Bandwidth Allocation For Wireless Multimedia Traffic By Using Fuzzy Logic

2006 ◽  
Author(s):  
J.D. Mallapur ◽  
S.S. Manvi ◽  
D.H. Rao
Keyword(s):  
Fuzzy Logic ◽  
Bandwidth Allocation ◽  
Multimedia Traffic ◽  
Wireless Multimedia

scholarly journals Routing in Wireless Multimedia Sensor Networks: A Survey of Existing Protocols and Open Research Issues

2016 ◽  
Vol 2016 ◽  
pp. 1-27 ◽  
Author(s):  
Vikas Bhandary ◽  
Amita Malik ◽  
Sanjay Kumar
Keyword(s):  
Sensor Networks ◽  
Real Time ◽  
Wireless Multimedia Sensor Networks ◽  
Multimedia Traffic ◽  
Wireless Multimedia ◽  
Research Issues ◽  
Multimedia Sensor Networks ◽  
Open Research ◽  
Detailed Classification ◽  
Wide Range

With the advancement of wireless sensor networks (WSNs) and technology, applicability of WSNs as a system is touching new heights. The development of multimedia nodes has led to the creation of another intelligent distributed system, which can transfer real-time multimedia traffic, ubiquitously. Wireless multimedia sensor networks (WMSNs) are applicable in a wide range of areas including area monitoring and video surveillance. But due to unreliable error-prone communication medium and application specific quality of service (QoS) requirements, routing of real-time multimedia traffic in WMSNs poses a serious problem. The paper discusses various existing routing strategies in WMSNs, with their properties and limitations which lead to open research issues. Further, detailed classification and analytical comparison of discussed protocols are also presented.

scholarly journals Sustaining Negotiated QoS in Connection Admission Control for ATM Networks Using Fuzzy Logic Techniques

10.28945/3275 ◽  
2008 ◽  
Author(s):  
Olufade F. Williams Onifade ◽  
G. Adesola Aderounmu ◽  
Oluwasikemi Tayo
Keyword(s):  
Fuzzy Logic ◽  
Admission Control ◽  
Bandwidth Allocation ◽  
Connection Admission Control ◽  
Atm Networks ◽  
Output Stage ◽  
Centroid Method ◽  
Average Cell ◽  
Connection Admission ◽  
Fuzzy Logic Technique

The objective of connection admission control (CAC) is to keep the network load moderate to achieve a performance objective associated with Quality of Service (QoS). Cell Loss Ratio (CLR), a key QoS parameter in ATM networks, is essential for proper network resources dimensioning, congestion control, bandwidth allocation and routing. In this research, we employed fuzzy logic technique in Statistical Connection Admission Control (S-CAC) - a CAC employing multiplexing of the bandwidth between the peak cell rate and the sustained (average) cell rate. The fuzzy technique consists of an input stage, a processing stage, and an output stage. We defined the rules with “max-min” inference method in which the output membership function is given the truth value generated by the premise. The results was defuzzi-fied to a crisp value using the “centroid” method which favors the rule with the output of the greatest area, and the result thereafter charted to compare it operation.

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