Water Sharing Marketplace Using IoT

Dendukuri Ravi Kiran; Aki Rohith; Kothur Dinesh Reddy; G. Pradeep Reddy

doi:10.1007/978-981-15-7234-0_50

Water Sharing Marketplace Using IoT

Dendukuri Ravi Kiran^*
, Aki Rohith
, Kothur Dinesh Reddy
, G. Pradeep Reddy

^*Corresponding author for this work

School of Computer Engineering

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

4 Citations (Scopus)

Abstract

The objective of the proposed system is to eradicate the conventional water management system and create a market place where any house can buy and sell water in their neighbourhood. Water sources like tankers and public sector water have impurities, come at irregular time intervals and tankers surge their prices based on the demand and season. A marketplace within communities would create competition; regulations can help in eradicating this informal sector and create a fair market with water of better quality and price. Machine learning algorithms are used to give the buyer and sellers the predicted value of how much water each household uses on a daily or monthly basis to make it easier for the user for purchasing and selling of water.

Original language	English
Title of host publication	Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications, ICMISC 2020
Editors	Vinit Kumar Gunjan, Jacek M. Zurada
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	543-551
Number of pages	9
ISBN (Print)	9789811572333
DOIs	https://doi.org/10.1007/978-981-15-7234-0_50
Publication status	Published - 2021
Event	International Conference on Recent Trends in Machine Learning, IOT, Smart Cities and Applications, ICMISC 2020 - Hyderabad, India Duration: 29-03-2020 → 30-03-2020

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1245
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	International Conference on Recent Trends in Machine Learning, IOT, Smart Cities and Applications, ICMISC 2020
Country/Territory	India
City	Hyderabad
Period	29-03-20 → 30-03-20

UN SDGs

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

SDG 6 Clean Water and Sanitation

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
General Computer Science

Access to Document

10.1007/978-981-15-7234-0_50

Cite this

Kiran, D. R., Rohith, A., Reddy, K. D., & Reddy, G. P. (2021). Water Sharing Marketplace Using IoT. In V. K. Gunjan, & J. M. Zurada (Eds.), Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications, ICMISC 2020 (pp. 543-551). (Advances in Intelligent Systems and Computing; Vol. 1245). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-15-7234-0_50

Kiran, Dendukuri Ravi ; Rohith, Aki ; Reddy, Kothur Dinesh et al. / Water Sharing Marketplace Using IoT. Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications, ICMISC 2020. editor / Vinit Kumar Gunjan ; Jacek M. Zurada. Springer Science and Business Media Deutschland GmbH, 2021. pp. 543-551 (Advances in Intelligent Systems and Computing).

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title = "Water Sharing Marketplace Using IoT",

abstract = "The objective of the proposed system is to eradicate the conventional water management system and create a market place where any house can buy and sell water in their neighbourhood. Water sources like tankers and public sector water have impurities, come at irregular time intervals and tankers surge their prices based on the demand and season. A marketplace within communities would create competition; regulations can help in eradicating this informal sector and create a fair market with water of better quality and price. Machine learning algorithms are used to give the buyer and sellers the predicted value of how much water each household uses on a daily or monthly basis to make it easier for the user for purchasing and selling of water.",

author = "Kiran, \{Dendukuri Ravi\} and Aki Rohith and Reddy, \{Kothur Dinesh\} and Reddy, \{G. Pradeep\}",

note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Singapore Pte Ltd.; International Conference on Recent Trends in Machine Learning, IOT, Smart Cities and Applications, ICMISC 2020 ; Conference date: 29-03-2020 Through 30-03-2020",

year = "2021",

doi = "10.1007/978-981-15-7234-0\_50",

language = "English",

isbn = "9789811572333",

series = "Advances in Intelligent Systems and Computing",

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

pages = "543--551",

editor = "Gunjan, \{Vinit Kumar\} and Zurada, \{Jacek M.\}",

booktitle = "Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications, ICMISC 2020",

address = "Germany",

}

Kiran, DR, Rohith, A, Reddy, KD & Reddy, GP 2021, Water Sharing Marketplace Using IoT. in VK Gunjan & JM Zurada (eds), Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications, ICMISC 2020. Advances in Intelligent Systems and Computing, vol. 1245, Springer Science and Business Media Deutschland GmbH, pp. 543-551, International Conference on Recent Trends in Machine Learning, IOT, Smart Cities and Applications, ICMISC 2020, Hyderabad, India, 29-03-20. https://doi.org/10.1007/978-981-15-7234-0_50

Water Sharing Marketplace Using IoT. / Kiran, Dendukuri Ravi; Rohith, Aki; Reddy, Kothur Dinesh et al.
Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications, ICMISC 2020. ed. / Vinit Kumar Gunjan; Jacek M. Zurada. Springer Science and Business Media Deutschland GmbH, 2021. p. 543-551 (Advances in Intelligent Systems and Computing; Vol. 1245).

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

TY - GEN

T1 - Water Sharing Marketplace Using IoT

AU - Kiran, Dendukuri Ravi

AU - Rohith, Aki

AU - Reddy, Kothur Dinesh

AU - Reddy, G. Pradeep

PY - 2021

Y1 - 2021

N2 - The objective of the proposed system is to eradicate the conventional water management system and create a market place where any house can buy and sell water in their neighbourhood. Water sources like tankers and public sector water have impurities, come at irregular time intervals and tankers surge their prices based on the demand and season. A marketplace within communities would create competition; regulations can help in eradicating this informal sector and create a fair market with water of better quality and price. Machine learning algorithms are used to give the buyer and sellers the predicted value of how much water each household uses on a daily or monthly basis to make it easier for the user for purchasing and selling of water.

AB - The objective of the proposed system is to eradicate the conventional water management system and create a market place where any house can buy and sell water in their neighbourhood. Water sources like tankers and public sector water have impurities, come at irregular time intervals and tankers surge their prices based on the demand and season. A marketplace within communities would create competition; regulations can help in eradicating this informal sector and create a fair market with water of better quality and price. Machine learning algorithms are used to give the buyer and sellers the predicted value of how much water each household uses on a daily or monthly basis to make it easier for the user for purchasing and selling of water.

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U2 - 10.1007/978-981-15-7234-0_50

DO - 10.1007/978-981-15-7234-0_50

M3 - Conference contribution

AN - SCOPUS:85096416721

SN - 9789811572333

T3 - Advances in Intelligent Systems and Computing

SP - 543

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BT - Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications, ICMISC 2020

A2 - Gunjan, Vinit Kumar

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PB - Springer Science and Business Media Deutschland GmbH

T2 - International Conference on Recent Trends in Machine Learning, IOT, Smart Cities and Applications, ICMISC 2020

Y2 - 29 March 2020 through 30 March 2020

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Kiran DR, Rohith A, Reddy KD, Reddy GP. Water Sharing Marketplace Using IoT. In Gunjan VK, Zurada JM, editors, Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications, ICMISC 2020. Springer Science and Business Media Deutschland GmbH. 2021. p. 543-551. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-981-15-7234-0_50

Water Sharing Marketplace Using IoT

Abstract

Publication series

Conference

UN SDGs

All Science Journal Classification (ASJC) codes

Access to Document

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