Research Article
Infrastructure Optimization of Flight-Formation Inspired Self-organization for Address Configuration in Sensor Networks
@INPROCEEDINGS{10.1007/978-3-642-32615-8_58, author={Rui Teng and Bing Zhang and Jian-Qin Liu}, title={Infrastructure Optimization of Flight-Formation Inspired Self-organization for Address Configuration in Sensor Networks}, proceedings={Bio-Inspired Models of Network, Information, and Computing Systems. 5th International ICST Conference, BIONETICS 2010, Boston, USA, December 1-3, 2010, Revised Selected Papers}, proceedings_a={BIONETICS}, year={2012}, month={10}, keywords={Self-organization bird flight formation address autoconfiguration network infrastructure}, doi={10.1007/978-3-642-32615-8_58} }- Rui Teng
Bing Zhang
Jian-Qin Liu
Year: 2012
Infrastructure Optimization of Flight-Formation Inspired Self-organization for Address Configuration in Sensor Networks
BIONETICS
Springer
DOI: 10.1007/978-3-642-32615-8_58
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.