TY  - JOUR
T1  - GA Induced QoS Routing Approach in OFDM Wireless Network
AU - Beyer, Ingrid AU - Rawat, Swati AU - Günther, Christine AU - Kramer, Anna AU - Siebert-Cole, Erika 
JO  - International Journal of Soft Computing
VL  - 15
IS  - 3
SP  - 70
EP  - 77
PY  - 2020
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2020.70.77
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2020.70.77
KW  - GA
KW  -QoS
KW  -routing
KW  -OFDM
KW  -delay against network load
KW  -EA
KW  -latency
KW  -end-to-end throughput
KW  -transmission rate
KW  -data traffic
AB  - Orthogonal Frequency Division Multiplexing
(OFDM) is the new facet of wireless modulation
technique. The core strength of this technology lies in
effectively good spectral efficiency and tolerance to
fading. It appears to be the best-suited modulation
technique to harness the ever growing data needs in a
wireless network. The QoS (Quality of Service) enabled
routing process is a complex set of optimizing features on
which quality of data transmission in a wireless network
depends while there are certain dynamic changes taking
place in channel conditions invariably. The traffic matrix
exhibits the frequently changing data traffic requirements
in a heterogeneous network. The objective of this paper is
to come up with a routing strategy that puts QoS
constraints and metrics in focus while evaluating the
performance of a routing technique in OFDM wireless
network. The traffic matrix is displaying the data
connections which are provided to users on their
respective QoS demands. This study introduces GA based
approach to enhance the QoS routing performance which
seems to be an open question as strong data network
requirements are growing exponentially. The proposed
approach works in two steps starting with improved traffic
population and routes by applying Genetic algorithm
techniques and later considering QoS constraints to
evaluate the performance of routing strategy. GA induced
QoS routing approach yields improved results for data
routing in OFDM wireless networks.
ER  -