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020 _a9783031792540
_9978-3-031-79254-0
024 7 _a10.1007/978-3-031-79254-0
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aBerry, Randal.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_988081
245 1 0 _aEnergy-Efficient Scheduling under Delay Constraints for Wireless Networks
_h[electronic resource] /
_cby Randal Berry, Eytan Modiano, Murtaza Zafer.
250 _a1st ed. 2012.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2012.
300 _aXI, 84 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Learning, Networks, and Algorithms,
_x2690-4314
505 0 _aIntroduction -- Transmission Rate Adaptation under Deadline Constraints -- Average Delay Constraints.
520 _aPacket delay and energy consumption are important considerations in wireless and sensor networks as these metrics directly affect the quality of service of the application and the resource consumption of the network; especially, for a rapidly growing class of real-time applications that impose strict restrictions on packet delays. Dynamic rate control is a novel technique for adapting the transmission rate of wireless devices, almost in real-time, to opportunistically exploit time-varying channel conditions as well as changing traffic patterns. Since power consumption is not a linear function of the rate and varies significantly with the channel conditions, adapting the rate has significant benefits in minimizing energy consumption. These benefits have prompted significant research in developing algorithms for achieving optimal rate adaptation while satisfying quality of service requirements. In this book, we provide a comprehensive study of dynamic rate control for energy minimizationunder packet delay constraints. We present several formulations and approaches adopted in the literature ranging from discrete-time formulations and dynamic programming based solutions to continuous-time approaches utilizing ideas from network calculus and stochastic optimal control theory. The goal of this book is to expose the reader to the important problem of wireless data transmission with delay constraints and to the rich set of tools developed in recent years to address it. Table of Contents: Introduction / Transmission Rate Adaptation under Deadline Constraints / Average Delay Constraints.
650 0 _aArtificial intelligence.
_93407
650 0 _aCooperating objects (Computer systems).
_96195
650 0 _aProgramming languages (Electronic computers).
_97503
650 0 _aTelecommunication.
_910437
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aCyber-Physical Systems.
_932475
650 2 4 _aProgramming Language.
_939403
650 2 4 _aCommunications Engineering, Networks.
_931570
700 1 _aModiano, Eytan.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_988086
700 1 _aZafer, Murtaza.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_988087
710 2 _aSpringerLink (Online service)
_988088
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031792533
776 0 8 _iPrinted edition:
_z9783031792557
830 0 _aSynthesis Lectures on Learning, Networks, and Algorithms,
_x2690-4314
_988090
856 4 0 _uhttps://doi.org/10.1007/978-3-031-79254-0
912 _aZDB-2-SXSC
942 _cEBK
999 _c86198
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