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Distributing Energy Consumption in Multi-interface Series-Parallel Networks

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 927))

Abstract

Nowadays, communication networks are composed by heterogeneous devices that can communicate by means of multiple interfaces. By choosing which interfaces to activate (switch-on) at each device, several connections might be established. That is, the devices at the endpoints of each connection share at least one active interface. This is at the basis of a new but well-investigated model referred in the literature to as Multi-Interface networks. In this paper, we consider a new variant of the original model where each device is limited to activate at most a fixed number p of its available interfaces. In particular, we consider the so-called Coverage problem. Given a network \(G=(V,E)\), nodes V represent devices, edges E represent connections that can be established. The aim is to activate at most p interfaces at each node in order to establish all the connections defined by E. A connection is established whenever the two endpoints activate one common interface. Recently, the problem has been proved to be \(\textit{NP}\)-hard even for the basic case of \(p=2\). Then, various resolution algorithms have been provided for different graph topologies. Here we keep on investigating on the case \(p=2\) when the underlying graph represents a so-called Series-Parallel network. We provide an optimal resolution algorithm based on dynamic programming for this intriguing graph class.

The work has been supported in part by the European project “Geospatial based Environment for Optimisation Systems Addressing Fire Emergencies” (GEO-SAFE), contract no. H2020-691161, and by the Italian National Group for Scientific Computation (GNCS-INdAM).

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Correspondence to Alfredo Navarra .

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Aloisio, A., Navarra, A., Mostarda, L. (2019). Distributing Energy Consumption in Multi-interface Series-Parallel Networks. In: Barolli, L., Takizawa, M., Xhafa, F., Enokido, T. (eds) Web, Artificial Intelligence and Network Applications. WAINA 2019. Advances in Intelligent Systems and Computing, vol 927. Springer, Cham. https://doi.org/10.1007/978-3-030-15035-8_71

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