Abstract
This chapter describes two branches of biologically inspired approaches to networks: biologically inspired computer networks (i.e., the bio-networking architecture) and biologically inspired nanoscale biological networks (i.e., molecular communication). The first branch, biologically inspired computer networks, applies techniques and algorithms from biological systems to the design and development of computer networks. The second branch, biologically inspired nanoscale biological networks, applies techniques and algorithms from biological systems to the design and engineering of nanoscale biological networks.
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References
Aickelin, U., J. Greensmith, and J. Twycross, “Immune System Approaches to Intrusion Detection – A Review”, Proceedings of the 3rd International Conference on Artificial Immune Systems, LNCS 3239, 316–329, 2004.
Alberts, B., A. Johnson, J. Lewis, M. Raff, K. Roberts, and P. Walter, Molecular Biology of the Cell, 4th Bk8Cdr edition, Garland Science, London, 2002.
Di Caro, G., and M. Dorigo, “AntNet: Distributed Stigmergetic Control for Communications Networks”, Journal of Artificial Intelligence Research (JAIR), 9, 317–365, 1998.
Dorigo, M., G. Di Caro, and L. M. Gambardella, “Ant Algorithms for Discrete Optimization”, Artificial Life, 5(3), 137–172, 1999.
Elowitz, M. B., and S. Leibler, “A Synthetic Oscillatory Network of Transcriptional Regulators”, Nature, 403, 335–338, 2000.
Enomoto, A., M. Moore, T. Nakano, R. Egashira, T. Suda, A. Kayasuga, H. Kojima, H. Sakibara, and K. Oiwa, “A Molecular Communication System Using a Network of Cytoskeletal Filaments Communication”, 2006 NSTI Nanotechnology Conference, May 2006.
Forrest, S., S. Hofmeyr, and A. Somayaji, “Computer Immunology”, Communications of the ACM, 40(10), 88–96, 1997.
Freitas Jr, R. A., Nanomedicine, Vol. I: Basic Capabilities, Landes Bioscience, Austin, TX 1999.
George, S., D. Evans, and S. Marchette, “A Biological Programming Model for Self-Healing”, Proceedings of the 2003 ACM Workshop on Survivable and Self-Regenerative Systems, 72–81, 2002.
Hariri, S., B. Khargharia, H. Chen, J. Yang, Y. Zhang, M. Parashar, and H. Liu, “The Autonomic Computing Paradigm”, Cluster Computing: The Journal of Networks, Software Tools, and Applications, 9(1), 5–17, 2006.
Head, T., M. Yamamura, and S. Gal, “Aqueous Computing – Writing on Molecules”, Proceedings of CEC’99, 1006–1010, 1999.
Hiyama, S., Y. Isogawa, T. Suda, Y. Moritani, and K. Suto, “A Design of an Autonomous Molecule Loading/Transporting/Unloading System Using DNA Hybridization and Biomolecular Linear Motors in Molecular Communication”, European Nano Systems, December 2005.
Hiyama, S., Y. Moritani, T. Suda, R. Egashira, A. Enomoto, M. Moore, and T. Nakano, “Molecular Communication”, Proceedings of the 2005 NSTI Nanotechnology Conference, 2005.
Hofmeyr, S. A., and S. Forrest, “Architecture for an Artificial Immune System”, Evolutionary Computation, 8(4), 443–473, 2000.
Itao, T., S. Tanaka, T. Suda, and T. Aoyama, “A Framework for Adaptive UbiComp Applications Based on the Jack-in-the-Net Architecture”, Kluwer/ACM Wireless Network Journal, 10(3), 287–299, 2004.
Kephart, J. O., “A Biologically Inspired Immune System for Computers”, Proceedings of the Fourth International Workshop on the Synthesis and Simulation of Living Systems, 130–139, 1994.
Kephart, J. O., and D. M. Chess, “The Vision of Autonomic Computing”, IEEE Computer, 36(1), 41–50, 2003.
Mao, C., T. H. Labean, J. H. Reif, and N. C. Seeman, “Logical Computation Using Algorithmic Self-Assembly of DNA Triple-Crossover Molecules”, Nature, 407, 493–496, 2000.
Montresor, A., “Anthill: a Framework for the Design and Analysis of Peer-to-Peer Systems”, Proceedings of the 4th European Research Seminar on Advances in Distributed Systems, 2001.
Moore., M., A. Enomoto, T. Nakano, R. Egashira, ,T. Suda, A. Kayasuga, H. Kojima, H. Sakakibara, and K. Oiwa, “A Design of a Molecular Communication System for Nanomachines Using Molecular Motors”, Fourth Annual IEEE Conference on Pervasive Computing and Communications and Workshops, March 2006.
Moritani, Y., S. Hiyama, and T. Suda, “Molecular Communication Among Nanomachines Using Vesicles”, 2006 NSTI Nanotechnology Conference, May 2006.
Nakano, T., and T. Suda, “Self-Organizing Network Services with Evolutionary Adaptation”, IEEE Transactions on Neural Networks, 16(5), 1269–1278, 2005.
Nakano, T., T. Suda, M. Moore, R. Egashira, A. Enomoto, and K. Arima, “Molecular Communication for Nanomachines Using Intercellular Calcium Signaling”, IEEE NANO 2005, June 2005.
Sasaki, Y., M. Hashizume, K. Maruo, N. Yamasaki, J. Kikuchi, Y. Moritani, S. Hiyama, and T. Suda, “Controlled Propagation in Molecular Communication Using Tagged Liposome Containers”, BIONETICS (Bio-Inspired mOdels of NEtwork, Information and Computing Systems) 2006, December 2006.
Suda, T., T. Itao, and M Matsuo, “The Bio-Networking Architecture: The Biologically Inspired Approach to the Design of Scalable, Adaptive, and Survivable/Available Network Applications”, In K. Park (ed.), The Internet as a Large-Scale Complex System, The Santafe Institute Book Series, Oxford University Press, Oxford, 2005.
Suzuki, J., and T. Suda, “A Middleware Platform for a Biologically-Inspired Network Architecture Supporting Autonomous and Adaptive Applications”, IEEE Journal on Selected Areas in Communications (JSAC), Special Issue on Intelligent Services and Applications in Next Generation Networks, 23(2), 249–260, 2005.
Wang, M., and T. Suda, “The Bio-Networking Architecture: A Biologically Inspired Approach to the Design of Scalable, Adaptive, and Survivable/Available Network Applications”, Proceedings of the 1st IEEE Symposium on Applications and the Internet, 2001.
Weiss, R., S. Basu, S. Hooshangi, A. Kalmbach, D. Karig, R. Mehreja, and I. Netravali, “Genetic Circuit Building Blocks for Cellular Computation, Communications, and Signal Processing”, Natural Computing, 2, 47–84, 2003.
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Suda, T., Nakano, T., Moore, M., Fujii, K. (2009). Biologically Inspired Approaches to Network Systems. In: Davoli, F., Meyer, N., Pugliese, R., Zappatore, S. (eds) Grid Enabled Remote Instrumentation. Signals and Communication Technology. Springer, New York, NY. https://doi.org/10.1007/978-0-387-09663-6_6
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DOI: https://doi.org/10.1007/978-0-387-09663-6_6
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