Design of Distributed Node Scheduling Scheme Inspired by Gene Regulatory Networks for Wireless Sensor Networks 


Vol. 40,  No. 10, pp. 2054-2061, Oct.  2015


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  Abstract

Biologically inspired modeling techniques have received considerable attention for their robustness, scalability, and adaptability with simple local interactions and limited information. Among these modeling techniques, Gene Regulatory Networks (GRNs) play a central role in understanding natural evolution and the development of biological organisms from cells. In this paper, we apply GRN principles to the WSN system and propose a new GRN model for decentralized node scheduling design to achieve energy balancing while meeting delay requirements. Through this scheme, each sensor node schedules its state autonomously in response to gene expression and protein concentration, which are controlled by the proposed GRN-inspired node scheduling model. Simulation results indicate that the proposed scheme achieves superior performance with energy balancing as well as desirable delay compared with other well-known schemes.

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  Cite this article

[IEEE Style]

H. Byun, "Design of Distributed Node Scheduling Scheme Inspired by Gene Regulatory Networks for Wireless Sensor Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 10, pp. 2054-2061, 2015. DOI: .

[ACM Style]

Heejung Byun. 2015. Design of Distributed Node Scheduling Scheme Inspired by Gene Regulatory Networks for Wireless Sensor Networks. The Journal of Korean Institute of Communications and Information Sciences, 40, 10, (2015), 2054-2061. DOI: .

[KICS Style]

Heejung Byun, "Design of Distributed Node Scheduling Scheme Inspired by Gene Regulatory Networks for Wireless Sensor Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 10, pp. 2054-2061, 10. 2015.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880