Titlebook: Congestion Control for 6LoWPAN Wireless Sensor Networks: Toward the Internet of Things; Hayder Al-Kashoash Book 2020 Springer Nature Switz

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A. Williams,A. R. Lea-Langton,K. D. Bartlen estimate by Bell Labs suggests that from 50 to 100 billion things are expected to be connected to the Internet by 2020 [.], and the number of the wireless sensor devices will account for a majority of these. Generally, the applications can be categorized into four types: event-based, continuous, q

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Michael Peter Meyer,Rune Peter Lindstedtgineering, i.e. selection of an alternate non-congested path (resource control) to forward packets to destination nodes [., .]. In traffic control, the sending rate of the source node is reduced to a specific value such that the number of injected packets into the network is reduced and therefore, c

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Hayder Al-KashoashPresents logically ordered research on congestion control for 6LoWPAN networks and how this can be implemented in IoT.Reviews existing literature and congestion control algorithms comprehensively to p

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Book 2020rotocol 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 6LoWPA

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2190-5053 ature and congestion control algorithms comprehensively to p.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 traf

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A. Williams,A. R. Lea-Langton,K. D. Bartleard routing protocol for 6LoWPAN networks [.]. Many metrics have been proposed to be used with RPL that can be divided into link and node metrics, e.g. hop count, expected transmission count (ETX), node energy, latency, link quality and throughput [.].

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