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The heterogeneity of connected devices, technologies, and protocols anticipated in future-generation information and communication networks also requires the development of new approaches for robust and self-adaptive systems. Recently, methods observed from biological phenomena have gained much attention as viable alternatives or inspiration for the(More)
In this paper we propose a resilient scheme for multi-path routing using a biologically-inspired attractor selection method. The main advantage of this approach is that it is highly noise-tolerant and capable of operating in a very robust manner under changing environment conditions. We will apply an enhanced attractor selection model to multi-path routing(More)
—In this paper we discuss robustness issues of a biologically inspired routing protocol for mobile ad hoc networks and the influence it has on the Quality of Service (QoS) in the system. Contrary to fixed network structures, ad hoc networks are susceptible to frequent topology changes due to the mobility and churn of the participating nodes. Our goal is(More)
In this paper, we present ICEPT, a new mobile radio network planning tool that is based on an integrated design approach. The new approach starts with the analysis of the spatial distribution of the expected teletraac within the service area of the cellular system. Employing this principle, the ICEPT tool considers concurrently the four major design areas(More)
The Adaptive Base Station Positioning Algorithm (ABPA) is presented, which is based on a neural net approximation of the traac density in the coverage area of a cellular mobile communication system. ABPA employs simulated annealing, thereby achieving quasi-optimal base station locations depending on the topography of the investigated area. Furthermore, ABPA(More)