A survey on data aggregation techniques in IoT sensor networks

Abbasian Dehkordi, S; Farajzadeh, K; Rezazadeh, J; Farahbakhsh, R; Sandrasegaran, K; Abbasian Dehkordi, M

A survey on data aggregation techniques in IoT sensor networks

Abbasian Dehkordi, S Farajzadeh, K Rezazadeh, J

Farahbakhsh, R Sandrasegaran, K

Abbasian Dehkordi, M

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Publisher:: SPRINGER
Publication Type:: Journal Article
Citation:: Wireless Networks, 2020, 26, (2), pp. 1243-1263
Issue Date:: 2020-02-01

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Field	Value	Language
dc.contributor.author	Abbasian Dehkordi, S
dc.contributor.author	Farajzadeh, K
dc.contributor.author	Rezazadeh, J https://orcid.org/0000-0002-6851-0117
dc.contributor.author	Farahbakhsh, R
dc.contributor.author	Sandrasegaran, K https://orcid.org/0000-0003-1270-5756
dc.contributor.author	Abbasian Dehkordi, M
dc.date.accessioned	2020-10-23T01:57:24Z
dc.date.available	2020-10-23T01:57:24Z
dc.date.issued	2020-02-01
dc.identifier.citation	Wireless Networks, 2020, 26, (2), pp. 1243-1263
dc.identifier.issn	1022-0038
dc.identifier.issn	1572-8196
dc.identifier.uri	http://hdl.handle.net/10453/143489
dc.description.abstract	© 2019, Springer Science+Business Media, LLC, part of Springer Nature. There is a growing interest in using wireless sensor technologies in various Internet of things scenarios. Considering the huge growth of smart objects and their applications, the need to collect and analyze their product data are becoming one of the main challenges. Sensor nodes are powered by batteries, efficient operations in term of energy are critical. Toward that end, it is desirable for a sensor node to eliminate redundancies in the received data from the neighboring nodes before transferring the final data to the central station. Data aggregation is one of the influential techniques in elimination of data redundancy and improvement of energy efficiency; also it increases the lifespan of Wireless Sensor Networks. In addition, the efficient data aggregation protocol can reduce network traffic. When a specific objective takes place in a specific area, it might be detected by more than one sensor. Considering the main challenges and aspects of data aggregation in wireless sensor networks, a review on different types of data aggregation techniques and protocols are presented in this paper. The ultimate objective of this study is to make the basic foundations to develop new advanced designs based on data integration techniques and clustering that have been proposed so far. Major techniques of data integration in wireless sensor networks covering ground, underground and underwater sensor networks are presented in this paper and the applications, advantages and disadvantages of using each technique are described.
dc.language	English
dc.publisher	SPRINGER
dc.relation.ispartof	Wireless Networks
dc.relation.isbasedon	10.1007/s11276-019-02142-z
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0805 Distributed Computing, 0906 Electrical and Electronic Engineering, 1005 Communications Technologies
dc.subject.classification	Networking & Telecommunications
dc.title	A survey on data aggregation techniques in IoT sensor networks
dc.type	Journal Article
utslib.citation.volume	26
utslib.for	0805 Distributed Computing
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	1005 Communications Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
dc.date.updated	2020-10-23T01:56:52Z
pubs.issue	2
pubs.publication-status	Published
pubs.volume	26
utslib.citation.issue	2

Abstract:

© 2019, Springer Science+Business Media, LLC, part of Springer Nature. There is a growing interest in using wireless sensor technologies in various Internet of things scenarios. Considering the huge growth of smart objects and their applications, the need to collect and analyze their product data are becoming one of the main challenges. Sensor nodes are powered by batteries, efficient operations in term of energy are critical. Toward that end, it is desirable for a sensor node to eliminate redundancies in the received data from the neighboring nodes before transferring the final data to the central station. Data aggregation is one of the influential techniques in elimination of data redundancy and improvement of energy efficiency; also it increases the lifespan of Wireless Sensor Networks. In addition, the efficient data aggregation protocol can reduce network traffic. When a specific objective takes place in a specific area, it might be detected by more than one sensor. Considering the main challenges and aspects of data aggregation in wireless sensor networks, a review on different types of data aggregation techniques and protocols are presented in this paper. The ultimate objective of this study is to make the basic foundations to develop new advanced designs based on data integration techniques and clustering that have been proposed so far. Major techniques of data integration in wireless sensor networks covering ground, underground and underwater sensor networks are presented in this paper and the applications, advantages and disadvantages of using each technique are described.

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http://hdl.handle.net/10453/143489