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020 _a9783319239651
_z978-3-319-23965-1
024 7 _a10.1007/978-3-319-23965-1
_2doi
050 4 _aTK5105.5-5105.9
072 7 _aUKN
_2bicssc
072 7 _aCOM075000
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_2thema004.6
_223
100 1 _aAl-Kofahi, Osameh.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aResilient Wireless Sensor Networks :
_bThe Case of Network Coding /
_cby Osameh Al-Kofahi, Ahmed E. Kamal.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 0 _aSpringerBriefs in Electrical and Computer Engineering,
_x2191-8112
505 0 _aIntroduction -- Network Coding-Based Resilient WSNs: The Centralized Approach -- Network Coding-Based Resilient WSNs: The Distributed Approach -- Physical-Layer Network Coding for Resilient WSNs.
520 _aThis 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 _aComputer Communication Networks.
650 0 _aTelecommunication.
650 0 _aInformation systems.
650 1 4 _aComputer Communication Networks.
_0http://scigraph.springernature.com/things/product-market-codes/I13022
650 2 4 _aCommunications Engineering, Networks.
_0http://scigraph.springernature.com/things/product-market-codes/T24035
650 2 4 _aInformation Systems and Communication Service.
_0http://scigraph.springernature.com/things/product-market-codes/I18008
700 1 _aKamal, Ahmed E.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
856 4 0 _uhttps://doi.org/10.1007/978-3-319-23965-1
_3Springer eBooks
_zOnline access link to the resource
912 _aZDB-2-SCS
999 _c200434065
_d52277
942 _2lcc
_cEBK
041 _aeng