Iqtidar Ali
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Iqtidar Ali has a total of 8 co-authors. Here are the top co-authors by number of shared publications:
- Altaf Hussain
Chongqing University of Posts and Telecommunications
3 shared publications - Tariq Hussain
Zhejiang Gongshang University
3 shared publications - Farooq Faisal
Institute of Computer Sciences & Information Technology, The University of Agricultural, Peshawar, Pakistan
1 shared publication - Habib Ullah Khan
Department of Accounting and Information Systems, College of Business and Economics, Qatar University, Doha, Qatar
1 shared publication - Irshad Khalil
Department of Smart Security, Gachon University, Seongnam-si 13120, Republic of Korea
1 shared publication - Muhammad Ayaz
Institute of Computer Sciences and Information Technology, The University of Agriculture, Peshawar, Pakistan
1 shared publication
Latest Publications
- 1 April 2024
- Published by Springer Nature in Wireless Personal Communications
- Vol. 135 (4) , 2229-2254
Optimization of Quality of Service in 5G Cellular Network by Focusing on Interference Management
- 1 April 2024
- Published by Springer Nature in Wireless Personal Communications
- Vol. 135 (4) , 2229-2254
Optimization of Quality of Service in 5G Cellular Network by Focusing on Interference Management
- 24 August 2021
- Published by Springer Nature in Wireless Personal Communications
- Vol. 121 (4) , 2609-2634
DLSA: Delay and Link Stability Aware Routing Protocol for Flying Ad-hoc Networks (FANETs)
- 24 August 2021
- Published by Springer Nature in Wireless Personal Communications
- Vol. 121 (4) , 2609-2634
DLSA: Delay and Link Stability Aware Routing Protocol for Flying Ad-hoc Networks (FANETs)
- 21 February 2020
- Published by Ediciones Universidad de Salamanca in ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal
- Vol. 9 (1) , 61-84
Impact of Sparse and Dense Deployment of Nodes Under Different Propagation Models in Manets
Mobile Ad-hoc Network (MANET) is the most emerging and fast-expanding technology in the last two decades. One of the major issues and challenging areas in MANET is the process of routing due to dynamic topologies and high mobility of mobile nodes. The efficiency and accuracy of a protocol depend on many parameters in these networks. In addition to other parameters node velocity and propagation models are among them. Calculating signal strength at the receiver is the responsibility of a propagation model while the mobility of nodes is responsible for the topology of the network. A huge amount of loss in performance is occurred due to the variation of signal strength at the receiver and obstacles between transmissions. In this paper,it has been analyzed to check the impact of different propagation models on the performance of Optimized Link State Routing (OLSR) in Sparse and Dense scenarios in MANET. The simulation has been carried out in NS-2 by using performance metrics as average packet drop average latency and average Throughput. The results predicted that propagation models and mobility have a strong impact on the performance of OLSR in considered scenarios.
- 21 February 2020
- Published by Ediciones Universidad de Salamanca in ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal
- Vol. 9 (1) , 61-84
Impact of Sparse and Dense Deployment of Nodes Under Different Propagation Models in Manets
Mobile Ad-hoc Network (MANET) is the most emerging and fast-expanding technology in the last two decades. One of the major issues and challenging areas in MANET is the process of routing due to dynamic topologies and high mobility of mobile nodes. The efficiency and accuracy of a protocol depend on many parameters in these networks. In addition to other parameters node velocity and propagation models are among them. Calculating signal strength at the receiver is the responsibility of a propagation model while the mobility of nodes is responsible for the topology of the network. A huge amount of loss in performance is occurred due to the variation of signal strength at the receiver and obstacles between transmissions. In this paper,it has been analyzed to check the impact of different propagation models on the performance of Optimized Link State Routing (OLSR) in Sparse and Dense scenarios in MANET. The simulation has been carried out in NS-2 by using performance metrics as average packet drop average latency and average Throughput. The results predicted that propagation models and mobility have a strong impact on the performance of OLSR in considered scenarios.