Efficient communications in wireless sensor networks based on biological robustness

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

Standard

Efficient communications in wireless sensor networks based on biological robustness. / Nazi, Azade; Raj, Mayank; Di Francesco, Mario; Ghosh, Preetam; Das, Sajal K.

Proceedings - 12th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2016. Institute of Electrical and Electronics Engineers, 2016. p. 161-168 7536333 ( International Conference on Distributed Computing in Sensor Systems and workshops).

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

Harvard

Nazi, A, Raj, M, Di Francesco, M, Ghosh, P & Das, SK 2016, Efficient communications in wireless sensor networks based on biological robustness. in Proceedings - 12th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2016., 7536333, International Conference on Distributed Computing in Sensor Systems and workshops, Institute of Electrical and Electronics Engineers, pp. 161-168, International Conference on Distributed Computing in Sensor Systems, Washington, United States, 26/05/2016. https://doi.org/10.1109/DCOSS.2016.14

APA

Nazi, A., Raj, M., Di Francesco, M., Ghosh, P., & Das, S. K. (2016). Efficient communications in wireless sensor networks based on biological robustness. In Proceedings - 12th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2016 (pp. 161-168). [7536333] ( International Conference on Distributed Computing in Sensor Systems and workshops). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/DCOSS.2016.14

Vancouver

Nazi A, Raj M, Di Francesco M, Ghosh P, Das SK. Efficient communications in wireless sensor networks based on biological robustness. In Proceedings - 12th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2016. Institute of Electrical and Electronics Engineers. 2016. p. 161-168. 7536333. ( International Conference on Distributed Computing in Sensor Systems and workshops). https://doi.org/10.1109/DCOSS.2016.14

Author

Nazi, Azade ; Raj, Mayank ; Di Francesco, Mario ; Ghosh, Preetam ; Das, Sajal K. / Efficient communications in wireless sensor networks based on biological robustness. Proceedings - 12th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2016. Institute of Electrical and Electronics Engineers, 2016. pp. 161-168 ( International Conference on Distributed Computing in Sensor Systems and workshops).

Bibtex - Download

@inproceedings{1cc1c6b6c2254719acd714e1d75bee13,
title = "Efficient communications in wireless sensor networks based on biological robustness",
abstract = "Robustness in wireless sensor networks (WSNs) is a critical factor that largely depends on their network topology and on how devices can react to disruptions, including node and link failures. This article presents a novel solution to obtain robust WSNs by exploiting principles of biological robustness at nanoscale. Specifically, we consider Gene Regulatory Networks (GRNs) as a model for the interaction between genes in living organisms. GRNs have evolved over millions of years to provide robustness against adverse factors in cells and their environment. Based on this observation, we apply a method to build robust WSNs, called bio-inspired WSNs, by establishing a correspondence between the topology of GRNs and that of alreadydeployed WSNs. Through simulation in realistic conditions, we demonstrate that bio-inspired WSNs are more reliable than existing solutions for the design of robust WSNs. We also show that communications in bio-inspired WSNs have lower latency as well as lower energy consumption than the state of the art.",
keywords = "Bio-inspired, Efficient communications, Gene regulatory networks, Nanoscale properties, Performance evaluation, Robustness, Wireless sensor networks",
author = "Azade Nazi and Mayank Raj and {Di Francesco}, Mario and Preetam Ghosh and Das, {Sajal K.}",
year = "2016",
month = "8",
day = "8",
doi = "10.1109/DCOSS.2016.14",
language = "English",
series = "International Conference on Distributed Computing in Sensor Systems and workshops",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "161--168",
booktitle = "Proceedings - 12th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2016",
address = "United States",

}

RIS - Download

TY - GEN

T1 - Efficient communications in wireless sensor networks based on biological robustness

AU - Nazi, Azade

AU - Raj, Mayank

AU - Di Francesco, Mario

AU - Ghosh, Preetam

AU - Das, Sajal K.

PY - 2016/8/8

Y1 - 2016/8/8

N2 - Robustness in wireless sensor networks (WSNs) is a critical factor that largely depends on their network topology and on how devices can react to disruptions, including node and link failures. This article presents a novel solution to obtain robust WSNs by exploiting principles of biological robustness at nanoscale. Specifically, we consider Gene Regulatory Networks (GRNs) as a model for the interaction between genes in living organisms. GRNs have evolved over millions of years to provide robustness against adverse factors in cells and their environment. Based on this observation, we apply a method to build robust WSNs, called bio-inspired WSNs, by establishing a correspondence between the topology of GRNs and that of alreadydeployed WSNs. Through simulation in realistic conditions, we demonstrate that bio-inspired WSNs are more reliable than existing solutions for the design of robust WSNs. We also show that communications in bio-inspired WSNs have lower latency as well as lower energy consumption than the state of the art.

AB - Robustness in wireless sensor networks (WSNs) is a critical factor that largely depends on their network topology and on how devices can react to disruptions, including node and link failures. This article presents a novel solution to obtain robust WSNs by exploiting principles of biological robustness at nanoscale. Specifically, we consider Gene Regulatory Networks (GRNs) as a model for the interaction between genes in living organisms. GRNs have evolved over millions of years to provide robustness against adverse factors in cells and their environment. Based on this observation, we apply a method to build robust WSNs, called bio-inspired WSNs, by establishing a correspondence between the topology of GRNs and that of alreadydeployed WSNs. Through simulation in realistic conditions, we demonstrate that bio-inspired WSNs are more reliable than existing solutions for the design of robust WSNs. We also show that communications in bio-inspired WSNs have lower latency as well as lower energy consumption than the state of the art.

KW - Bio-inspired

KW - Efficient communications

KW - Gene regulatory networks

KW - Nanoscale properties

KW - Performance evaluation

KW - Robustness

KW - Wireless sensor networks

UR - http://www.scopus.com/inward/record.url?scp=84985994801&partnerID=8YFLogxK

U2 - 10.1109/DCOSS.2016.14

DO - 10.1109/DCOSS.2016.14

M3 - Conference contribution

T3 - International Conference on Distributed Computing in Sensor Systems and workshops

SP - 161

EP - 168

BT - Proceedings - 12th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2016

PB - Institute of Electrical and Electronics Engineers

ER -

ID: 7390855