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Infrastructure Optimization of Flight-Formation Inspired Self-organization for Address Configuration in Sensor Networks

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Bio-Inspired Models of Network, Information, and Computing Systems (BIONETICS 2010)

Abstract

Self-organized sensor networks are expected to automatically configure sensor nodes into networks. Node addresses are essential for network communications, and the address size has a substantial impact on the amount of energy consumption during the long-term report of small sensing data. This paper introduces a Scalable and Dynamic Infrastructure based Configuration scheme (SDIC), which addresses the problem of how to organize a large number of sensor nodes to configure small addresses with scalability and energy efficiency. The special features that make our approach unique are the exploitation of an optimized autoconfiguration infrastructure that is inspired by the flight formation of migration birds. SDIC enables sequential address assignment in a deterministic manner without address conflicts. SDIC utilizes mechanisms of the optimized server term control to achieve the scalability of infrastructure and configuration operation. The evaluation results of SDIC show that it achieves small-size address with few conflicts and with energy efficiency.

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© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Teng, R., Zhang, B., Liu, JQ. (2012). Infrastructure Optimization of Flight-Formation Inspired Self-organization for Address Configuration in Sensor Networks. In: Suzuki, J., Nakano, T. (eds) Bio-Inspired Models of Network, Information, and Computing Systems. BIONETICS 2010. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 87. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32615-8_58

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  • DOI: https://doi.org/10.1007/978-3-642-32615-8_58

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32614-1

  • Online ISBN: 978-3-642-32615-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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