Evalutionary compting model for QoS provisioning in WiMAX
- Title
- Evalutionary compting model for QoS provisioning in WiMAX
- Creator
- Mahesh D.S.; Chandramouli H.; Chitnis S.R.
- Description
- In recent time wireless technology is adopted widely for connecting remote user over network. WiMAX is an attractive technology for provisioning high data rate connectivity and coverage. QoS is a required parameter for analyzing the system performance. Before allocation of the bandwidth in the network, physical layer information is required for improving QoS performance. Many modulation techniques are used in WiMAX network. An adaptive approach is required for selection of modulation scheme to maximize network performance. Physical layer information is used for selection of modulation scheme. An adaptive genetic based scheduling is proposed in this paper for improved QoS. Experiments are conducted to evaluate performance of proposed approach in term of throughput, successful transmission and packet collision over existing approach. The outcome shows significant performance over existing approach. 2017 IEEE.
- Source
- RTEICT 2017 - 2nd IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, Proceedings, Vol-2018-January, pp. 1826-1830.
- Date
- 2017-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Genetic; Traffic; WiMaX
- Coverage
- Mahesh D.S., Dept. of CSE, Christ University Faculty of Engineering, Bangalore, India; Chandramouli H., Dept. of CSE, East Point College of Engineering, Bangalore, India; Chitnis S.R., CMR Institute of Echnology, Bangalore, India
- Rights
- Restricted Access
- Relation
- ISBN: 978-150903704-9
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Mahesh D.S.; Chandramouli H.; Chitnis S.R., “Evalutionary compting model for QoS provisioning in WiMAX,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/20945.