EERO: Energy Efficient Route Optimization Technique for IoT Network

J. Shreyas; Dharamendra Chouhan; Sowmya T. Rao; P. K. Udayaprasad; N. N. Srinidhi; S. M. Dilip Kumar

doi:10.1007/978-981-16-1483-5_19

EERO: Energy Efficient Route Optimization Technique for IoT Network

J. Shreyas^*
, Dharamendra Chouhan
, Sowmya T. Rao
, P. K. Udayaprasad
, N. N. Srinidhi
, S. M. Dilip Kumar

^*Corresponding author for this work

School of Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

In the real world, it is essential to establish efficient routes in the Internet of Things (IoT) since sensor nodes operate mainly on battery and have limited energy. In this paper, an energy efficient routing technique is proposed to select an optimal routing path from source to destination for the transmission of data. Genetic algorithm (GA) is an optimization technique which is integrated into the proposed work to select an optimal path among the available paths. Since the proposed method selects an optimal path from source cluster head to the sink, this reduces the energy consumption and improves the lifetime of network. The validity of the proposed algorithm is evaluated in MATLAB simulation tool and results generate superiority while considering parameters such as energy consumption, delay and number of rounds.

Original language	English
Title of host publication	Futuristic Trends in Network and Communication Technologies - Third International Conference, FTNCT 2020, Revised Selected Papers
Editors	Pradeep Kumar Singh, Gennady Veselov, Anton Pljonkin, Yugal Kumar, Marcin Paprzycki, Yuri Zachinyaev
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	207-218
Number of pages	12
ISBN (Print)	9789811614828
DOIs	https://doi.org/10.1007/978-981-16-1483-5_19
Publication status	Published - 2021
Event	3rd International Conference on Futuristic Trends in Network and Communication Technologies, FTNCT 2020 - Taganrog, Russian Federation Duration: 14-10-2020 → 16-10-2020

Publication series

Name	Communications in Computer and Information Science
Volume	1396 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	3rd International Conference on Futuristic Trends in Network and Communication Technologies, FTNCT 2020
Country/Territory	Russian Federation
City	Taganrog
Period	14-10-20 → 16-10-20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

General Computer Science
General Mathematics

Access to Document

10.1007/978-981-16-1483-5_19

Cite this

Shreyas, J., Chouhan, D., Rao, S. T., Udayaprasad, P. K., Srinidhi, N. N., & Dilip Kumar, S. M. (2021). EERO: Energy Efficient Route Optimization Technique for IoT Network. In P. K. Singh, G. Veselov, A. Pljonkin, Y. Kumar, M. Paprzycki, & Y. Zachinyaev (Eds.), Futuristic Trends in Network and Communication Technologies - Third International Conference, FTNCT 2020, Revised Selected Papers (pp. 207-218). (Communications in Computer and Information Science; Vol. 1396 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-16-1483-5_19

Shreyas, J. ; Chouhan, Dharamendra ; Rao, Sowmya T. et al. / EERO : Energy Efficient Route Optimization Technique for IoT Network. Futuristic Trends in Network and Communication Technologies - Third International Conference, FTNCT 2020, Revised Selected Papers. editor / Pradeep Kumar Singh ; Gennady Veselov ; Anton Pljonkin ; Yugal Kumar ; Marcin Paprzycki ; Yuri Zachinyaev. Springer Science and Business Media Deutschland GmbH, 2021. pp. 207-218 (Communications in Computer and Information Science).

@inproceedings{2dce2a8a082445cb8ab34a356979071e,

title = "EERO: Energy Efficient Route Optimization Technique for IoT Network",

abstract = "In the real world, it is essential to establish efficient routes in the Internet of Things (IoT) since sensor nodes operate mainly on battery and have limited energy. In this paper, an energy efficient routing technique is proposed to select an optimal routing path from source to destination for the transmission of data. Genetic algorithm (GA) is an optimization technique which is integrated into the proposed work to select an optimal path among the available paths. Since the proposed method selects an optimal path from source cluster head to the sink, this reduces the energy consumption and improves the lifetime of network. The validity of the proposed algorithm is evaluated in MATLAB simulation tool and results generate superiority while considering parameters such as energy consumption, delay and number of rounds.",

author = "J. Shreyas and Dharamendra Chouhan and Rao, \{Sowmya T.\} and Udayaprasad, \{P. K.\} and Srinidhi, \{N. N.\} and \{Dilip Kumar\}, \{S. M.\}",

note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Singapore Pte Ltd.; 3rd International Conference on Futuristic Trends in Network and Communication Technologies, FTNCT 2020 ; Conference date: 14-10-2020 Through 16-10-2020",

year = "2021",

doi = "10.1007/978-981-16-1483-5\_19",

language = "English",

isbn = "9789811614828",

series = "Communications in Computer and Information Science",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "207--218",

editor = "Singh, \{Pradeep Kumar\} and Gennady Veselov and Anton Pljonkin and Yugal Kumar and Marcin Paprzycki and Yuri Zachinyaev",

booktitle = "Futuristic Trends in Network and Communication Technologies - Third International Conference, FTNCT 2020, Revised Selected Papers",

address = "Germany",

}

Shreyas, J, Chouhan, D, Rao, ST, Udayaprasad, PK, Srinidhi, NN & Dilip Kumar, SM 2021, EERO: Energy Efficient Route Optimization Technique for IoT Network. in PK Singh, G Veselov, A Pljonkin, Y Kumar, M Paprzycki & Y Zachinyaev (eds), Futuristic Trends in Network and Communication Technologies - Third International Conference, FTNCT 2020, Revised Selected Papers. Communications in Computer and Information Science, vol. 1396 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 207-218, 3rd International Conference on Futuristic Trends in Network and Communication Technologies, FTNCT 2020, Taganrog, Russian Federation, 14-10-20. https://doi.org/10.1007/978-981-16-1483-5_19

EERO: Energy Efficient Route Optimization Technique for IoT Network. / Shreyas, J.; Chouhan, Dharamendra; Rao, Sowmya T. et al.
Futuristic Trends in Network and Communication Technologies - Third International Conference, FTNCT 2020, Revised Selected Papers. ed. / Pradeep Kumar Singh; Gennady Veselov; Anton Pljonkin; Yugal Kumar; Marcin Paprzycki; Yuri Zachinyaev. Springer Science and Business Media Deutschland GmbH, 2021. p. 207-218 (Communications in Computer and Information Science; Vol. 1396 CCIS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - EERO

T2 - 3rd International Conference on Futuristic Trends in Network and Communication Technologies, FTNCT 2020

AU - Shreyas, J.

AU - Chouhan, Dharamendra

AU - Rao, Sowmya T.

AU - Udayaprasad, P. K.

AU - Srinidhi, N. N.

AU - Dilip Kumar, S. M.

PY - 2021

Y1 - 2021

N2 - In the real world, it is essential to establish efficient routes in the Internet of Things (IoT) since sensor nodes operate mainly on battery and have limited energy. In this paper, an energy efficient routing technique is proposed to select an optimal routing path from source to destination for the transmission of data. Genetic algorithm (GA) is an optimization technique which is integrated into the proposed work to select an optimal path among the available paths. Since the proposed method selects an optimal path from source cluster head to the sink, this reduces the energy consumption and improves the lifetime of network. The validity of the proposed algorithm is evaluated in MATLAB simulation tool and results generate superiority while considering parameters such as energy consumption, delay and number of rounds.

AB - In the real world, it is essential to establish efficient routes in the Internet of Things (IoT) since sensor nodes operate mainly on battery and have limited energy. In this paper, an energy efficient routing technique is proposed to select an optimal routing path from source to destination for the transmission of data. Genetic algorithm (GA) is an optimization technique which is integrated into the proposed work to select an optimal path among the available paths. Since the proposed method selects an optimal path from source cluster head to the sink, this reduces the energy consumption and improves the lifetime of network. The validity of the proposed algorithm is evaluated in MATLAB simulation tool and results generate superiority while considering parameters such as energy consumption, delay and number of rounds.

UR - https://www.scopus.com/pages/publications/85107277368

UR - https://www.scopus.com/pages/publications/85107277368#tab=citedBy

U2 - 10.1007/978-981-16-1483-5_19

DO - 10.1007/978-981-16-1483-5_19

M3 - Conference contribution

AN - SCOPUS:85107277368

SN - 9789811614828

T3 - Communications in Computer and Information Science

SP - 207

EP - 218

BT - Futuristic Trends in Network and Communication Technologies - Third International Conference, FTNCT 2020, Revised Selected Papers

A2 - Singh, Pradeep Kumar

A2 - Veselov, Gennady

A2 - Pljonkin, Anton

A2 - Kumar, Yugal

A2 - Paprzycki, Marcin

A2 - Zachinyaev, Yuri

PB - Springer Science and Business Media Deutschland GmbH

Y2 - 14 October 2020 through 16 October 2020

ER -

Shreyas J, Chouhan D, Rao ST, Udayaprasad PK, Srinidhi NN, Dilip Kumar SM. EERO: Energy Efficient Route Optimization Technique for IoT Network. In Singh PK, Veselov G, Pljonkin A, Kumar Y, Paprzycki M, Zachinyaev Y, editors, Futuristic Trends in Network and Communication Technologies - Third International Conference, FTNCT 2020, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2021. p. 207-218. (Communications in Computer and Information Science). doi: 10.1007/978-981-16-1483-5_19

EERO: Energy Efficient Route Optimization Technique for IoT Network

Abstract

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UN SDGs

All Science Journal Classification (ASJC) codes

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