{"status":"public","title":"Self-Organization in Sensor Networks using Bio-Inspired Mechanisms","_id":"54948","type":"conference","year":"2005","author":[{"last_name":"Dressler","first_name":"Falko","full_name":"Dressler, Falko"},{"id":"49428","last_name":"Krueger","orcid":"0000-0001-5351-1785","first_name":"Bettina","full_name":"Krueger, Bettina"},{"last_name":"Fuchs","first_name":"Gerhard","full_name":"Fuchs, Gerhard"},{"last_name":"German","full_name":"German, Reinhard","first_name":"Reinhard"}],"date_created":"2024-06-30T14:01:12Z","department":[{"_id":"35"},{"_id":"22"}],"date_updated":"2024-06-30T14:01:23Z","language":[{"iso":"eng"}],"publisher":"Springer","publication":"18th ACM/GI/ITG International Conference on Architecture of Computing Systems - System Aspects in Organic and Pervasive Computing (ARCS 2005): Workshop Self-Organization and Emergence","page":"139–144","user_id":"49428","citation":{"apa":"Dressler, F., Krueger, B., Fuchs, G., &#38; German, R. (2005). Self-Organization in Sensor Networks using Bio-Inspired Mechanisms. <i>18th ACM/GI/ITG International Conference on Architecture of Computing Systems - System Aspects in Organic and Pervasive Computing (ARCS 2005): Workshop Self-Organization and Emergence</i>, 139–144.","chicago":"Dressler, Falko, Bettina Krueger, Gerhard Fuchs, and Reinhard German. “Self-Organization in Sensor Networks Using Bio-Inspired Mechanisms.” In <i>18th ACM/GI/ITG International Conference on Architecture of Computing Systems - System Aspects in Organic and Pervasive Computing (ARCS 2005): Workshop Self-Organization and Emergence</i>, 139–144. Innsbruck, Austria: Springer, 2005.","short":"F. Dressler, B. Krueger, G. Fuchs, R. German, in: 18th ACM/GI/ITG International Conference on Architecture of Computing Systems - System Aspects in Organic and Pervasive Computing (ARCS 2005): Workshop Self-Organization and Emergence, Springer, Innsbruck, Austria, 2005, pp. 139–144.","ieee":"F. Dressler, B. Krueger, G. Fuchs, and R. German, “Self-Organization in Sensor Networks using Bio-Inspired Mechanisms,” in <i>18th ACM/GI/ITG International Conference on Architecture of Computing Systems - System Aspects in Organic and Pervasive Computing (ARCS 2005): Workshop Self-Organization and Emergence</i>, 2005, pp. 139–144.","ama":"Dressler F, Krueger B, Fuchs G, German R. Self-Organization in Sensor Networks using Bio-Inspired Mechanisms. In: <i>18th ACM/GI/ITG International Conference on Architecture of Computing Systems - System Aspects in Organic and Pervasive Computing (ARCS 2005): Workshop Self-Organization and Emergence</i>. Springer; 2005:139–144.","mla":"Dressler, Falko, et al. “Self-Organization in Sensor Networks Using Bio-Inspired Mechanisms.” <i>18th ACM/GI/ITG International Conference on Architecture of Computing Systems - System Aspects in Organic and Pervasive Computing (ARCS 2005): Workshop Self-Organization and Emergence</i>, Springer, 2005, pp. 139–144.","bibtex":"@inproceedings{Dressler_Krueger_Fuchs_German_2005, place={Innsbruck, Austria}, title={Self-Organization in Sensor Networks using Bio-Inspired Mechanisms}, booktitle={18th ACM/GI/ITG International Conference on Architecture of Computing Systems - System Aspects in Organic and Pervasive Computing (ARCS 2005): Workshop Self-Organization and Emergence}, publisher={Springer}, author={Dressler, Falko and Krueger, Bettina and Fuchs, Gerhard and German, Reinhard}, year={2005}, pages={139–144} }"},"abstract":[{"lang":"eng","text":"Bio-inspired communication methodologies promise to enable more scalable self-organizing network infrastructures. Especially in the area of mobile ad hoc sensor networks, such solutions are required in order to qualify them for simplified development and deployment based on autonomously evolving mechanisms to work on global tasks, i.e. to show an emergent behavior. In this paper, we introduce the ongoing research of our Autonomic Networking group focused on the developments on efficient data dissemination in sensor networks. A particular example of how to study biological processes and to adapt the results in communication networks, the feedback loop mechanism, depicts the potentials of this research area."}],"place":"Innsbruck, Austria"}