Title: Dynamically Load Balancing of Cell Networks using Fuzzy Based Membership Functions
Publisher: Guru Nanak Publications
Series: Volume 6 Issue 1
Authors:Jasween Kaur, Kiranbir Kaur
Load balancing is usually a technique used for
enhancing the performance of cloud computing
environment. It is the process of evenly distribution of
work load over the network without disturbing the other
nodes. To attain this, a Q -Learning algorithm has been
designed for each small cell base station but it still
contains certain limitations, like the use of soft computing
algorithm is ignored in existing algorithm. Also it can be
improved further using multivalent logic i.e. fuzzy logic.
So, the proposed fuzzy logic algorithm that uses
membership functions will overcome the above limitations.
The comparison results show that the throughput can be
improved than the existing approaches by using fuzzy logic.
Also the bias value and the outage probability can be
Load Balancing; Cloud computing; Fuzzy Logic; Membership Functions; Throughput; Bias value; Outage probability.