000 03401nam a22005415i 4500
001 978-981-10-8770-7
003 DE-He213
005 20220801213943.0
007 cr nn 008mamaa
008 180403s2018 si | s |||| 0|eng d
020 _a9789811087707
_9978-981-10-8770-7
024 7 _a10.1007/978-981-10-8770-7
_2doi
050 4 _aTK5101-5105.9
072 7 _aTJK
_2bicssc
072 7 _aTEC041000
_2bisacsh
072 7 _aTJK
_2thema
082 0 4 _a621.382
_223
100 1 _aSingh, Jyoti Prakash.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_935430
245 1 0 _aAd Hoc Networks
_h[electronic resource] :
_bA Statistical Perspective /
_cby Jyoti Prakash Singh, Paramartha Dutta, Amlan Chakrabarti.
250 _a1st ed. 2018.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2018.
300 _aXVIII, 128 p. 85 illus., 10 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction -- Time series Analysis -- Preliminaries -- Neighbor Counts Modelling -- Link Load Modelling -- Path Length Modelling -- Clustering Modelling -- Delay Modelling and Prediction -- Conclusion and Perspective -- References -- Index.
520 _aThis book identifies the time-dependent network parameters: neighbour count, link load, path length, cluster count and delay, and presents a first-of-its-kind discussion on temporal parameters in mobile ad hoc networks. Frequent topology changes and multiple link failures occur in mobile ad hoc network due to arbitrary and random movement of nodes. This dynamic environment challenges the delivery of data and makes it essential to find better models for network parameters that are shifting with time. The parameters identified are put into the framework of time series because of their temporal characteristic, and when they are modelled using time series framework they exhibit a sound fit with Autoregressive AR(p) models of order p. The order p is evaluated for each fitted model and found to lie between one and three. The book also analyses the dependence of end-to-end delay of ad hoc network on various external factors such as the number of nodes, routing protocol, mobility models and path length and develops two prediction models. The book will be useful for researchers and professionals alike.
650 0 _aTelecommunication.
_910437
650 0 _aComputer networks .
_931572
650 0 _aMobile computing.
_93438
650 1 4 _aCommunications Engineering, Networks.
_931570
650 2 4 _aComputer Communication Networks.
_935431
650 2 4 _aMobile Computing.
_93438
700 1 _aDutta, Paramartha.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_935432
700 1 _aChakrabarti, Amlan.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_99622
710 2 _aSpringerLink (Online service)
_935433
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811087691
776 0 8 _iPrinted edition:
_z9789811087714
776 0 8 _iPrinted edition:
_z9789811342356
856 4 0 _uhttps://doi.org/10.1007/978-981-10-8770-7
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c75788
_d75788