- ข้อความ
- ประวัติศาสตร์
IV. VE R TICAL HAN DOFF DECISION AL
IV. VE R TICAL HAN DOFF DECISION ALGO RI T HM (VHDA)
A. Fuzzy logic based VHDA
Fuzzy logic based VHDA is applied to the handoffs
initiated by mobile nodes (MNs). For instance, when a MN
moves in an area covered by WLAN and TD-SCDMA, it
will detect a new wireless link or suffer severe signal
degradation of the current link. In such situations, fuzzy
logic based VHDA is used to select an optimized network
for the MN.
The advantage of fuzzy logic based VHDA is the ability
to take multiple parameters into account and give the best
possible solution for handoff decision, especially when the
nature of the problem exhibits uncertainty.
The algorithm first requires the establishment of fuzzy
sets and rules. By appropriate membership functions, the
input parameters are changed from the crisp numbers into the
fuzzy sets, which is called the fuzzification. Then the fuzzy
sets are fed into the fuzzy inference engine to be analyzed
based on the pre-defined fuzzy rules. Finally, the results of
fuzzy inference are converted back to a crisp output through
the defuzzification process. The output from the defuzzier
determines whether a handoff is necessary. Fig. 2 shows the
basic process of the fuzzy logic system.
In this paper, the input parameters are the handoff
decision criteria, that is received signal strength (RSS),
available network bandwidth (B), monetary cost (C) and user
preference (PF).
After the inputs have been collected originally, they are
mapped into the normalized values by the normalized
functions (1), (2), (3) and (4).
Each of the normalized input parameters is assigned to
one of three fuzzy sets by membership functions. The fuzzy
sets are: Low, Medium and High. The membership functions
(MFs) of RSS, B, C and PF are shown in Fig. 3.
The fuzzy inference engine is based on the Sugeno fuzzy
mference system, whose computational performance is more
efficient than its counterpart, the Mamdani system. Some of
the IF-THEN rules are defined as follows:
• IF RSS is Low, and B is Low, and C is High, and PF
is Low, THEN handoff factor is 1.
• IF RSS is Medium, and B is Low, and C is Medium,
and P F is High, THEN handoff factor is 5.
• IF RSS is High, and B is High, and C is Low, and PF
is High, THEN handoff factor is 10.
The range of handoff factor is from 1 to 10. The larger
the handoff factor is, the higher the possibility to handoff to
WLAN.
In this paper, we use Centre of Gravity method as the
defuzzification operation. The crisp output from the
defuzzification block is used to select the most appropriate
network for the MN.
The handoff decision scheme is presented as follows:
• If the output is less than 4, then the MN chooses TD-SCDMA.
If the current access network is WLAN
then the MN makes a handoff; otherwise, no handoff.
• If the output is more than 6.5, then the MN chooses
WLAN. If the current access network is TD-SCDMA,
then the MN makes a handoff; otherwise, no handoff.
• !f the output is between 4 and 6.5, then the MN stays
m the current access network. This could reduce the
unnecessary handoffs and eliminate the ping-pong effect.
The flowchart of fuzzy logic based VHDA is shown in Fig. 4.
Fuzzy logic based VHDA proposed in this subsection
focuses on the handoffs initiated by MNs. The algorithm is
able to make accurate handoff decisions and reduce
redundant handoffs.
B. Cost function based VHDA
Sometimes an attachment point (e.g., an AP or a BS) has
to select some of the MNs to be handed over to release some
resources and relieve its heavy load. This kind of handoffs is
initiated by attachment points. For example, there are too
many MNs served by a WLAN AP. Consequently, the AP
cannot offer services to the new calls inside its service area
or the handoff calls from TD-SCDMA. In order to relieve the
heavy load of WLAN, some of the MNs are selected by the
AP and handed over to other nearby attachment points.
As mentioned earlier, fuzzy logic based VHDA has its
advantages, which can offer precise handoff evaluation and
help to select the optimized network. However, it also has
the limitations. Compared with cost function based VHDA
the computational work of fuzzy logic based VHDA is
relatively much. This has almost no impact on handoffs
initiated by MNs because each MN can sufficiently deal with
its own computational work and make handoff decisions
quickly. However, for handoffs initiated by an attachment
point, a great quantity of the computation about handoff
decisions relies on the attachment point, whose available
resources are already quite limited. If fuzzy logic based
VHDA IS employed in this situation, it is intolerable for an
attachment point to do such a large amount of computational
work to make fast and efficient handoff decisions.
In order to balance the issue of limited resources and the
accuracy of handoff decisions, cost function based VHDA is
introduced for the handoffs initiated by attachment points.
The cost function is used to determine whether the MN
should keep staying in the current access network or handoff
to the target network. In this subsection, we further classify
the handoff decision criteria into positive metrics and
negative metrics. Suppose that m positive metrics and n
negative metrics are considered in the cost function based
VHDA. The cost function is given by (5):
……….
All the MNs that connect with the same AP or BS are
sorted according to their cost values. Then the AP or BS will
select some MNs with lower cost values and put them on the
top of a handoff list.
A. Fuzzy logic based VHDA
Fuzzy logic based VHDA is applied to the handoffs
initiated by mobile nodes (MNs). For instance, when a MN
moves in an area covered by WLAN and TD-SCDMA, it
will detect a new wireless link or suffer severe signal
degradation of the current link. In such situations, fuzzy
logic based VHDA is used to select an optimized network
for the MN.
The advantage of fuzzy logic based VHDA is the ability
to take multiple parameters into account and give the best
possible solution for handoff decision, especially when the
nature of the problem exhibits uncertainty.
The algorithm first requires the establishment of fuzzy
sets and rules. By appropriate membership functions, the
input parameters are changed from the crisp numbers into the
fuzzy sets, which is called the fuzzification. Then the fuzzy
sets are fed into the fuzzy inference engine to be analyzed
based on the pre-defined fuzzy rules. Finally, the results of
fuzzy inference are converted back to a crisp output through
the defuzzification process. The output from the defuzzier
determines whether a handoff is necessary. Fig. 2 shows the
basic process of the fuzzy logic system.
In this paper, the input parameters are the handoff
decision criteria, that is received signal strength (RSS),
available network bandwidth (B), monetary cost (C) and user
preference (PF).
After the inputs have been collected originally, they are
mapped into the normalized values by the normalized
functions (1), (2), (3) and (4).
Each of the normalized input parameters is assigned to
one of three fuzzy sets by membership functions. The fuzzy
sets are: Low, Medium and High. The membership functions
(MFs) of RSS, B, C and PF are shown in Fig. 3.
The fuzzy inference engine is based on the Sugeno fuzzy
mference system, whose computational performance is more
efficient than its counterpart, the Mamdani system. Some of
the IF-THEN rules are defined as follows:
• IF RSS is Low, and B is Low, and C is High, and PF
is Low, THEN handoff factor is 1.
• IF RSS is Medium, and B is Low, and C is Medium,
and P F is High, THEN handoff factor is 5.
• IF RSS is High, and B is High, and C is Low, and PF
is High, THEN handoff factor is 10.
The range of handoff factor is from 1 to 10. The larger
the handoff factor is, the higher the possibility to handoff to
WLAN.
In this paper, we use Centre of Gravity method as the
defuzzification operation. The crisp output from the
defuzzification block is used to select the most appropriate
network for the MN.
The handoff decision scheme is presented as follows:
• If the output is less than 4, then the MN chooses TD-SCDMA.
If the current access network is WLAN
then the MN makes a handoff; otherwise, no handoff.
• If the output is more than 6.5, then the MN chooses
WLAN. If the current access network is TD-SCDMA,
then the MN makes a handoff; otherwise, no handoff.
• !f the output is between 4 and 6.5, then the MN stays
m the current access network. This could reduce the
unnecessary handoffs and eliminate the ping-pong effect.
The flowchart of fuzzy logic based VHDA is shown in Fig. 4.
Fuzzy logic based VHDA proposed in this subsection
focuses on the handoffs initiated by MNs. The algorithm is
able to make accurate handoff decisions and reduce
redundant handoffs.
B. Cost function based VHDA
Sometimes an attachment point (e.g., an AP or a BS) has
to select some of the MNs to be handed over to release some
resources and relieve its heavy load. This kind of handoffs is
initiated by attachment points. For example, there are too
many MNs served by a WLAN AP. Consequently, the AP
cannot offer services to the new calls inside its service area
or the handoff calls from TD-SCDMA. In order to relieve the
heavy load of WLAN, some of the MNs are selected by the
AP and handed over to other nearby attachment points.
As mentioned earlier, fuzzy logic based VHDA has its
advantages, which can offer precise handoff evaluation and
help to select the optimized network. However, it also has
the limitations. Compared with cost function based VHDA
the computational work of fuzzy logic based VHDA is
relatively much. This has almost no impact on handoffs
initiated by MNs because each MN can sufficiently deal with
its own computational work and make handoff decisions
quickly. However, for handoffs initiated by an attachment
point, a great quantity of the computation about handoff
decisions relies on the attachment point, whose available
resources are already quite limited. If fuzzy logic based
VHDA IS employed in this situation, it is intolerable for an
attachment point to do such a large amount of computational
work to make fast and efficient handoff decisions.
In order to balance the issue of limited resources and the
accuracy of handoff decisions, cost function based VHDA is
introduced for the handoffs initiated by attachment points.
The cost function is used to determine whether the MN
should keep staying in the current access network or handoff
to the target network. In this subsection, we further classify
the handoff decision criteria into positive metrics and
negative metrics. Suppose that m positive metrics and n
negative metrics are considered in the cost function based
VHDA. The cost function is given by (5):
……….
All the MNs that connect with the same AP or BS are
sorted according to their cost values. Then the AP or BS will
select some MNs with lower cost values and put them on the
top of a handoff list.
0/5000
IV. VE R TICAL HAN DOFF DECISION ALGO RI T HM (VHDA) A. Fuzzy logic based VHDA Fuzzy logic based VHDA is applied to the handoffs initiated by mobile nodes (MNs). For instance, when a MN moves in an area covered by WLAN and TD-SCDMA, it will detect a new wireless link or suffer severe signal degradation of the current link. In such situations, fuzzy logic based VHDA is used to select an optimized network for the MN. The advantage of fuzzy logic based VHDA is the ability to take multiple parameters into account and give the best possible solution for handoff decision, especially when the nature of the problem exhibits uncertainty. The algorithm first requires the establishment of fuzzy sets and rules. By appropriate membership functions, the input parameters are changed from the crisp numbers into the fuzzy sets, which is called the fuzzification. Then the fuzzy sets are fed into the fuzzy inference engine to be analyzed based on the pre-defined fuzzy rules. Finally, the results of fuzzy inference are converted back to a crisp output through the defuzzification process. The output from the defuzzier determines whether a handoff is necessary. Fig. 2 shows the basic process of the fuzzy logic system. In this paper, the input parameters are the handoff decision criteria, that is received signal strength (RSS), available network bandwidth (B), monetary cost (C) and user preference (PF). After the inputs have been collected originally, they are mapped into the normalized values by the normalized functions (1), (2), (3) and (4). Each of the normalized input parameters is assigned to one of three fuzzy sets by membership functions. The fuzzy sets are: Low, Medium and High. The membership functions(MFs) of RSS, B, C and PF are shown in Fig. 3.The fuzzy inference engine is based on the Sugeno fuzzy mference system, whose computational performance is more efficient than its counterpart, the Mamdani system. Some of the IF-THEN rules are defined as follows: • IF RSS is Low, and B is Low, and C is High, and PFis Low, THEN handoff factor is 1. • IF RSS is Medium, and B is Low, and C is Medium, and P F is High, THEN handoff factor is 5. • IF RSS is High, and B is High, and C is Low, and PF is High, THEN handoff factor is 10. The range of handoff factor is from 1 to 10. The larger the handoff factor is, the higher the possibility to handoff to WLAN. In this paper, we use Centre of Gravity method as the defuzzification operation. The crisp output from the defuzzification block is used to select the most appropriate network for the MN. The handoff decision scheme is presented as follows: • If the output is less than 4, then the MN chooses TD-SCDMA. If the current access network is WLAN then the MN makes a handoff; otherwise, no handoff.• If the output is more than 6.5, then the MN chooses WLAN. If the current access network is TD-SCDMA, then the MN makes a handoff; otherwise, no handoff.• !f the output is between 4 and 6.5, then the MN stays m the current access network. This could reduce the unnecessary handoffs and eliminate the ping-pong effect. The flowchart of fuzzy logic based VHDA is shown in Fig. 4. Fuzzy logic based VHDA proposed in this subsection focuses on the handoffs initiated by MNs. The algorithm is able to make accurate handoff decisions and reduce redundant handoffs. B. Cost function based VHDA Sometimes an attachment point (e.g., an AP or a BS) has to select some of the MNs to be handed over to release some resources and relieve its heavy load. This kind of handoffs is initiated by attachment points. For example, there are too many MNs served by a WLAN AP. Consequently, the AP cannot offer services to the new calls inside its service area or the handoff calls from TD-SCDMA. In order to relieve the heavy load of WLAN, some of the MNs are selected by the AP and handed over to other nearby attachment points. As mentioned earlier, fuzzy logic based VHDA has its advantages, which can offer precise handoff evaluation and help to select the optimized network. However, it also has the limitations. Compared with cost function based VHDA the computational work of fuzzy logic based VHDA isrelatively much. This has almost no impact on handoffs initiated by MNs because each MN can sufficiently deal with its own computational work and make handoff decisions quickly. However, for handoffs initiated by an attachment point, a great quantity of the computation about handoff decisions relies on the attachment point, whose available resources are already quite limited. If fuzzy logic based VHDA IS employed in this situation, it is intolerable for an attachment point to do such a large amount of computational work to make fast and efficient handoff decisions. In order to balance the issue of limited resources and the accuracy of handoff decisions, cost function based VHDA is introduced for the handoffs initiated by attachment points. The cost function is used to determine whether the MN should keep staying in the current access network or handoff to the target network. In this subsection, we further classify the handoff decision criteria into positive metrics and negative metrics. Suppose that m positive metrics and n negative metrics are considered in the cost function basedVHDA. The cost function is given by (5): ……….All the MNs that connect with the same AP or BS are sorted according to their cost values. Then the AP or BS will select some MNs with lower cost values and put them on the top of a handoff list.
การแปล กรุณารอสักครู่..
IV. VE R TICAL HAN DOFF DECISION ALGO RI T HM (VHDA)
A. Fuzzy logic based VHDA
Fuzzy logic based VHDA is applied to the handoffs
initiated by mobile nodes (MNs). For instance, when a MN
moves in an area covered by WLAN and TD-SCDMA, it
will detect a new wireless link or suffer severe signal
degradation of the current link. In such situations, fuzzy
logic based VHDA is used to select an optimized network
for the MN.
The advantage of fuzzy logic based VHDA is the ability
to take multiple parameters into account and give the best
possible solution for handoff decision, especially when the
nature of the problem exhibits uncertainty.
The algorithm first requires the establishment of fuzzy
sets and rules. By appropriate membership functions, the
input parameters are changed from the crisp numbers into the
fuzzy sets, which is called the fuzzification. Then the fuzzy
sets are fed into the fuzzy inference engine to be analyzed
based on the pre-defined fuzzy rules. Finally, the results of
fuzzy inference are converted back to a crisp output through
the defuzzification process. The output from the defuzzier
determines whether a handoff is necessary. Fig. 2 shows the
basic process of the fuzzy logic system.
In this paper, the input parameters are the handoff
decision criteria, that is received signal strength (RSS),
available network bandwidth (B), monetary cost (C) and user
preference (PF).
After the inputs have been collected originally, they are
mapped into the normalized values by the normalized
functions (1), (2), (3) and (4).
Each of the normalized input parameters is assigned to
one of three fuzzy sets by membership functions. The fuzzy
sets are: Low, Medium and High. The membership functions
(MFs) of RSS, B, C and PF are shown in Fig. 3.
The fuzzy inference engine is based on the Sugeno fuzzy
mference system, whose computational performance is more
efficient than its counterpart, the Mamdani system. Some of
the IF-THEN rules are defined as follows:
• IF RSS is Low, and B is Low, and C is High, and PF
is Low, THEN handoff factor is 1.
• IF RSS is Medium, and B is Low, and C is Medium,
and P F is High, THEN handoff factor is 5.
• IF RSS is High, and B is High, and C is Low, and PF
is High, THEN handoff factor is 10.
The range of handoff factor is from 1 to 10. The larger
the handoff factor is, the higher the possibility to handoff to
WLAN.
In this paper, we use Centre of Gravity method as the
defuzzification operation. The crisp output from the
defuzzification block is used to select the most appropriate
network for the MN.
The handoff decision scheme is presented as follows:
• If the output is less than 4, then the MN chooses TD-SCDMA.
If the current access network is WLAN
then the MN makes a handoff; otherwise, no handoff.
• If the output is more than 6.5, then the MN chooses
WLAN. If the current access network is TD-SCDMA,
then the MN makes a handoff; otherwise, no handoff.
• !f the output is between 4 and 6.5, then the MN stays
m the current access network. This could reduce the
unnecessary handoffs and eliminate the ping-pong effect.
The flowchart of fuzzy logic based VHDA is shown in Fig. 4.
Fuzzy logic based VHDA proposed in this subsection
focuses on the handoffs initiated by MNs. The algorithm is
able to make accurate handoff decisions and reduce
redundant handoffs.
B. Cost function based VHDA
Sometimes an attachment point (e.g., an AP or a BS) has
to select some of the MNs to be handed over to release some
resources and relieve its heavy load. This kind of handoffs is
initiated by attachment points. For example, there are too
many MNs served by a WLAN AP. Consequently, the AP
cannot offer services to the new calls inside its service area
or the handoff calls from TD-SCDMA. In order to relieve the
heavy load of WLAN, some of the MNs are selected by the
AP and handed over to other nearby attachment points.
As mentioned earlier, fuzzy logic based VHDA has its
advantages, which can offer precise handoff evaluation and
help to select the optimized network. However, it also has
the limitations. Compared with cost function based VHDA
the computational work of fuzzy logic based VHDA is
relatively much. This has almost no impact on handoffs
initiated by MNs because each MN can sufficiently deal with
its own computational work and make handoff decisions
quickly. However, for handoffs initiated by an attachment
point, a great quantity of the computation about handoff
decisions relies on the attachment point, whose available
resources are already quite limited. If fuzzy logic based
VHDA IS employed in this situation, it is intolerable for an
attachment point to do such a large amount of computational
work to make fast and efficient handoff decisions.
In order to balance the issue of limited resources and the
accuracy of handoff decisions, cost function based VHDA is
introduced for the handoffs initiated by attachment points.
The cost function is used to determine whether the MN
should keep staying in the current access network or handoff
to the target network. In this subsection, we further classify
the handoff decision criteria into positive metrics and
negative metrics. Suppose that m positive metrics and n
negative metrics are considered in the cost function based
VHDA. The cost function is given by (5):
……….
All the MNs that connect with the same AP or BS are
sorted according to their cost values. Then the AP or BS will
select some MNs with lower cost values and put them on the
top of a handoff list.
A. Fuzzy logic based VHDA
Fuzzy logic based VHDA is applied to the handoffs
initiated by mobile nodes (MNs). For instance, when a MN
moves in an area covered by WLAN and TD-SCDMA, it
will detect a new wireless link or suffer severe signal
degradation of the current link. In such situations, fuzzy
logic based VHDA is used to select an optimized network
for the MN.
The advantage of fuzzy logic based VHDA is the ability
to take multiple parameters into account and give the best
possible solution for handoff decision, especially when the
nature of the problem exhibits uncertainty.
The algorithm first requires the establishment of fuzzy
sets and rules. By appropriate membership functions, the
input parameters are changed from the crisp numbers into the
fuzzy sets, which is called the fuzzification. Then the fuzzy
sets are fed into the fuzzy inference engine to be analyzed
based on the pre-defined fuzzy rules. Finally, the results of
fuzzy inference are converted back to a crisp output through
the defuzzification process. The output from the defuzzier
determines whether a handoff is necessary. Fig. 2 shows the
basic process of the fuzzy logic system.
In this paper, the input parameters are the handoff
decision criteria, that is received signal strength (RSS),
available network bandwidth (B), monetary cost (C) and user
preference (PF).
After the inputs have been collected originally, they are
mapped into the normalized values by the normalized
functions (1), (2), (3) and (4).
Each of the normalized input parameters is assigned to
one of three fuzzy sets by membership functions. The fuzzy
sets are: Low, Medium and High. The membership functions
(MFs) of RSS, B, C and PF are shown in Fig. 3.
The fuzzy inference engine is based on the Sugeno fuzzy
mference system, whose computational performance is more
efficient than its counterpart, the Mamdani system. Some of
the IF-THEN rules are defined as follows:
• IF RSS is Low, and B is Low, and C is High, and PF
is Low, THEN handoff factor is 1.
• IF RSS is Medium, and B is Low, and C is Medium,
and P F is High, THEN handoff factor is 5.
• IF RSS is High, and B is High, and C is Low, and PF
is High, THEN handoff factor is 10.
The range of handoff factor is from 1 to 10. The larger
the handoff factor is, the higher the possibility to handoff to
WLAN.
In this paper, we use Centre of Gravity method as the
defuzzification operation. The crisp output from the
defuzzification block is used to select the most appropriate
network for the MN.
The handoff decision scheme is presented as follows:
• If the output is less than 4, then the MN chooses TD-SCDMA.
If the current access network is WLAN
then the MN makes a handoff; otherwise, no handoff.
• If the output is more than 6.5, then the MN chooses
WLAN. If the current access network is TD-SCDMA,
then the MN makes a handoff; otherwise, no handoff.
• !f the output is between 4 and 6.5, then the MN stays
m the current access network. This could reduce the
unnecessary handoffs and eliminate the ping-pong effect.
The flowchart of fuzzy logic based VHDA is shown in Fig. 4.
Fuzzy logic based VHDA proposed in this subsection
focuses on the handoffs initiated by MNs. The algorithm is
able to make accurate handoff decisions and reduce
redundant handoffs.
B. Cost function based VHDA
Sometimes an attachment point (e.g., an AP or a BS) has
to select some of the MNs to be handed over to release some
resources and relieve its heavy load. This kind of handoffs is
initiated by attachment points. For example, there are too
many MNs served by a WLAN AP. Consequently, the AP
cannot offer services to the new calls inside its service area
or the handoff calls from TD-SCDMA. In order to relieve the
heavy load of WLAN, some of the MNs are selected by the
AP and handed over to other nearby attachment points.
As mentioned earlier, fuzzy logic based VHDA has its
advantages, which can offer precise handoff evaluation and
help to select the optimized network. However, it also has
the limitations. Compared with cost function based VHDA
the computational work of fuzzy logic based VHDA is
relatively much. This has almost no impact on handoffs
initiated by MNs because each MN can sufficiently deal with
its own computational work and make handoff decisions
quickly. However, for handoffs initiated by an attachment
point, a great quantity of the computation about handoff
decisions relies on the attachment point, whose available
resources are already quite limited. If fuzzy logic based
VHDA IS employed in this situation, it is intolerable for an
attachment point to do such a large amount of computational
work to make fast and efficient handoff decisions.
In order to balance the issue of limited resources and the
accuracy of handoff decisions, cost function based VHDA is
introduced for the handoffs initiated by attachment points.
The cost function is used to determine whether the MN
should keep staying in the current access network or handoff
to the target network. In this subsection, we further classify
the handoff decision criteria into positive metrics and
negative metrics. Suppose that m positive metrics and n
negative metrics are considered in the cost function based
VHDA. The cost function is given by (5):
……….
All the MNs that connect with the same AP or BS are
sorted according to their cost values. Then the AP or BS will
select some MNs with lower cost values and put them on the
top of a handoff list.
การแปล กรุณารอสักครู่..
4 . ได้ R ติกอลฮัน doff ตัดสินใจอัลกอริ T หือ ( vhda )
. ตรรกศาสตร์ฟัซซี่ที่ใช้ vhda
ตาม vhda ใช้กับ handoffs
ริเริ่มโดยโหนดเคลื่อนที่ ( mns ) ตัวอย่างเช่นเมื่อ MN
เคลื่อนไหวในพื้นที่ที่ครอบคลุมโดย WLAN และ ล้าน มัน
จะตรวจสอบการเชื่อมโยงไร้สายใหม่หรือประสบการสลายตัวของการเชื่อมโยงสัญญาณ
อย่างรุนแรงในปัจจุบัน ในสถานการณ์ดังกล่าว , ฟัซซี่
vhda ตามตรรกะที่ใช้ในการเลือกที่ดีที่สุดสำหรับเครือข่าย
)
ประโยชน์ของตรรกศาสตร์ที่ใช้ vhda คือความสามารถ
ใช้พารามิเตอร์หลายลงในบัญชีและให้ที่ดีที่สุดที่เป็นไปได้สำหรับการตัดสินใจการแก้ไข
โดยเฉพาะเมื่อลักษณะของปัญหาที่แสดงความไม่แน่นอน
วิธีแรกต้องจัดตั้งชุดฟัซซี่
และกฎโดยฟังก์ชันสมาชิกที่เหมาะสม
ป้อนพารามิเตอร์มีการเปลี่ยนแปลงจากตัวเลขคมชัดใน
ชุดฟัซซี่ซึ่งเรียกว่าฟัซซีฟิเคชั่น . แล้วเลือน
ชุด อาหาร เป็น กลไกการอนุมานฟัซซีสามารถวิเคราะห์
ตามที่กำหนดไว้ล่วงหน้าแบบกฎ ในที่สุด ผลของการอนุมานฟัซซีจะถูกแปลงกลับไป
ผลคมชัดผ่านกระบวนการดีฟัซซิฟิเคชัน .ผลผลิตจาก defuzzier
กำหนดว่าเธอจะเป็น รูปที่ 2 แสดง
กระบวนการพื้นฐานของระบบตรรกศาสตร์ฟัซซี
ในกระดาษ , ป้อนพารามิเตอร์เป็นแฮนด์ออฟ
เกณฑ์การตัดสินใจ นั่นคือความแรงสัญญาณที่รับได้ ( RSS ) ,
แบนด์วิดธ์เครือข่ายที่มีอยู่ ( B ) , ต้นทุนทางการเงิน ( C ) และการตั้งค่า
( PF )
หลังจากกระผมได้เก็บแต่เดิมพวกเขา
. ตรรกศาสตร์ฟัซซี่ที่ใช้ vhda
ตาม vhda ใช้กับ handoffs
ริเริ่มโดยโหนดเคลื่อนที่ ( mns ) ตัวอย่างเช่นเมื่อ MN
เคลื่อนไหวในพื้นที่ที่ครอบคลุมโดย WLAN และ ล้าน มัน
จะตรวจสอบการเชื่อมโยงไร้สายใหม่หรือประสบการสลายตัวของการเชื่อมโยงสัญญาณ
อย่างรุนแรงในปัจจุบัน ในสถานการณ์ดังกล่าว , ฟัซซี่
vhda ตามตรรกะที่ใช้ในการเลือกที่ดีที่สุดสำหรับเครือข่าย
)
ประโยชน์ของตรรกศาสตร์ที่ใช้ vhda คือความสามารถ
ใช้พารามิเตอร์หลายลงในบัญชีและให้ที่ดีที่สุดที่เป็นไปได้สำหรับการตัดสินใจการแก้ไข
โดยเฉพาะเมื่อลักษณะของปัญหาที่แสดงความไม่แน่นอน
วิธีแรกต้องจัดตั้งชุดฟัซซี่
และกฎโดยฟังก์ชันสมาชิกที่เหมาะสม
ป้อนพารามิเตอร์มีการเปลี่ยนแปลงจากตัวเลขคมชัดใน
ชุดฟัซซี่ซึ่งเรียกว่าฟัซซีฟิเคชั่น . แล้วเลือน
ชุด อาหาร เป็น กลไกการอนุมานฟัซซีสามารถวิเคราะห์
ตามที่กำหนดไว้ล่วงหน้าแบบกฎ ในที่สุด ผลของการอนุมานฟัซซีจะถูกแปลงกลับไป
ผลคมชัดผ่านกระบวนการดีฟัซซิฟิเคชัน .ผลผลิตจาก defuzzier
กำหนดว่าเธอจะเป็น รูปที่ 2 แสดง
กระบวนการพื้นฐานของระบบตรรกศาสตร์ฟัซซี
ในกระดาษ , ป้อนพารามิเตอร์เป็นแฮนด์ออฟ
เกณฑ์การตัดสินใจ นั่นคือความแรงสัญญาณที่รับได้ ( RSS ) ,
แบนด์วิดธ์เครือข่ายที่มีอยู่ ( B ) , ต้นทุนทางการเงิน ( C ) และการตั้งค่า
( PF )
หลังจากกระผมได้เก็บแต่เดิมพวกเขา
การแปล กรุณารอสักครู่..
ภาษาอื่น ๆ
การสนับสนุนเครื่องมือแปลภาษา: กรีก, กันนาดา, กาลิเชียน, คลิงออน, คอร์สิกา, คาซัค, คาตาลัน, คินยารวันดา, คีร์กิซ, คุชราต, จอร์เจีย, จีน, จีนดั้งเดิม, ชวา, ชิเชวา, ซามัว, ซีบัวโน, ซุนดา, ซูลู, ญี่ปุ่น, ดัตช์, ตรวจหาภาษา, ตุรกี, ทมิฬ, ทาจิก, ทาทาร์, นอร์เวย์, บอสเนีย, บัลแกเรีย, บาสก์, ปัญจาป, ฝรั่งเศส, พาชตู, ฟริเชียน, ฟินแลนด์, ฟิลิปปินส์, ภาษาอินโดนีเซี, มองโกเลีย, มัลทีส, มาซีโดเนีย, มาราฐี, มาลากาซี, มาลายาลัม, มาเลย์, ม้ง, ยิดดิช, ยูเครน, รัสเซีย, ละติน, ลักเซมเบิร์ก, ลัตเวีย, ลาว, ลิทัวเนีย, สวาฮิลี, สวีเดน, สิงหล, สินธี, สเปน, สโลวัก, สโลวีเนีย, อังกฤษ, อัมฮาริก, อาร์เซอร์ไบจัน, อาร์เมเนีย, อาหรับ, อิกโบ, อิตาลี, อุยกูร์, อุสเบกิสถาน, อูรดู, ฮังการี, ฮัวซา, ฮาวาย, ฮินดี, ฮีบรู, เกลิกสกอต, เกาหลี, เขมร, เคิร์ด, เช็ก, เซอร์เบียน, เซโซโท, เดนมาร์ก, เตลูกู, เติร์กเมน, เนปาล, เบงกอล, เบลารุส, เปอร์เซีย, เมารี, เมียนมา (พม่า), เยอรมัน, เวลส์, เวียดนาม, เอสเปอแรนโต, เอสโทเนีย, เฮติครีโอล, แอฟริกา, แอลเบเนีย, โคซา, โครเอเชีย, โชนา, โซมาลี, โปรตุเกส, โปแลนด์, โยรูบา, โรมาเนีย, โอเดีย (โอริยา), ไทย, ไอซ์แลนด์, ไอร์แลนด์, การแปลภาษา.
- ฉันสามารถช่วยคุณได้
- taining fatty acids (see Table 2 for str
- ความแตกต่างในการแต่งกาย มนุษย์เป็นสัตว์โ
- นำกลับไป
- please
- 7.ปลาเทราต์นึ่งมะนาว
- เมื่อวันศุกร์ ไปกินหมูกระทะที่บ้านเพื่อน
- ฉันจต้องได้เกรดที่ยอดเยี่ยม
- Politicians have focused solutions Thail
- Benefit
- coffee was introduced and grown.
- ฉันรู้สึกน้อยใจ
- ทำให้เป็นโรค
- สลัดผลไม้
- ผลลัพธ์ (ภาษาอังกฤษ) 3:Do you see me?
- Did you work on your thesis today?
- Understanding Plant Vacuolar Trafficking
- Mid October me back to the provinces.
- How are you today feel very good to meet
- มาถอดกางเกงฉันสิ
- are you Working with someone
- คุณเห็นฉันได้ยังไงคะ
- Take as much sleep
- The consumer’s doppelganger sca lemeasur
