An Experimental Study of Congestion Control in Wireless Sensor Networks Using a Combination of Resource and Traffic Control PDF Download
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Author: Tarik Ismail Hassan Khalel
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Tarik Ismail Hassan Khalel
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Bret Warren Hull
Publisher:
ISBN:
Category :
Languages : en
Pages : 105
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Network congestion occurs when offered traffic load exceeds available capacity at any point in a network. In wireless sensor networks, congestion causes overall channel quality to degrade and loss rates to rise, leads to buffer drops and increased delays (as in wired networks), and tends to be grossly unfair toward nodes whose data has to traverse a larger number of radio hops. Congestion control in wired networks is usually done using end-to-end and network-layer mechanisms acting in concert. However, this approach does not solve the problem in wireless networks because concurrent radio transmissions on different "links" interact with and affect each other, and because radio channel quality shows high variability over multiple time-scales. In this thesis, we examine three techniques that span different layers of the traditional protocol stack: hop-by-hop flow control, rate limiting source traffic when transit traffic is present, and a prioritized medium access control (MAC) protocol. We implement these techniques and present experimental results from a 55-node in-building wireless sensor network. We demonstrate that the combination of these techniques can improve network efficiency by a factor of three under realistic workloads.
Author: Hayder Al-Kashoash
Publisher: Springer
ISBN: 3030177327
Category : Technology & Engineering
Languages : en
Pages : 159
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Book Description
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.
Author: Kevin L. Mills
Publisher: DIANE Publishing
ISBN: 143793899X
Category : Computers
Languages : en
Pages : 570
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This is a print on demand edition of a hard to find publication. Society is becoming increasingly reliant on large networked information systems for commerce, communication, education, entertainment and government. Currently, however, system designers lack techniques to predict global behaviors that may arise in the Internet as a result of interactions among existing and altered software components. Hardware faults and unexpected usage patterns may also occur within the Internet. This study aims to improve existing knowledge about a range of methods and tools that could be applied to understand and predict behavior in complex information systems. Charts and tables.
Author: Charalampos Th Sergiou
Publisher:
ISBN:
Category : Computer networks
Languages : en
Pages : 203
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Author: HAYDER. AL-KASHOASH
Publisher: Springer
ISBN: 9783030177348
Category :
Languages : en
Pages : 192
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Author: Venugopal K R
Publisher: CRC Press
ISBN: 1040134351
Category : Computers
Languages : en
Pages : 330
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A ready reference for the next-generation discovery techniques, this book presents advanced research findings on resource discovery, network navigability, and trust management on the Internet of Things (IoT) and Social Internet of Things (SIoT) ecosystems. It discusses the benefits of integrating social networking concepts into the Internet of Things to find the preferable, reliable, scalable, and near-optimal detection of things or services. It explores the concepts of the Social Internet of Things in different domains of IoT, such as the Internet of Vehicles and the Industrial Internet of Things. This book works to recognize and respond to user queries and improve service provisioning, find the optimal solution for the link selection in the SIoT structure, develop large-scale platforms, and provide a smart mechanism for trust evaluation. · Covers the rapid advancements in low-cost sensor manufacturing, communication protocols, embedded systems, actuators, and hardware miniaturization that have contributed to the exponential growth of the IoT · Presents the fundamentals of a search system for sensor search and resource discovery in an IoT ecosystem · Includes the applicability of different search techniques across several application domains of the IoT under various use case scenarios · Discusses the thrust areas in SIoT (service discovery and composition, network navigability, relationship management, and trustworthiness management) and presents several prerequisites, challenges, and use case scenarios · Provides insights into current challenges in the domains of Internet of Things and Social Internet of Things This book will be helpful to researchers, scholars, and postgraduate students in Computer Science and Information Technology departments.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 7
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In this paper we propose a distributed congestion control algorithm for tree based communications in wireless sensor networks, that seeks to adaptively assign a fair and efficient transmission rate to each node. In our algorithm, each node monitors its aggregate output and input traffic rates. Based on the difference of the two, a node then decides either to increase or decrease the bandwidth allocable to a flow originating from itself and to those being routed through it. Since the application requirements in sensor network follows no common trait, our design abstracts the notion of fairness, allowing for the development of a generic utility controlling module. Such separation of the utility and fairness controlling modules enables each one to use a separate control law, thereby portraying a more flexible design. The working of our congestion control is independent of the underlying routing algorithm and is designed to adapt to changes in the underlying routing topology. We evaluate the performance of the algorithm via extensive simulations using an event-driven packet level simulator. The results suggest that the proposed protocol acquires a significantly high goodput of around 95% of the actual transmission rate, converges quickly to the optimal rate, and attains the desired fairness.
Author: Vaibhav Eknath Narawade, 1st
Publisher:
ISBN: 9781685763558
Category :
Languages : en
Pages : 0
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Wireless Sensor networks (WSN) has emerged as the effective tool for gathering the information from the remote environment. The sensor node communicates with the base station simultaneously when the data is available. This results in the packet loss at the receiving node. Since the nodes operated in the WSN are battery operated, retransmission of the data packets due to the congestion results in the failure of the system. Thus avoiding the congestion in the nodes has emerged as important research topic. In this book work utilizes a congestion threshold for determining the congested node in the WSN. Since the data packets have its own priority, the low priority data packets are dropped during the transmission to reduce the congestion. The presence of the congestion in the node can be lowered by making the share rate of the child nodes less than the service rate of the parent node. In this thesis, the congestion avoidance is done by choosing the optimal share rate with three proposed works. The proposed work included in this thesis is ACSRO, EACSRO, and NNRA algorithm. The proposed ACSRO algorithm modifies the existing CS algorithm and uses a proposed fitness function for finding the optimal share rate. The proposed ACSRO algorithm uses the adaptive step size for modifying the existing CS algorithm. The proposed EACSRO algorithm modifies the ACSRO algorithm with the use of the epsilon constraint. The proposed NNRA algorithm uses the NARX based neural network of the optimization process.
Author: Anand Kulkarni
Publisher:
ISBN:
Category : Routing protocols (Computer network protocols)
Languages : en
Pages : 116
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