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Congestion Control for 6LoWPAN Wireless Sensor Networks: Toward the Internet of Things
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Congestion Control for 6LoWPAN Wireless Sensor Networks: Toward the Internet of Things/ by Hayder Al-Kashoash.
作者:
Al-Kashoash, Hayder.
面頁冊數:
XXXI, 159 p. 83 illus., 75 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Communications Engineering, Networks. -
電子資源:
https://doi.org/10.1007/978-3-030-17732-4
ISBN:
9783030177324
Congestion Control for 6LoWPAN Wireless Sensor Networks: Toward the Internet of Things
Al-Kashoash, Hayder.
Congestion Control for 6LoWPAN Wireless Sensor Networks: Toward the Internet of Things
[electronic resource] /by Hayder Al-Kashoash. - 1st ed. 2020. - XXXI, 159 p. 83 illus., 75 illus. in color.online resource. - Springer Theses, Recognizing Outstanding Ph.D. Research,2190-5053. - Springer Theses, Recognizing Outstanding Ph.D. Research,.
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.
ISBN: 9783030177324
Standard No.: 10.1007/978-3-030-17732-4doiSubjects--Topical Terms:
669809
Communications Engineering, Networks.
LC Class. No.: TK7885-7895
Dewey Class. No.: 621.38
Congestion Control for 6LoWPAN Wireless Sensor Networks: Toward the Internet of Things
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