Abstract
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Article Information:
Reliable Multicast Error Recovery Algorithm in Ad-Hoc Networks
Tariq Abdullah, Raed Alsaqour, Maha Abdelhaq, Rashid A. Saeed, Ola Alsukour
Corresponding Author: Tariq Abdullah
Submitted: March 19, 2012
Accepted: April 20, 2012
Published: November 15, 2012 |
Abstract:
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Mobile ad hoc network is an autonomous system of mobile nodes characterized by wireless links.
The major challenge in ad hoc networks lies in adapting multicast communication to several environments,
where mobility is unlimited and failures are frequent. Reliable multicast delivery requires a multicast message
to be received by all mobile nodes in the communication group. The recovery mechanism requires feedback
messages from each one of the receivers. In the tree-based recovery protocols, a group of nodes into recovery
regions designate a forwarding node per region for retransmitting lost messages. In this study, local error
recovery algorithm is applied within these relatively smaller regions, where the repaired packets are
retransmitted only to the requested receivers in the local group. These receivers create a sub group from the
local group which itself is a subgroup of the global multicast group. By applying local error recovery algorithm,
the number of duplicated packets, due to packets retransmission, decreases which lead to improving the system
performance. Simulation results demonstrate the scalability of the proposed algorithm in comparison to Source
Tree Reliable Multicast (STRM) protocol. The algorithm achieved up to 2.33% improvement on the percentage
of duplicated packets in stable mobility speed without incurring any further communication or intense
computation overhead.
Key words: Local error recovery, mobile ad hoc networks, reliable multicast, tree-based protocol, , ,
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Abstract
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Cite this Reference:
Tariq Abdullah, Raed Alsaqour, Maha Abdelhaq, Rashid A. Saeed, Ola Alsukour, . Reliable Multicast Error Recovery Algorithm in Ad-Hoc Networks. Research Journal of Applied Sciences, Engineering and Technology, (22): 4656-4662.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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