. Triage Network that the sensor network is applied to the triage is actively researched. In Triage Network, it is necessary to maintain high data arrival rates since living body information is handled. However when the number of patients and amounts of handled data increases, amounts of traffic increase and it becomes easy to decrease data arrival rates by the band pressure. In this paper, we propose data transmission adapting to density of sensor, DTaD. When sensor density is low, all sensor nodes transmit data at short intervals since amounts of traffic is not so huge. When sensor density is high, amounts of traffic is controlled by lengthening data transmission intervals of patients with low transportation priority and high arrival rates of data are maintained. We evaluate our proposal by the computer simulation and show this effectiveness.
KW - Amounts of Traffic
KW - Data transmission interval
KW - Priority of Transportation
KW - Sensor Network
KW - Triage
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U2 - 10.1109/BWCCA.2011.20
DO - 10.1109/BWCCA.2011.20
M3 - Conference contribution
AN - SCOPUS:84855829640
SN - 9780769545325
T3 - Proceedings - 2011 International Conference on Broadband and Wireless Computing, Communication and Applications, BWCCA 2011
SP - 105
EP - 111
BT - Proceedings - 2011 International Conference on Broadband and Wireless Computing, Communication and Applications, BWCCA 2011
T2 - 6th International Conference on Broadband and Wireless Computing, Communication and Applications, BWCCA-2011
Y2 - 26 October 2011 through 28 October 2011
ER -