Exploiting gene regulatory networks for robust wireless sensor networking

Azade Nazi, Mayank Raj, Mario Di Francesco, Preetam Ghosh, Sajal K. Das

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

7 Citations (Scopus)


Gene Regulatory Networks (GRNs) represent the interactions of genes in living organisms, which have evolved over millions of years to provide a near-optimal structure for rapid adaptation to the environment. On the other hand, robustness in wireless sensor networks (WSNs) is a critical factor that largely depends on their topology and how quickly the network can recover from node and link failures. This article proposes a novel approach to design robust WSNs by exploiting GRNs. Specifically, we build bio-inspired WSNs based on the topology of GRNs. Our approach embeds the physical communication graph of the WSN into the GRN graph under the optimization criterion of minimizing the interference between different nodes. Furthermore, we propose an algorithm to identify data collection points (i.e., sinks) and improve robustness by maximizing the expansion of the network. Through an analytical evaluation, we show that our bio-inspired graph embedding approach leads to robust WSNs which preserve the structural properties of GRNs.

Original languageEnglish
Title of host publication2015 IEEE Global Communications Conference, GLOBECOM 2015
ISBN (Print)9781479959525
Publication statusPublished - 23 Feb 2016
MoE publication typeA4 Article in a conference publication
EventIEEE Global Communications Conference - San Diego, United States
Duration: 6 Dec 201510 Dec 2015
Conference number: 58


ConferenceIEEE Global Communications Conference
Abbreviated titleGLOBECOM
Country/TerritoryUnited States
CitySan Diego


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