03986nam 22005775 450 991036661150332120200703163730.03-030-17732-710.1007/978-3-030-17732-4(CKB)4100000007992444(MiAaPQ)EBC5754998(DE-He213)978-3-030-17732-4(PPN)235666556(EXLCZ)99410000000799244420190417d2020 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierCongestion Control for 6LoWPAN Wireless Sensor Networks: Toward the Internet of Things /by Hayder Al-Kashoash1st ed. 2020.Cham :Springer International Publishing :Imprint: Springer,2020.1 online resource (182 pages)Springer Theses, Recognizing Outstanding Ph.D. Research,2190-50533-030-17731-9 Introduction -- 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.The 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.Springer Theses, Recognizing Outstanding Ph.D. Research,2190-5053Computer engineeringInternet of thingsEmbedded computer systemsApplication softwareElectrical engineeringCyber-physical systems, IoThttps://scigraph.springernature.com/ontologies/product-market-codes/T24080Information Systems Applications (incl. Internet)https://scigraph.springernature.com/ontologies/product-market-codes/I18040Communications Engineering, Networkshttps://scigraph.springernature.com/ontologies/product-market-codes/T24035Computer engineering.Internet of things.Embedded computer systems.Application software.Electrical engineering.Cyber-physical systems, IoT.Information Systems Applications (incl. Internet).Communications Engineering, Networks.004.678Al-Kashoash Hayderauthttp://id.loc.gov/vocabulary/relators/aut1064585BOOK9910366611503321Congestion Control for 6LoWPAN Wireless Sensor Networks: Toward the Internet of Things2539296UNINA