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Energy Efficient Clustering Algorith...

ProQuest Information and Learning Co.

Energy Efficient Clustering Algorithms for Homogeneous Wireless Sensor Networks.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Energy Efficient Clustering Algorithms for Homogeneous Wireless Sensor Networks./
Author:	Corn, John.
Description:	1 online resource (77 pages)
Notes:	Source: Masters Abstracts International, Volume: 56-04.
Contained By:	Masters Abstracts International56-04(E).
Subject:	Electrical engineering. -
Online resource:	click for full text (PQDT)
ISBN:	9781369706048

Energy Efficient Clustering Algorithms for Homogeneous Wireless Sensor Networks.
Corn, John.

Energy Efficient Clustering Algorithms for Homogeneous Wireless Sensor Networks. - 1 online resource (77 pages)

Source: Masters Abstracts International, Volume: 56-04.

Thesis (M.S.)

Includes bibliographical references

Wireless sensor networks (WSNs) are systems of resource-constrained sensor nodes (SNs), distributed throughout a sensor field. Energy limitations persist due to the wireless nature of SNs and an interest in minimizing the cost and physical footprint of SNs. Due to the resource-constrained nature of SNs, much WSN research has focused on energy-efficient communication algorithms. Communication algorithms are necessary for energy-efficient data transmission between SNs and the transmission of data collected by SNs to a base station. A popular algorithm known as Low-Energy Adaptive Clustering Hierarchy (LEACH) achieves more energy-efficient communication by organizing SNs into clusters for localized communication. When SNs are mobile, the energy efficiency of LEACH is degraded because of geographic dispersion of SN clusters. This thesis proposes LEACH-Centered Cluster-head (LEACH-CCH), a clustering algorithm aimed at improving WSN lifetime in cases of stationary and mobile sensor nodes. Mobile sensor network applications are explored including vehicle-to-infrastructure communication networks.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9781369706048Subjects--Topical Terms:

596380
Electrical engineering.
Index Terms--Genre/Form:

554714
Electronic books.

Energy Efficient Clustering Algorithms for Homogeneous Wireless Sensor Networks.
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245 1 0 $a Energy Efficient Clustering Algorithms for Homogeneous Wireless Sensor Networks.
264 0 $c 2017
300 $a 1 online resource (77 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
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500 $a Source: Masters Abstracts International, Volume: 56-04.
500 $a Adviser: Jerry W. Bruce.
502 $a Thesis (M.S.) $c Mississippi State University $d 2017.
504 $a Includes bibliographical references
520 $a Wireless sensor networks (WSNs) are systems of resource-constrained sensor nodes (SNs), distributed throughout a sensor field. Energy limitations persist due to the wireless nature of SNs and an interest in minimizing the cost and physical footprint of SNs. Due to the resource-constrained nature of SNs, much WSN research has focused on energy-efficient communication algorithms. Communication algorithms are necessary for energy-efficient data transmission between SNs and the transmission of data collected by SNs to a base station. A popular algorithm known as Low-Energy Adaptive Clustering Hierarchy (LEACH) achieves more energy-efficient communication by organizing SNs into clusters for localized communication. When SNs are mobile, the energy efficiency of LEACH is degraded because of geographic dispersion of SN clusters. This thesis proposes LEACH-Centered Cluster-head (LEACH-CCH), a clustering algorithm aimed at improving WSN lifetime in cases of stationary and mobile sensor nodes. Mobile sensor network applications are explored including vehicle-to-infrastructure communication networks.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Electrical engineering. $3 596380
650 4 $a Computer engineering. $3 569006
655 7 $a Electronic books. $2 local $3 554714
690 $a 0544
690 $a 0464
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Mississippi State University. $b Electrical and Computer Engineering. $3 1148511
773 0 $t Masters Abstracts International $g 56-04(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10266398 $z click for full text (PQDT)

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