1. A discovery method of a hardware network node in a distributed network, comprising:
determining a discovery back-off time that is a transmission wait time of a discovery message based on levels of priority of the hardware network node; and transmitting the discovery message using the discovery back-off time;
wherein the determining of the discovery back-off time further comprises:
calculating an increment of the back-off time in accordance with the number of levels of the priority assigned to the network,
calculating a range of the back-off time using the increment of the back-off time and the levels of the priority of the hardware network node, and
randomly determining the discovery back-off time within the range of the back-off time;
wherein, in the calculating of the range of the back-off time, the range of the back-off time is determined between a lower limit value obtained by multiplying the increment of the back-off time by (n\u22121) and an upper limit value obtained by multiplying the increment of the back-off time by n, when the number of levels of the priority is n.
2. The discovery method according to claim 1, wherein, in the calculating of the increment of the back-off time, the increment of the back-off time is calculated by dividing a difference between a maximum back-off time and a minimum back-off time by the number of levels of the priority.
3. The discovery method according to claim 1, wherein a default random back-off time set in advance is determined as the discovery back-off time when the levels of the priority of the network node are absent.
4. The discovery method according to claim 1, further comprising: requesting the levels of the priority of the network node from an application layer.
5. The discovery method according to claim 1, wherein, in the transmitting of the discovery message, the discovery message is transmitted repeatedly during the discovery back-off time.
6. The discovery method according to claim 1, further comprising: receiving, from another network node, a discovery message transmitted using a discovery back-off time of the other network node determined based on levels of priority of the other network node to thereby discover the other network node.
7. The discovery method according to claim 1, wherein the determining of the discovery back-off time is performed during a participant discovery process accompanying start of a bootstrap of the network node.
8. The discovery method according to claim 1, wherein the levels of the priority are determined using at least one of a plurality of QoS types generated in a DCPS layer.
9. A hardware network node which operates in a distributed network, comprising: a discovery performing unit that determines a discovery back-off time that is a transmission wait time of a discovery message based on levels of priority of the network node; and a communication unit that transmits the discovery message using the discovery back-off time;
wherein the discovery performing unit
calculates an increment of the back-off time in accordance with the number of levels of the priority assigned to the network,
calculates a range of the back-off time using the increment of the back-off time and the levels of the priority of the hardware network node, and
randomly determines the discovery back-off time within the range of the back-off time:
wherein the discovery performing unit determines the range of the back-off time between a lower limit value obtained by multiplying the increment of the back-off time by (n\u22121) and an upper limit value obtained by multiplying the increment of the back-off time by n, when the number of levels of the priority is n.
10. The network node according to claim 9, wherein the discovery performing unit calculates the increment of the back-off time by dividing a difference between a maximum back-off time and a minimum back-off time by the number of levels of the priority.
11. The network node according to claim 9, wherein the discovery performing unit determines a default random back-off time set in advance as the discovery back-off time, when the levels of the priority of the network node are absent.
12. The network node according to claim 9, wherein the communication unit repeatedly transmits the discovery message during the discovery back-off time.
13. The network node according to claim 9, wherein the communication unit receives, from another network node, a discovery message transmitted using a discovery back-off time of the other network node determined based on levels of priority of the other network node.
14. A method of determining a discovery back-off time of a hardware network node in a distributed network, the method comprising:
calculating a range of the back-off time using levels of priority of the network node; and randomly determining the discovery back-off time within the range of the back-off time;
wherein the calculating of the range of the back-off time further includes calculating an increment of the back-off time in accordance with the number of levels of the priority assigned to the network, and the range of the back-off time is calculated using the increment of the back-off time and the levels of the priority of the hardware network node.
wherein, in the calculating of the range of the back-off time, the range of the back-off time is determined between a lower limit value obtained by multiplying the increment of the back-off time by (n\u22121) and an upper limit value obtained by multiplying the increment of the back-off time by n, when the number of levels of the priority is n.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. A system comprising:
a processor; and
a computer-readable medium operably coupled to the processor, the computer-readable medium having computer-readable instructions stored thereon that, when executed by the processor, cause the system to
(a) receive values for a plurality of physiological characteristics of a patient;
(b) compare the received values to a complex alert rule associated with a medical condition, wherein the complex alert rule comprises a plurality of alert rules, wherein each alert rule comprises an indicator of a physiological characteristic of a patient associated with the alert rule and a condition priority associated with an urgency of the alert rule, and further wherein the complex alert rule comprises a trigger rule, wherein the trigger rule includes a plurality of rules wherein each rule includes a number of satisfied alert rules for each value of the condition priority;
(c) determine a number of alert rules of the plurality of alert rules that are satisfied for each condition priority of the complex alert rule based on the comparison; and
(d) generate a complex alert if the determined number of alert rules for a condition priority satisfies the trigger rule of the complex alert rule.
2. The system of claim 1, further comprising repeating (b)-(d) for a plurality of complex alert rules.
3. The system of claim 2, wherein each of the plurality of complex alert rules is associated with a different medical condition.
4. The system of claim 2, wherein the trigger rule is the same for each of the plurality of complex alert rules.
5. The system of claim 1, wherein a rule of the plurality of rules of the trigger rule includes a number of satisfied alert rules for a single value of the condition priority.
6. The system of claim 1, wherein a rule of the plurality of rules of the trigger rule includes a number of satisfied alert rules for a plurality of values of the condition priority.
7. The system of claim 1, wherein the alert rule further comprises an alert value wherein a received value of the received values is compared to the alert value based on the indicator of the physiological characteristic to determine if the alert rule is satisfied.
8. The system of claim 7, wherein the alert value includes a maximum value wherein the alert rule is satisfied if the received value is above the maximum value.
9. The system of claim 8, wherein the alert value includes a minimum value wherein the alert rule is satisfied if the received value is below the minimum value.
10. The system of claim 7, wherein the alert value includes a minimum value wherein the alert rule is satisfied if the received value is below the minimum value.
11. The system of claim 1, wherein a received value of the received values is compared to the indicator of the physiological characteristic to determine if the alert rule is satisfied.
12. A non-transitory computer-readable medium having stored thereon computer-readable instructions that when executed by a computing device cause the computing device to:
(a) receive values of a plurality of physiological characteristics of a patient;
(b) compare the received values to a complex alert rule associated with a medical condition, wherein the complex alert rule comprises a plurality of alert rules, wherein each alert rule comprises an indicator of a physiological characteristic of a patient associated with the alert rule and a condition priority associated with an urgency of the alert rule, and further wherein the complex alert rule comprises a trigger rule, wherein the trigger rule includes a plurality of rules wherein each rule includes a number of satisfied alert rules for each value of the condition priority;
(c) determine a number of alert rules of the plurality of alert rules that are satisfied for each condition priority of the complex alert rule based on the comparison; and
(d) generate a complex alert if the determined number of alert rules for a condition priority satisfies the trigger rule of the complex alert rule.
13. The computer-readable medium of claim 12, further comprising repeating (b)-(d) for a plurality of complex alert rules.
14. The computer-readable medium of claim 13, wherein the trigger rule is the same for each of the plurality of complex alert rules.
15. The computer-readable medium of claim 12, wherein a rule of the plurality of rules of the trigger rule includes a number of satisfied alert rules for a single value of the condition priority.
16. The computer-readable medium of claim 12, wherein a rule of the plurality of rules of the trigger rule includes a number of satisfied alert rules for a plurality of values of the condition priority.
17. The computer-readable medium of claim 12, wherein the alert rule further comprises an alert value wherein a received value of the received values is compared to the alert value based on the indicator of the physiological characteristic to determine if the alert rule is satisfied.
18. The computer-readable medium of claim 17, wherein the alert value includes a maximum value wherein the alert rule is satisfied if the received value is above the maximum value.
19. The computer-readable medium of claim 12, wherein a received value of the received values is compared to the indicator of the physiological characteristic to determine if the alert rule is satisfied.
20. A method of generating a complex alert, the method comprising:
(a) receiving values of a plurality of physiological characteristics of a patient;
(b) comparing, by a processor of a computing device, the received values to a complex alert rule associated with a medical condition, wherein the complex alert rule comprises a plurality of alert rules, wherein each alert rule comprises an indicator of a physiological characteristic of a patient associated with the alert rule and a condition priority associated with an urgency of the alert rule, and further wherein the complex alert rule comprises a trigger rule, wherein the trigger rule includes a plurality of rules wherein each rule includes a number of satisfied alert rules for each value of the condition priority;
(c) determining, by a processor of a computing device, a number of alert rules of the plurality of alert rules that are satisfied for each condition priority of the complex alert rule based on the comparison; and
(d) generating, by a processor of a computing device, a complex alert if the determined number of alert rules for a condition priority satisfies the trigger rule of the complex alert rule.