Energy-aware lightpath routing and establishment in optical backbone networks can reduce energy consumption while preserving performance levels. A heuristic method based on Ant Colony Optimization (suitable for both network planning and operation) is proposed that reduces network's energy footprint by exploiting the basic principles of Swarm Intelligence for finding the most energy-efficient routes from source to the destination node per traffic request and at the same time, for reducing computational complexity to a polynomial level. The reduction of energy consumption is achieved in comparison to other related heuristics under representative backbone network topologies and their actual traffic demand. IP over WDM optical networks are considered for evaluating the performance along with the next generation elastic networks.

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Manufacturing companies increasingly become “smarter” as a result of the Industry 4.0 revolution. Multiple sensors are used for industrial monitoring of machines and workers in order to detect events and consequently improve the manufacturing processes, lower the respective costs, and increase safety. Multisensor systems produce big amounts of heterogeneous data. Data fusion techniques address the issue of multimodality by combining data from different sources and improving the results of monitoring systems. The current paper presents a detailed review of state-of-the-art data fusion solutions, on data storage and indexing from various types of sensors, feature engineering, and multimodal data integration. The review aims to serve as a guide for the early stages of an analytic pipeline of manufacturing prognosis. The reviewed literature showed that in fusion and in preprocessing, the methods chosen to be applied in this sector are beyond the state-of-the-art. Existing weaknesses and gaps that lead to future research goals were also identified.

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Elastic optical networks offer a reliable platform for achieving energy efficiency by supporting extensive optical grooming of variable-rate data traffic along with the traditional electrical data aggregation methods. The procedure of routing and spectrum allocation in a topology of nodes has explicit effect to the amount of consumed power. A new energy-efficient method for designing the virtual topology in IP-over-elastic networks is introduced and evaluated. It is concluded that it consumes less power under different elastic transponder types, it designs the virtual topology using fewer transponders, and finally, there is a slight increase in the number of end-to-end lightpath hops. The proposed method is characterized by high performance and low lightpath establishment complexity. Therefore, it is suitable for a broad range of network configurations and transponder types.

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