Abstract
The present work is concerned with the placement of router nodes in industrial environments for wireless sensor networks applications making use of artificial immune systems ideas. The motivation for using artificial immune systems lies on the properties of uniqueness, distributed sensing, learning and memory efficiency of such systems enabling the transmission of data from sensors to the gateway efficiently. As a matter of fact, that efficiency deals with a low rate of failure and other aspects such as minimizing retransmission issues done by the routers. The chosen criteria to be met are embedded in the so called affinity function which acts as an objective function. The router nodes positioning are accomplished in two modules which uses the immune systems concepts and related ideas. Different scenarios are considered for the presented examples based on oil and gas configurations and for criteria defined in the affinity function.
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Coelho, P.H.G., do Amaral, J.L.M., do Amaral, J.F.M., de Arruda Barreira, L.F., Barros, A.V. (2017). Router Nodes Placement Using Artificial Immune Systems for Wireless Sensor Industrial Networks. In: Hammoudi, S., Maciaszek, L., Missikoff, M., Camp, O., Cordeiro, J. (eds) Enterprise Information Systems. ICEIS 2016. Lecture Notes in Business Information Processing, vol 291. Springer, Cham. https://doi.org/10.1007/978-3-319-62386-3_8
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DOI: https://doi.org/10.1007/978-3-319-62386-3_8
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