RT Conference Proceedings
T1 Joint topology optimization, power control and spectrum allocation for intra-vehicular multi-hop sensor networks using dandelion-encoded heuristics
A1 Del Ser, Javier
A1 Bilbao, Miren Nekane
A1 Perfecto, Cristina
A1 Gonzalez-Pardo, Antonio
A1 Campos-Cordobes, Sergio
A2 Burelli, Paolo
A2 Squillero, Giovanni
AB In the last years the interest in multi-hop communications has gained momentum within the research community due to the challenging characteristics of the intra-vehicular radio environment and the stringent robustness imposed on critical sensors within the vehicle. As opposed to point-to-point network topologies, multi-hop networking allows for an enhanced communication reliability at the cost of an additional processing overhead. In this context this manuscript poses a novel bi-objective optimization problem aimed at jointly minimizing (1) the average Bit Error Rate (BER) of sensing nodes under a majority fusion rule at the central data collection unit; and (2) the mean delay experienced by packets forwarded by such nodes due to multi-hop networking, frequency channel switching time multiplexing at intermediate nodes. The formulated paradigm is shown to be computationally tractable via a combination of evolutionary meta-heuristic algorithms and Dandelion codes, the latter capable of representing tree-like structures like those modeling the multi-hop routing approach. Simulations are carried out for realistic values of intra-vehicular radio channels and co-channel interference due to nearby IEEE 802.11 signals. The obtained results are promising and pave the way towards assessing the practical performance of the proposed scheme in real setups.
PB Springer Verlag
SN 9783319312033
SN 0302-9743
YR 2016
FD 2016
LA eng
NO Del Ser , J , Bilbao , M N , Perfecto , C , Gonzalez-Pardo , A & Campos-Cordobes , S 2016 , Joint topology optimization, power control and spectrum allocation for intra-vehicular multi-hop sensor networks using dandelion-encoded heuristics . in P Burelli & G Squillero (eds) , Applications of Evolutionary Computation - 19th European Conference, EvoApplications 2016, Proceedings . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , vol. 9597 , Springer Verlag , pp. 235-250 , 19th European Conference on Applications of Evolutionary Computation, EvoApplications 2016 , Porto , Portugal , 30/03/16 . https://doi.org/10.1007/978-3-319-31204-0_16
NO conference
NO Publisher Copyright: © Springer International Publishing Switzerland 2016.
NO This work has been supported by the ARTEMIS Joint Undertaking and the Spanish Ministerio de Economia y Competitividad (DEWI project, ref. 621353).
DS TECNALIA Publications
RD 29 sept 2024