article

Energy balanced data gathering approaches in wireless sensor networks using mixed-hop communication

Authors:

Jagrati Kulshrestha,

Manas Kumar MishraAuthors Info & Claims

Computing, Volume 100, Issue 10

Pages 1033 - 1058

https://doi.org/10.1007/s00607-018-0597-6

Published: 01 October 2018 Publication History

Abstract

Wireless sensor networks (WSN) consists of small battery powered nodes. Energy efficiency and energy balancing are the most stringent needs of WSN for prolonging its lifetime. Due to many-to-one communication pattern in multi-hop communication, energy consumption is unbalanced in the network. Nodes which are closer to sink deplete their energy much faster than the nodes further away. This paper reviews and presents a comparative study of the various data gathering protocols that aim at balancing energy consumption using mixed/hybrid transmission schemes. It also highlights the aspects of the existing approaches that can be worked upon to achieve a more energy efficient and energy balanced data gathering approach in future.

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Cited By

Zhang L(2022)Evaluation system of college physical education teaching reform based on wireless sensor networkJournal of Computational Methods in Sciences and Engineering10.3233/JCM-21568122:2(373-384)Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.3233/JCM-215681
Zhang YHuang W(2021)Design of intelligent diagnosis system for teaching quality based on wireless sensor network and data miningEURASIP Journal on Wireless Communications and Networking10.1186/s13638-021-01902-w2021:1Online publication date: 21-Jan-2021
https://dl.acm.org/doi/10.1186/s13638-021-01902-w
Kulshrestha JMishra M(2021)Energy balanced data gathering approaches, issues and research directionsTelecommunications Systems10.1007/s11235-020-00714-576:2(299-327)Online publication date: 1-Feb-2021
https://dl.acm.org/doi/10.1007/s11235-020-00714-5
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cover image Computing

Computing Volume 100, Issue 10

October 2018

98 pages

ISSN:0010-485X

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Copyright © Copyright © 2018 Springer-Verlag GmbH Austria, part of Springer Nature.

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 01 October 2018

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Cited By

Zhang L(2022)Evaluation system of college physical education teaching reform based on wireless sensor networkJournal of Computational Methods in Sciences and Engineering10.3233/JCM-21568122:2(373-384)Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.3233/JCM-215681
Zhang YHuang W(2021)Design of intelligent diagnosis system for teaching quality based on wireless sensor network and data miningEURASIP Journal on Wireless Communications and Networking10.1186/s13638-021-01902-w2021:1Online publication date: 21-Jan-2021
https://dl.acm.org/doi/10.1186/s13638-021-01902-w
Kulshrestha JMishra M(2021)Energy balanced data gathering approaches, issues and research directionsTelecommunications Systems10.1007/s11235-020-00714-576:2(299-327)Online publication date: 1-Feb-2021
https://dl.acm.org/doi/10.1007/s11235-020-00714-5
Mehto ATapaswi SPattanaik K(2021)Optimal rendezvous points selection to reliably acquire data from wireless sensor networks using mobile sinkComputing10.1007/s00607-021-00917-x103:4(707-733)Online publication date: 1-Apr-2021
https://dl.acm.org/doi/10.1007/s00607-021-00917-x
Tomar AJana P(2021)A multi-attribute decision making approach for on-demand charging scheduling in wireless rechargeable sensor networksComputing10.1007/s00607-020-00875-w103:8(1677-1701)Online publication date: 1-Aug-2021
https://dl.acm.org/doi/10.1007/s00607-020-00875-w

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