Data gathering with multi-attribute fusion in wireless sensor networks

This chapter addresses the problem of data gathering with multi-attribute fusion over a bandwidth and energy constrained wireless sensor network (WSN). As there are strong correlations between data gathered from sensor nodes in close physical proximity, effective in-network fusion schemes involve mi...

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Main Authors:	Lin, Kai, Lei, Shu, Lei, Wang, Pathan, Al-Sakib Khan
Format:	Book Chapter
Language:	English English
Published:	IGI Global Publishers 2011
Subjects:	TK5101 Telecommunication. Including telegraphy, radio, radar, television
Online Access:	http://irep.iium.edu.my/578/ http://irep.iium.edu.my/578/ http://irep.iium.edu.my/578/ http://irep.iium.edu.my/578/1/Sakib-KaiLin-chapter.pdf http://irep.iium.edu.my/578/4/Chp_8.pdf

id	iium-578
recordtype	eprints
spelling	iium-5782012-12-21T07:25:39Z http://irep.iium.edu.my/578/ Data gathering with multi-attribute fusion in wireless sensor networks Lin, Kai Lei, Shu Lei, Wang Pathan, Al-Sakib Khan TK5101 Telecommunication. Including telegraphy, radio, radar, television This chapter addresses the problem of data gathering with multi-attribute fusion over a bandwidth and energy constrained wireless sensor network (WSN). As there are strong correlations between data gathered from sensor nodes in close physical proximity, effective in-network fusion schemes involve minimizing such redundancy and hence reducing the load in wireless sensor networks. Considering a complicated environment, each sensor node must be equipped with more than one type of sensor module to monitor multi-targets; hence, the complexity for the fusion process is increased due to the existence of various physical attributes. In this chapter, by investigating the process and performance of multi-attribute fusion in data gathering of WSNs, we design a self-adaptive threshold to balance the different change rates of each attributive data. Furthermore, we present a method to measure the energy-conservation efficiency of multi-attribute fusion. Then, a novel energy equilibrium routing method is proposed to balance and save energy in WSNs, which is named multi-attribute fusion tree (MAFT). The establishment of MAFT is determined by the remaining energy of sensor nodes and the energy-conservation efficiency of data fusion. Finally, the energy saving performance of the scheme is demonstrated through comprehensive simulations. The chapter is concluded by identifying some open research issues on this topic. IGI Global Publishers Pathan, Al-Sakib Khan Pathan, Mukaddim Lee, Hae Young 2011 Book Chapter PeerReviewed application/pdf en http://irep.iium.edu.my/578/1/Sakib-KaiLin-chapter.pdf application/pdf en http://irep.iium.edu.my/578/4/Chp_8.pdf Lin, Kai and Lei, Shu and Lei, Wang and Pathan, Al-Sakib Khan (2011) Data gathering with multi-attribute fusion in wireless sensor networks. In: Advancements in Distributed Computing and Internet Technologies: Trends and Issues. IGI Global Publishers, Hershey, PA., pp. 159-181. ISBN 9781613501108 http://www.igi-global.com/bookstore/titledetails.aspx?titleid=51930 DOI: 10.4018/978-1-61350-110-
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TK5101 Telecommunication. Including telegraphy, radio, radar, television
spellingShingle	TK5101 Telecommunication. Including telegraphy, radio, radar, television Lin, Kai Lei, Shu Lei, Wang Pathan, Al-Sakib Khan Data gathering with multi-attribute fusion in wireless sensor networks
description	This chapter addresses the problem of data gathering with multi-attribute fusion over a bandwidth and energy constrained wireless sensor network (WSN). As there are strong correlations between data gathered from sensor nodes in close physical proximity, effective in-network fusion schemes involve minimizing such redundancy and hence reducing the load in wireless sensor networks. Considering a complicated environment, each sensor node must be equipped with more than one type of sensor module to monitor multi-targets; hence, the complexity for the fusion process is increased due to the existence of various physical attributes. In this chapter, by investigating the process and performance of multi-attribute fusion in data gathering of WSNs, we design a self-adaptive threshold to balance the different change rates of each attributive data. Furthermore, we present a method to measure the energy-conservation efficiency of multi-attribute fusion. Then, a novel energy equilibrium routing method is proposed to balance and save energy in WSNs, which is named multi-attribute fusion tree (MAFT). The establishment of MAFT is determined by the remaining energy of sensor nodes and the energy-conservation efficiency of data fusion. Finally, the energy saving performance of the scheme is demonstrated through comprehensive simulations. The chapter is concluded by identifying some open research issues on this topic.
author2	Pathan, Al-Sakib Khan
author_facet	Pathan, Al-Sakib Khan Lin, Kai Lei, Shu Lei, Wang Pathan, Al-Sakib Khan
format	Book Chapter
author	Lin, Kai Lei, Shu Lei, Wang Pathan, Al-Sakib Khan
author_sort	Lin, Kai
title	Data gathering with multi-attribute fusion in wireless sensor networks
title_short	Data gathering with multi-attribute fusion in wireless sensor networks
title_full	Data gathering with multi-attribute fusion in wireless sensor networks
title_fullStr	Data gathering with multi-attribute fusion in wireless sensor networks
title_full_unstemmed	Data gathering with multi-attribute fusion in wireless sensor networks
title_sort	data gathering with multi-attribute fusion in wireless sensor networks
publisher	IGI Global Publishers
publishDate	2011
url	http://irep.iium.edu.my/578/ http://irep.iium.edu.my/578/ http://irep.iium.edu.my/578/ http://irep.iium.edu.my/578/1/Sakib-KaiLin-chapter.pdf http://irep.iium.edu.my/578/4/Chp_8.pdf
first_indexed	2023-09-18T20:07:43Z
last_indexed	2023-09-18T20:07:43Z
_version_	1777407270552862720

Data gathering with multi-attribute fusion in wireless sensor networks

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