000 04402nam a22006135i 4500
999 _c12876
_d12876
001 978-3-319-78081-8
003 DE-He213
005 20211220104253.0
008 180423s2018 gw | s |||| 0|eng d
020 _a9783319780818
040 _cAIKTC-KRRC
041 _aENG
072 7 _aTJK
_2bicssc
072 7 _aTEC041000
_2bisacsh
072 7 _aTJK
_2thema
082 0 4 _a621.382
_223
100 1 _aKumar, Akshay.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aDesign and Implementation of Practical Schedulers for M2M Uplink Networks
_h[electronic resource] :
_bUsing MATLAB /
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXI, 214 p. 26 illus., 14 illus. in color.
_bCard Paper
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
520 _aThis book presents the design of delay-efficient packet schedulers for heterogeneous M2M uplink traffic classified into several classes, based on packet delay requirements, payload size, arrival process, etc. Specifically, the authors use tools from queuing theory to determine the delay-optimal scheduling policy. The proposed packet schedulers are designed for a generic M2M architecture and thus equally applicable to any M2M application. Additionally, due to their low implementation complexity and excellent delay-performance, they authors show how they are also well-suited for practical M2M systems. The book pertains primarily to real-time process scheduler experts in industry/academia and graduate students whose research deals with designing Quality-of-Service-aware packet schedulers for M2M packet schedulers over existing and future cellular infrastructure. Presents queuing theoretic analysis and optimization techniques used to design proposed packet scheduling strategies; Provides utility functions to precisely model diverse delay requirements, which lends itself to formulation of utility-maximization problems for determining the delay- or utility-optimal packet scheduler; Includes detail on low implementation complexity of the proposed scheduler by using iterative and distributed optimization techniques.
650 0 _aMechanical Engineering
_94626
653 _aContinuous Optimization.
653 _aInput/Output and Data Communications.
653 _aComputer Communication Networks.
700 1 _aAbdelhadi, Ahmed.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aClancy, T. Charles.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319780801
776 0 8 _iPrinted edition:
_z9783319780825
776 0 8 _iPrinted edition:
_z9783030086138
856 4 0 _uhttps://doi.org/10.1007/978-3-319-78081-8
_zClick here to access eBook in Springer Nature platform. (Within Campus only.)
942 _cEBOOKS
_2ddc