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Published on: March 20, 2017
Primary path reservation using enhanced slot assignment in TDMA for session admission
Suresh Koneri Chandrasekaran1, Prakash Savarimuthu2, Priya Andi Elumalai3
1Department of Computer Science and Engineering, Tagore Engineering College, Chennai 600127, India.
This study introduces a novel framework, PRAC, for mobile ad hoc networks (MANETs). PRAC enhances quality of service (QoS) by combining backup routes with resource reservation for effective session admission control.
Area of Science:
- Computer Science
- Networking
Background:
- Mobile ad hoc networks (MANET) operate without infrastructure, posing challenges for Quality of Service (QoS) delivery.
- QoS is critical for real-time applications but is hindered by wireless link unreliability, node mobility, and lack of centralized control.
- Existing QoS mechanisms often focus solely on either reservation or admission control, limiting their effectiveness.
Purpose of the Study:
- To propose a novel framework, PRAC (primary path reservation admission control protocol), to improve QoS in MANETs.
- To address the limitations of current QoS mechanisms by integrating backup routes with resource reservation.
- To enhance the effectiveness of admission control in MANETs, particularly under high mobility conditions.
Main Methods:
- Developed the PRAC framework, incorporating backup routes and resource reservation.
- Simulated a network topology to evaluate the proposed PRAC protocol.
- Focused on improving slot reservation procedures within a TDMA-based system.
Main Results:
- The PRAC framework demonstrates improved QoS by effectively admitting sessions.
- The combination of backup routes and resource reservation enhances admission control performance.
- The proposed mechanism proves effective in managing QoS sessions despite network dynamics.
Conclusions:
- PRAC offers a robust solution for achieving improved QoS in MANETs.
- The integration of backup routes and resource reservation is a key factor in PRAC's success.
- The proposed framework effectively admits QoS sessions, outperforming existing approaches.
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