LEADER 04286nam 22006735 450 001 9910299206003321 005 20200704113009.0 010 $a3-319-23965-1 024 7 $a10.1007/978-3-319-23965-1 035 $a(CKB)3710000000521528 035 $a(EBL)4182195 035 $a(SSID)ssj0001584308 035 $a(PQKBManifestationID)16265716 035 $a(PQKBTitleCode)TC0001584308 035 $a(PQKBWorkID)14864284 035 $a(PQKB)10015783 035 $a(DE-He213)978-3-319-23965-1 035 $a(MiAaPQ)EBC4182195 035 $a(PPN)190523271 035 $a(EXLCZ)993710000000521528 100 $a20151130d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aResilient Wireless Sensor Networks $eThe Case of Network Coding /$fby Osameh Al-Kofahi, Ahmed E. Kamal 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (77 p.) 225 1 $aSpringerBriefs in Electrical and Computer Engineering,$x2191-8112 300 $aDescription based upon print version of record. 311 $a3-319-23963-5 320 $aIncludes bibliographical references at the end of each chapters. 327 $aIntroduction -- Network Coding-Based Resilient WSNs: The Centralized Approach -- Network Coding-Based Resilient WSNs: The Distributed Approach -- Physical-Layer Network Coding for Resilient WSNs. 330 $aThis Springer Brief introduces wireless sensor networks (WSNs) and the need for resilient WSN operations in application domains. It presents traditional approaches of providing resilient operation of WSNs to ensure continuity of data delivery even when some network sensors fail.   The pros and cons of each these approaches are discussed.  Also included is an overview of network coding basics, and motivate the use of network coding-based protection in order to combine the advantages, but avoid the disadvantages of the traditional approaches. The authors cover the design and analysis of a centralized approach to network coding-based protection of WSNs.  The coverage also includes practical and realistic network situations, and the coding strategies employed. Next discussed is how to recover from data losses using a distributed approach, which is more practical for large scale WSNs.   Algorithms for scheduling of transmissions while implementing network coding-based in the two cases of using digital network coding, and analog network coding are covered.  Resilient Wireless Sensor Networks includes a concise, but an in-depth coverage of the use of network coding to implement  agile and resource efficient protection in WSNs.  It will be of  interest to professionals and researchers working in the areas of fault tolerance, network coding, and deployment of WSNs in harsh environment. Advanced-level students in electrical engineering and computer science will also find this research valuable as a reference. 410 0$aSpringerBriefs in Electrical and Computer Engineering,$x2191-8112 606 $aComputer communication systems 606 $aElectrical engineering 606 $aComputers 606 $aComputer Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13022 606 $aCommunications Engineering, Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24035 606 $aInformation Systems and Communication Service$3https://scigraph.springernature.com/ontologies/product-market-codes/I18008 615 0$aComputer communication systems. 615 0$aElectrical engineering. 615 0$aComputers. 615 14$aComputer Communication Networks. 615 24$aCommunications Engineering, Networks. 615 24$aInformation Systems and Communication Service. 676 $a004 700 $aAl-Kofahi$b Osameh$4aut$4http://id.loc.gov/vocabulary/relators/aut$01059459 702 $aKamal$b Ahmed E$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299206003321 996 $aResilient Wireless Sensor Networks$92505921 997 $aUNINA