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BTU
Constraint-based Approach for an Early Inspection of the Feasibility of Cyber Physical Systems
(2013)
Since its first description in 1892, the adaptation of internal bone structure to changing loading conditions over time, known as Wolff 's Law, has inspired a wide range of research and imitation. This investigation presents a new bone-inspired algorithm, intended for the structural design of technical structures and capable of optimizing the shape and size of three-dimensional lattice structures. Unlike conventional structural optimization methods, it uses interacting artificial agents that closely follow the cellular behaviour of the biological blueprint. Agents iteratively move, alter cross-sections, and reposition axes in the latticework. The efficacy of the algorithm is tested and evaluated in two case studies. This agent-based approach lays the theoretical foundation for an implementation of adaptive structural building components and provides a tool for further research into the spatial aspects of natural ossification.
Neighbourhood watch is a concept that allows a community to distribute a complex security task in between all members. Members of the community carry out individual security tasks to contribute to the overall security of it. It reduces the workload of a particular individual while securing all members and allowing them to carry out a multitude of security tasks. Wireless sensor networks (WSNs) are composed of resource-constraint independent battery driven computers as nodes communicating wirelessly. Security in WSNs is essential. Without sufficient security, an attacker is able to eavesdrop the communication, tamper monitoring results or deny critical nodes providing their service in a way to cut off larger network parts. The resource-constraint nature of sensor nodes prevents them from running full-fledged security protocols. Instead, it is necessary to assess the most significant security threats and implement specialised protocols. A neighbourhood-watch inspired distributed security scheme for WSNs has been introduced by Langend\"orfer. Its goal is to increase the variety of attacks a WSN can fend off. A framework of such complexity has to be designed in multiple steps. Here, we introduce an approach to determine distributions of security means on large-scale static homogeneous WSNs. Therefore, we model WSNs as undirected graphs in which two nodes connected iff they are in transmission range. The framework aims to partition the graph into $n$ distinct security means resulting in the targeted distribution. The underlying problems turn out to be NP hard and we attempt to solve them using linear programs (LPs). To evaluate the computability of the LPs, we generate large numbers of random {\lambda}-precision unit disk graphs (UDGs) as representation of WSNs. For this purpose, we introduce a novel {\lambda}-precision UDG generator to model WSNs with a minimal distance in between nodes.
Energy efficiency is a key factor for the longevity of wireless sensor networks (WSNs). Most representatives of the plants have evolved to be highly energy-efficient in their survival strategies, despite their limited resources. Plants have to deal with a variety of threats originating from different herbivores and microbial pathogens while handling a number of abiotic stress factors. For plants and WSNs, different defence mechanisms impose different fitness costs and therefore the costs and benefits have to be well-balanced. This way, plants are able to not only conquer a large variety of different attacks but also handle several different simultaneous attacks adequately. To react early and adapt to upcoming threats, plants within a network are capable of signalling each other within a certain distance about ongoing attacks. The biological strategies of plants in terms of signalling and defence, as well as their energy and resource limitations, share significant similarities with WSNs. This study aims to explore these similarities and demonstrates the correspondence between the biological concepts and WSNs. Additionally, we present a novel approach to enhancing security in WSNs through a cooperative distributed security scheme inspired by key factors of plant defence mechanisms, with the goal of reducing the energy constraints and maximising the longevity of the network.