國立高雄大學圖資館 |

Language: English

Back

Resilient wireless sensor networksth...

Al-Kofahi, Osameh M.

Resilient wireless sensor networksthe case of network coding /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Resilient wireless sensor networksby Osameh M. Al-Kofahi, Ahmed E. Kamal.
Reminder of title:	the case of network coding /
Author:	Al-Kofahi, Osameh M.
other author:	Kamal, Ahmed E.
Published:	Cham :Springer International Publishing :2015.
Description:	x, 68 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Computer science.
Online resource:	http://dx.doi.org/10.1007/978-3-319-23965-1
ISBN:	9783319239651$q(electronic bk.)

Resilient wireless sensor networksthe case of network coding /
Al-Kofahi, Osameh M.

Resilient wireless sensor networksthe case of network coding /[electronic resource] :by Osameh M. Al-Kofahi, Ahmed E. Kamal. - Cham :Springer International Publishing :2015. - x, 68 p. :ill., digital ;24 cm. - SpringerBriefs in electrical and computer engineering,2191-8112. - SpringerBriefs in electrical and computer engineering..

Introduction -- Network Coding-Based Resilient WSNs: The Centralized Approach -- Network Coding-Based Resilient WSNs: The Distributed Approach -- Physical-Layer Network Coding for Resilient WSNs.

This Springer Brief introduces wireless sensor networks (WSNs) and the need for resilient WSN operations in application domains. It presents traditional approaches of providing resilient operation of WSNs to ensure continuity of data delivery even when some network sensors fail. The pros and cons of each these approaches are discussed. Also included is an overview of network coding basics, and motivate the use of network coding-based protection in order to combine the advantages, but avoid the disadvantages of the traditional approaches. The authors cover the design and analysis of a centralized approach to network coding-based protection of WSNs. The coverage also includes practical and realistic network situations, and the coding strategies employed. Next discussed is how to recover from data losses using a distributed approach, which is more practical for large scale WSNs. Algorithms for scheduling of transmissions while implementing network coding-based in the two cases of using digital network coding, and analog network coding are covered. Resilient Wireless Sensor Networks includes a concise, but an in-depth coverage of the use of network coding to implement agile and resource efficient protection in WSNs. It will be of interest to professionals and researchers working in the areas of fault tolerance, network coding, and deployment of WSNs in harsh environment. Advanced-level students in electrical engineering and computer science will also find this research valuable as a reference.

ISBN: 9783319239651$q(electronic bk.)

Standard No.: 10.1007/978-3-319-23965-1doiSubjects--Topical Terms:

199325
Computer science.

LC Class. No.: TK7872.D48

Dewey Class. No.: 004.6

Resilient wireless sensor networksthe case of network coding /
LDR:02749nmm a2200325 a 4500 001 476513
003 DE-He213
005 20160425153229.0
006 m d
007 cr nn 008maaau
008 160526s2015 gw s 0 eng d
020 $a 9783319239651$q(electronic bk.)
020 $a 9783319239637$q(paper)
024 7 $a 10.1007/978-3-319-23965-1 $2 doi
035 $a 978-3-319-23965-1
040 $a GP $c GP
041 0 $a eng
050 4 $a TK7872.D48
072 7 $a UKN $2 bicssc
072 7 $a COM075000 $2 bisacsh
082 0 4 $a 004.6 $2 23
090 $a TK7872.D48 $b A316 2015
100 1 $a Al-Kofahi, Osameh M. $3 731183
245 1 0 $a Resilient wireless sensor networks $h [electronic resource] : $b the case of network coding / $c by Osameh M. Al-Kofahi, Ahmed E. Kamal.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a x, 68 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in electrical and computer engineering, $x 2191-8112
505 0 $a Introduction -- Network Coding-Based Resilient WSNs: The Centralized Approach -- Network Coding-Based Resilient WSNs: The Distributed Approach -- Physical-Layer Network Coding for Resilient WSNs.
520 $a This Springer Brief introduces wireless sensor networks (WSNs) and the need for resilient WSN operations in application domains. It presents traditional approaches of providing resilient operation of WSNs to ensure continuity of data delivery even when some network sensors fail. The pros and cons of each these approaches are discussed. Also included is an overview of network coding basics, and motivate the use of network coding-based protection in order to combine the advantages, but avoid the disadvantages of the traditional approaches. The authors cover the design and analysis of a centralized approach to network coding-based protection of WSNs. The coverage also includes practical and realistic network situations, and the coding strategies employed. Next discussed is how to recover from data losses using a distributed approach, which is more practical for large scale WSNs. Algorithms for scheduling of transmissions while implementing network coding-based in the two cases of using digital network coding, and analog network coding are covered. Resilient Wireless Sensor Networks includes a concise, but an in-depth coverage of the use of network coding to implement agile and resource efficient protection in WSNs. It will be of interest to professionals and researchers working in the areas of fault tolerance, network coding, and deployment of WSNs in harsh environment. Advanced-level students in electrical engineering and computer science will also find this research valuable as a reference.
650 0 $a Computer science. $3 199325
650 0 $a Computer networks. $3 181923
650 0 $a Electrical engineering. $3 454503
650 0 $a Wireless sensor networks. $3 376151
650 1 4 $a Computer Science. $3 212513
650 2 4 $a Computer Communication Networks. $3 218087
650 2 4 $a Communications Engineering, Networks. $3 273745
650 2 4 $a Information Systems and Communication Service. $3 274025
700 1 $a Kamal, Ahmed E. $3 286624
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in electrical and computer engineering. $3 557682
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-23965-1
950 $a Computer Science (Springer-11645)