Congestion Control for 6lowpan Wireless Sensor Networks: Toward the Internet of Things
暫譯: 6LoWPAN 無線感測網路的擁塞控制:邁向物聯網
Al-Kashoash, Hayder
- 出版商: Springer
- 出版日期: 2019-05-03
- 售價: $4,470
- 貴賓價: 9.5 折 $4,247
- 語言: 英文
- 頁數: 159
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3030177319
- ISBN-13: 9783030177317
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相關分類:
感測器 Sensor、物聯網 IoT
海外代購書籍(需單獨結帳)
相關主題
商品描述
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.商品描述(中文翻譯)
物聯網(IoT)是研究社群面臨的下一個重大挑戰。低功耗無線個人區域網路(6LoWPAN)協定堆疊被視為物聯網的關鍵部分。在6LoWPAN網路中,繁重的網路流量會導致擁塞,這會顯著降低網路性能並影響服務品質的各個方面。本書針對6LoWPAN網路的擁塞控制提供了一個具體、穩固且邏輯有序的研究,作為成功實現物聯網及支持物聯網應用需求的一步。
本書探討了6LoWPAN網路中的擁塞控制問題,並提供了針對無線感測網路(WSNs)和6LoWPAN網路的擁塞控制文獻綜述。透過分析建模、模擬和實際實驗,對6LoWPAN網路進行了廣泛的擁塞分析和評估。提出了多種擁塞控制機制和演算法,利用非合作博弈理論、多屬性決策制定和網路效用最大化框架來減輕和解決6LoWPAN網路中的擁塞問題。所提出的演算法考慮了節點優先級和應用優先級,以支持物聯網應用需求並改善網路性能,包括吞吐量、端到端延遲、能量消耗、丟包數量和加權公平指數。
作者簡介
Dr Hayder Al-Kashoash is a Lecturer at Southern Technical University (STU), Basra, Iraq. He received his Bachelor degree and Master degree in Computer Engineering from University of Basra, Iraq and his PhD degree in Electronic and Electrical Engineering from The University of Leeds, UK. He received The FW Carter Prize for writing the best doctoral thesis of the year 2017-2018 in the School of Electronic and Electrical Engineering, The University of Leeds, UK. He was awarded the Iraqi Prime Minister Office Scholarship to pursue the PhD degree. Throughout his undergraduate degree, he graduated first in his school and third in his Faculty and was also the recipient of first student award in his faculty of the year 2006-2007. He has authored more than 11 journal and conference papers and reviewed more than 10 journal papers. His current research interests include congestion control and resource management in WSNs, 6LoWPAN, and LPWAN by utilizing game theory and optimization theory.
作者簡介(中文翻譯)
Dr Hayder Al-Kashoash 是伊拉克巴士拉南方科技大學 (Southern Technical University, STU) 的講師。他在伊拉克巴士拉大學獲得計算機工程的學士和碩士學位,並在英國利茲大學 (The University of Leeds) 獲得電子與電氣工程的博士學位。他因撰寫2017-2018年度利茲大學電子與電氣工程學院最佳博士論文而獲得FW Carter獎。他獲得伊拉克總理辦公室獎學金以攻讀博士學位。在本科期間,他以全校第一和學院第三的成績畢業,並於2006-2007年度獲得學院的首屆學生獎。他已發表超過11篇期刊和會議論文,並審稿超過10篇期刊論文。他目前的研究興趣包括利用博弈論和優化理論進行無線感測網路 (WSNs)、6LoWPAN 和 LPWAN 的擁塞控制和資源管理。