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Abstract Due to high mobility of nodes in mobile ad hoc networks (MANETs), there exist frequent link breakages which lead tofrequent path failures and route discoveries. The overhead of a route discovery cannot be neglected. In a route discovery,broadcasting is a fundamental and effective data dissemination mechanism, where a mobile node blindly rebroadcasts the firstreceived route request packets unless it has a route to the destination, and thus it causes the broadcast storm problem. In this system,we propose a neighbor coverage-based probabilistic rebroadcast protocol for reducing routing overhead in MANETs. In order toeffectively exploit the neighbor coverage knowledge, we propose a novel rebroadcast delay to determine the rebroadcast order, andthen we can obtain the more accurate additional coverage ratio by sensing neighbor coverage knowledge. We also define aconnectivity factor to provide the node density adaptation.
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A Neighbor Coverage-Based Probabilistic Rebroadcast for Reducing Routing Overhead in Mobile Ad Hoc Networks
Abstract
Due to high mobility of nodes in mobile ad hoc networks (MANETs), there exist
frequent link breakages which lead to frequent path failures and route discoveries. The
overhead of a route discovery cannot be neglected. In a route discovery, broadcasting is
a fundamental and effective data dissemination mechanism, where a mobile node
blindly rebroadcasts the first received route request packets unless it has a route to the
destination, and thus it causes the broadcast storm problem. In this system, we propose
a neighbor coverage-based probabilistic rebroadcast protocol for reducing routing
overhead in MANETs. In order to effectively exploit the neighbor coverage knowledge,
we propose a novel rebroadcast delay to determine the rebroadcast order, and then we
can obtain the more accurate additional coverage ratio by sensing neighbor coverage
knowledge. We also define a connectivity factor to provide the node density adaptation.
By combining the additional coverage ratio and connectivity factor, we set a reasonable
rebroadcast probability. Our approach combines the advantages of the neighbor
coverage knowledge and the probabilistic mechanism, which can significantly decrease
the number of retransmissions so as to reduce the routing overhead, and can also
improve the routing performance.
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