Abstract
Sensor and Actor Networks (SANETs) represent a specific class of massively distributed systems in which classical communication protocols often fail due to scalability problems. New control paradigms are needed in this place. This paper outlines biological communication techniques as known cellular biology, which are known as cellular signaling pathways. We show the adaptation of these principles to the world of SANETs by discussing a rule-based control system for network-centric communication and data processing. This system is able to perform data pre-processing such as data aggregation or fusion as well as data-centric communication based on rules that are distributed throughout the entire network. First simulation results demonstrate that this system is able to outperform classical routing approaches in specific SANET scenarios.
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References
Kahn, J.M., Katz, R., Pister, K.: Emerging Challenges: Mobile Networking for “Smart Dust”. Journal of Communications and Networking 2(3) (September 2000)
Akyildiz, I.F., Kasimoglu, I.H.: Wireless Sensor and Actor Networks: Research Challenges. Elsevier Ad-Hoc Networks 2, 351–367 (2004)
Melodia, T., Pompili, D., Gungor, V.C., Akyildiz, I.F.: A Distributed Coordination Framework for Wireless Sensor and Actor Networks. In: 6th ACM International Symposium on Mobile Ad-Hoc Networking and Computing (ACM Mobihoc 2005), Urbana-Champaign, Il, USA, pp. 99–110 (May 2005)
Dressler, F.: A Study of Self-Organization Mechanisms in Ad Hoc and Sensor Networks. Elsevier Computer Communications 31(13), 3018–3029 (2008)
Dressler, F., Carreras, I.: Advances in Biologically Inspired Information Systems - Models, Methods, and Tools. Studies in Computational Intelligence (SCI), vol. 69. Springer, Heidelberg (2007)
Alberts, B., Bray, D., Lewis, J., Raff, M., Roberts, K., Watson, J.D.: Molecular Biology of the Cell, 3rd edn. Garland Publishing, Inc. (1994)
Barabási, A.L., Oltvai, Z.N.: Network biology: understanding the cell’s functional organization. Nature Reviews Genetics 5(2), 101–113 (2004)
Milo, R., Shen-Orr, S., Itzkovitz, S., Kashtan, N., Chklovskii, D., Alon, U.: Network Motifs: Simple Building Blocks of Complex Networks. Nature 298, 824–827 (2002)
Calvert, K.L., Bhattacharjee, S., Zegura, E.W., Sterbenz, J.: Directions in Active Networks. IEEE Communications Magazine 36(10), 72–78 (1998)
Vitek, J., Tschudin, C.: MOS 1996. LNCS, vol. 1222. Springer, Heidelberg (1997)
Mackert, L.F., Neumeier-Mackert, I.B.: Communicating Rule Systems. In: 7th IFIP International Conference on Protocol Specification, Testing and Verification, pp. 77–88 (1987)
Haas, Z.J., Halpern, J.Y., Li, L.: Gossip-Based Ad-Hoc Routing. In: 21st IEEE Conference on Computer Communications (IEEE INFOCOM 2002), pp. 1707–1716 (June 2002)
Dressler, F., Dietrich, I., German, R., Krüger, B.: Efficient Operation in Sensor and Actor Networks Inspired by Cellular Signaling Cascades. In: 1st ICST/ACM International Conference on Autonomic Computing and Communication Systems (Autonomics 2007), Rome, Italy (October 2007)
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Dressler, F., German, R. (2008). A Rule System for Network-Centric Operation in Massively Distributed Systems. In: Liò, P., Yoneki, E., Crowcroft, J., Verma, D.C. (eds) Bio-Inspired Computing and Communication. BIOWIRE 2007. Lecture Notes in Computer Science, vol 5151. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92191-2_32
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DOI: https://doi.org/10.1007/978-3-540-92191-2_32
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