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Exactly Optimal Deterministic Radio Broadcasting with Collision Detection

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Structural Information and Communication Complexity (SIROCCO 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13298))

Abstract

We consider the broadcast problem in synchronous radio broadcast models with collision detection. One node of the network is given a message that must be learned by all nodes in the network. We provide a deterministic algorithm that works on the beeping model, which is a restricted version of the radio broadcast model with collision detection. This algorithm improves on the round complexity of previous algorithms. We prove an exactly matching lower bound in the radio broadcast model with collision detection. This shows that the extra power provided by the radio broadcast model with collision detection does not help improve the round complexity.

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Acknowledgments

I would like thank my supervisor, Faith Ellen, for her patience and support throughout this project. Her insightful feedback and guidance brought my work to a much higher level. I would also like to thank the anonymous reviewers for their time and helpful comments.

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Correspondence to Koko Nanahji .

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Nanahji, K. (2022). Exactly Optimal Deterministic Radio Broadcasting with Collision Detection. In: Parter, M. (eds) Structural Information and Communication Complexity. SIROCCO 2022. Lecture Notes in Computer Science, vol 13298. Springer, Cham. https://doi.org/10.1007/978-3-031-09993-9_13

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  • DOI: https://doi.org/10.1007/978-3-031-09993-9_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-09992-2

  • Online ISBN: 978-3-031-09993-9

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