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Published on: September 27, 2019
On-demand route discovery in a unicast manner
Youngchol Choi1, Hyun Jong Yang2
1Marine ICT Research Division, Korea Research Institute of Ships and Ocean Engineering, Daejeon 34103, Republic of Korea.
This study introduces a geographical routing scheme to reduce signaling overhead in mobile ad-hoc networks. The new method uses unicast route requests, significantly improving efficiency in high-density scenarios.
Area of Science:
- Computer Science
- Network Engineering
- Wireless Communication
Background:
- Ad-hoc On-Demand Distance Vector (AODV) routing suffers from high signaling overhead due to flooding route request (RREQ) messages in dense mobile ad-hoc networks.
- This broadcast storm problem intensifies with increased node density and connections, degrading network performance.
Purpose of the Study:
- To propose a geographical on-demand route discovery scheme to mitigate the broadcast storm problem in AODV.
- To enhance routing efficiency and robustness against node density variations in mobile ad-hoc networks.
Main Methods:
- Implemented a novel unicast-based RREQ propagation mechanism using a duplicate RREQ parsing strategy.
- Derived the required node density for maintaining AODV-equivalent connectivity with uniform node distribution.
- Introduced an imaginary destination consideration method to handle destination mobility uncertainty.
Main Results:
- The proposed scheme demonstrates robustness against changes in node density.
- Simulations confirmed RREQ propagation covers 95% of the one-hop communication area around the destination's known location.
- The unicast feature of route discovery was maintained without sacrificing reachability.
Conclusions:
- The geographical on-demand routing scheme effectively reduces signaling overhead in dense mobile ad-hoc networks.
- The method offers improved robustness and efficiency compared to traditional AODV flooding.
- The approach successfully balances connectivity and reduced overhead, even with mobile destinations.
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