大葉大學圖書館 |

Resilient wireless sensor networks[electronic resource] :the case of network coding /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	004.6
書名/作者:	Resilient wireless sensor networks : the case of network coding // by Osameh M. Al-Kofahi, Ahmed E. Kamal.
作者:	Al-Kofahi, Osameh M.
其他作者:	Kamal, Ahmed E.
出版者:	Cham : : Springer International Publishing :, 2015.
面頁冊數:	x, 68 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Computer science.
標題:	Computer networks.
標題:	Electrical engineering.
標題:	Wireless sensor networks.
標題:	Computer Science.
標題:	Computer Communication Networks.
標題:	Communications Engineering, Networks.
標題:	Information Systems and Communication Service.
ISBN:	9783319239651
ISBN:	9783319239637
內容註:	Introduction -- Network Coding-Based Resilient WSNs: The Centralized Approach -- Network Coding-Based Resilient WSNs: The Distributed Approach -- Physical-Layer Network Coding for Resilient WSNs.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-23965-1

Resilient wireless sensor networks[electronic resource] :the 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

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

182962
Computer science.

LC Class. No.: TK7872.D48

Dewey Class. No.: 004.6

Resilient wireless sensor networks[electronic resource] :the case of network coding /
LDR:02749nam a2200325 a 4500 001 443843
003 DE-He213
005 20160425153229.0
006 m d
007 cr nn 008maaau
008 160715s2015 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 634890
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 182962
650 0 $a Computer networks. $3 174051
650 0 $a Electrical engineering. $3 183930
650 0 $a Wireless sensor networks. $3 388729
650 1 4 $a Computer Science. $3 423143
650 2 4 $a Computer Communication Networks. $3 464535
650 2 4 $a Communications Engineering, Networks. $3 463863
650 2 4 $a Information Systems and Communication Service. $3 463678
700 1 $a Kamal, Ahmed E. $3 634891
710 2 $a SpringerLink (Online service) $3 463450
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in electrical and computer engineering. $3 463907
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-23965-1
950 $a Computer Science (Springer-11645)