Vol.73, No.2, 2022, pp.3433-3453, doi:10.32604/cmc.2022.026676
An Improved Handoff Algorithm for Heterogeneous Wireless Networks
  • Deepak Dahiya1, Payal Mahajan2,*, Zaheeruddin2, Mamta Dahiya3
1 Department of Information Technology, College of Computer and Information Sciences, Majmaah University, Majmaah, Saudi Arabia
2 Department of Electrical Engineering, Jamia Millia Islamia, New Delhi, India
3 CSE Department, SGT University, Gurugram, NCR Delhi, India
* Corresponding Author: Payal Mahajan. Email:
Received 01 January 2022; Accepted 02 March 2022; Issue published 16 June 2022
Heterogeneous Wireless Network is currently a major area of focus in communication engineering. But the important issue in recent communication is the approachability to the wireless networks while maintaining the quality of service. Today, all the wireless access networks are working in tandem to keep the users always connected to the internet cloud that matches the price affordability and performance goals. In order to achieve seamless connectivity, due consideration has to be given to handoff precision and a smaller number of handoffs. Several researchers have used heuristic approaches to solve this issue. In the present work, a hybrid intelligent algorithm has been suggested for vertical handoff decisions. This hybrid intelligent algorithm is based on dual optimization approach which uses “Particle Swarm Optimization (PSO)” and “Mobile Robustness Optimization (MRO)” techniques for improving the quality of services. This approach performs well even in the failure network conditions and gives the best results in terms of connectivity. The results at the last has been compared with the conventional techniques and it has been observed that the proposed methodology outperforms the existing one.
PSO; MRO; heterogeneous wireless networks; handoff; seamless connectivity
Cite This Article
D. Dahiya, P. Mahajan, Z. and M. Dahiya, "An improved handoff algorithm for heterogeneous wireless networks," Computers, Materials & Continua, vol. 73, no.2, pp. 3433–3453, 2022.
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