Abstract
In this paper we investigate the Maximum Lifetime Broadcast (MLB) problem, i.e. the problem of extending network lifetime when a series of broadcast operations is executed, in sensor networks with mobile nodes. For this problem, we present two localized algorithms (nodes use only 2-hop information), namely LPrim and LMCP, which are based on trees with minimum highest cost edges and shortest paths trees, respectively. The algorithms were evaluated through simulations under three distinct mobility models and compared against common broadcasting techniques (broadcasting based on a Connected Dominating Set and Flooding). According to our experiments, LPrim outperformed alternative solutions in terms of the number of successfully executed broadcasts (network lifetime) and in terms of the energy consumed by broadcast.
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Nunes, B., Barboza, F., Assis, F. (2013). Maximum Lifetime Broadcast in Mobile Sensor Networks. In: Cichoń, J., Gȩbala, M., Klonowski, M. (eds) Ad-hoc, Mobile, and Wireless Network. ADHOC-NOW 2013. Lecture Notes in Computer Science, vol 7960. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39247-4_3
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DOI: https://doi.org/10.1007/978-3-642-39247-4_3
Publisher Name: Springer, Berlin, Heidelberg
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