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Geographic GReedy routing with ACO recovery strategy GRACO

Abstract : Geographic routing is an attractive routing strategy in wireless sensor networks. It works well in dense networks, but it may suffer from the void problem. For this purpose, a recovery step is required to guarantee packet delivery. Face routing has widely been used as a recovery strategy since proved to guarantee delivery. However, it relies on a planar graph not always achievable in realistic wireless networks and may generate long paths. In this paper, we propose GRACO, a new geographic routing algorithm that combines a greedy forwarding and a recovery strategy based on swarm intelligence. During recovery, ant packets search for alternative paths and drop pheromone trails to guide next packets within the network. GRACO avoids holes and produces near optimal paths. Simulation results demonstrate that GRACO leads to a significant improvement of routing performance and scalability when compared to the literature algorithms.
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Submitted on : Monday, July 13, 2015 - 11:34:23 AM
Last modification on : Monday, June 28, 2021 - 3:00:06 PM
Long-term archiving on: : Wednesday, April 26, 2017 - 3:29:33 AM


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  • HAL Id : hal-01136305, version 1



Mouna Rekik, Nathalie Mitton, Zied Chtourou. Geographic GReedy routing with ACO recovery strategy GRACO. Ad Hoc Now 2015, Jun 2015, Athens, Greece. ⟨hal-01136305⟩



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