The University of Southampton
University of Southampton Institutional Repository

An objective based classification of aggregation techniques for wireless sensor networks

An objective based classification of aggregation techniques for wireless sensor networks
An objective based classification of aggregation techniques for wireless sensor networks
Wireless Sensor Networks have gained immense popularity in recent years due to their ever increasing capabilities and wide range of critical applications. A huge body of research efforts has been dedicated to find ways to utilize limited resources of these sensor nodes in an efficient manner. One of the common ways to minimize energy consumption has been aggregation of input data. We note that every aggregation technique has an improvement objective to achieve with respect to the output it produces. Each technique is designed to achieve some target e.g. reduce data size, minimize transmission energy, enhance accuracy etc. This paper presents a comprehensive survey of aggregation techniques that can be used in distributed manner to improve lifetime and energy conservation of wireless sensor networks. Main contribution of this work is proposal of a novel classification of such techniques based on the type of improvement they offer when applied to WSNs. Due to the existence of a myriad of definitions of aggregation, we first review the meaning of term aggregation that can be applied to WSN. The concept is then associated with the proposed classes. Each class of techniques is divided into a number of subclasses and a brief literature review of related work in WSN for each of these is also presented.
9783642289613
512-523
Tariq, Qurat-ul-Ain
76975ed4-4607-4716-bf44-e51da290f6f3
Ahmed, Saneeha
a2fd0c0e-6d27-470c-8acd-ec8bf977f978
Zia, Huma
74118b4c-35ab-44e8-a44f-daa4cc6f83e8
Tariq, Qurat-ul-Ain
76975ed4-4607-4716-bf44-e51da290f6f3
Ahmed, Saneeha
a2fd0c0e-6d27-470c-8acd-ec8bf977f978
Zia, Huma
74118b4c-35ab-44e8-a44f-daa4cc6f83e8

Tariq, Qurat-ul-Ain, Ahmed, Saneeha and Zia, Huma (2012) An objective based classification of aggregation techniques for wireless sensor networks. Second International Multi Topic Conference (IMTIC 2012), Pakistan. pp. 512-523 . (doi:10.1007/978-3-642-28962-0_48).

Record type: Conference or Workshop Item (Paper)

Abstract

Wireless Sensor Networks have gained immense popularity in recent years due to their ever increasing capabilities and wide range of critical applications. A huge body of research efforts has been dedicated to find ways to utilize limited resources of these sensor nodes in an efficient manner. One of the common ways to minimize energy consumption has been aggregation of input data. We note that every aggregation technique has an improvement objective to achieve with respect to the output it produces. Each technique is designed to achieve some target e.g. reduce data size, minimize transmission energy, enhance accuracy etc. This paper presents a comprehensive survey of aggregation techniques that can be used in distributed manner to improve lifetime and energy conservation of wireless sensor networks. Main contribution of this work is proposal of a novel classification of such techniques based on the type of improvement they offer when applied to WSNs. Due to the existence of a myriad of definitions of aggregation, we first review the meaning of term aggregation that can be applied to WSN. The concept is then associated with the proposed classes. Each class of techniques is divided into a number of subclasses and a brief literature review of related work in WSN for each of these is also presented.

Text
TAZ_IMTIC.doc.pdf - Other
Download (132kB)

More information

Published date: 28 March 2012
Venue - Dates: Second International Multi Topic Conference (IMTIC 2012), Pakistan, 2012-03-28
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 338784
URI: http://eprints.soton.ac.uk/id/eprint/338784
ISBN: 9783642289613
PURE UUID: 68273f05-5512-4b7c-8f05-692d6ebd6cf8

Catalogue record

Date deposited: 17 May 2012 11:22
Last modified: 19 Jul 2019 22:01

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×