000 03835nam a22005775i 4500
001 978-3-030-17732-4
003 DE-He213
005 20220801214058.0
007 cr nn 008mamaa
008 190417s2020 sz | s |||| 0|eng d
020 _a9783030177324
_9978-3-030-17732-4
024 7 _a10.1007/978-3-030-17732-4
_2doi
050 4 _aTK7895.E42
050 4 _aTK5105.8857
072 7 _aTJF
_2bicssc
072 7 _aGPFC
_2bicssc
072 7 _aTEC007000
_2bisacsh
072 7 _aTJF
_2thema
072 7 _aGPFC
_2thema
082 0 4 _a621.38
_223
100 1 _aAl-Kashoash, Hayder.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_936162
245 1 0 _aCongestion Control for 6LoWPAN Wireless Sensor Networks: Toward the Internet of Things
_h[electronic resource] /
_cby Hayder Al-Kashoash.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aXXXI, 159 p. 83 illus., 75 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringer Theses, Recognizing Outstanding Ph.D. Research,
_x2190-5061
505 0 _aIntroduction -- Literature Review -- Comprehensive Congestion Analysis for 6LoWPANs -- Congestion-Aware Routing Protocol for 6LoWPANs -- Game Theory Based Congestion Control Framework -- Optimization Based Hybrid Congestion Alleviation -- Conclusions and Future Work.
520 _aThe Internet of Things (IoT) is the next big challenge for the research community. The IPv6 over low power wireless personal area network (6LoWPAN) protocol stack is considered a key part of the IoT. In 6LoWPAN networks, heavy network traffic causes congestion which significantly degrades network performance and impacts on quality of service aspects. This book presents a concrete, solid and logically ordered work on congestion control for 6LoWPAN networks as a step toward successful implementation of the IoT and supporting the IoT application requirements. The book addresses the congestion control issue in 6LoWPAN networks and presents a comprehensive literature review on congestion control for WSNs and 6LoWPAN networks. An extensive congestion analysis and assessment for 6LoWPAN networks is explored through analytical modelling, simulations and real experiments. A number of congestion control mechanisms and algorithms are proposed to mitigate and solve the congestion problem in 6LoWPAN networks by using and utilizing the non-cooperative game theory, multi-attribute decision making and network utility maximization framework. The proposed algorithms are aware of node priorities and application priorities to support the IoT application requirements and improve network performance in terms of throughput, end-to-end delay, energy consumption, number of lost packets and weighted fairness index.
650 0 _aCooperating objects (Computer systems).
_96195
650 0 _aApplication software.
_936163
650 0 _aTelecommunication.
_910437
650 1 4 _aCyber-Physical Systems.
_932475
650 2 4 _aComputer and Information Systems Applications.
_936164
650 2 4 _aCommunications Engineering, Networks.
_931570
710 2 _aSpringerLink (Online service)
_936165
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030177317
776 0 8 _iPrinted edition:
_z9783030177331
776 0 8 _iPrinted edition:
_z9783030177348
830 0 _aSpringer Theses, Recognizing Outstanding Ph.D. Research,
_x2190-5061
_936166
856 4 0 _uhttps://doi.org/10.1007/978-3-030-17732-4
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c75933
_d75933