Although network-assisted device-to-device (D2D) communications are known to improve the spectral and energy efficiency of proximal communications, the performance of cooperative D2D schemes in licenced spectrum is le...
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In TCP communication in wireless multi-hop networks, traffic and inference increases relative to the number of acknowledgment (ACK) packets. PiggyCode, a previously proposed approach, focuses on the bidirectionality o...
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ISBN:
(纸本)9789881404770
In TCP communication in wireless multi-hop networks, traffic and inference increases relative to the number of acknowledgment (ACK) packets. PiggyCode, a previously proposed approach, focuses on the bidirectionality of DATA and ACK packets, and reduces the number of transmissions by encoding DATA and ACK packets. However, the effect of PiggyCode depends on the transmission rate. We propose a method to enhance the effect of network coding techniques regardless of transmission rate by inserting wait times into packet relay processes. Simulation results demonstrate the effectiveness of the proposed method. In addition, we propose a method to dynamically adjust wait times relative to hop count and traffic.
network coding (NC) is considered a new paradigm for distributed networks. However, NC has an all-or-nothing property. In this paper, we propose a sparse recovery approach using sparse sensing matrix to solve the NC a...
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network coding (NC) is considered a new paradigm for distributed networks. However, NC has an all-or-nothing property. In this paper, we propose a sparse recovery approach using sparse sensing matrix to solve the NC all-or-nothing problem over a finite field. The effectiveness of the proposed approach is evaluated based on a sensor network.
One of the remarkable challenges about Wireless Sensor networks (WSN) is how to transfer the collected data efficiently due to energy limitation of sensor nodes. network coding will increase network throughput of WSN ...
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One of the remarkable challenges about Wireless Sensor networks (WSN) is how to transfer the collected data efficiently due to energy limitation of sensor nodes. network coding will increase network throughput of WSN dramatically due to the broadcast nature of WSN. However, the network coding usually propagates a single original error over the whole network. Due to the special property of error propagation in network coding, most of error correction methods cannot correct more than C/2 corrupted errors where C is the max flow min cut of the network. To maximize the effectiveness of network coding applied in WSN, a new error-correcting mechanism to confront the propagated error is urgently needed. Based on the social network characteristic inherent in WSN and L1 optimization, we propose a novel scheme which successfully corrects more than C/2 corrupted errors. What is more, even if the error occurs on all the links of the network, our scheme also can correct errors successfully. With introducing a secret channel and a specially designed matrix which can trap some errors, we improve John and Yi's model so that it can correct the propagated errors in network coding which usually pollute exactly 100% of the received messages. Taking advantage of the social characteristic inherent in WSN, we propose a new distributed approach that establishes reputation-based trust among sensor nodes in order to identify the informative upstream sensor nodes. With referred theory of social networks, the informative relay nodes are selected and marked with high trust value. The two methods of L1 optimization and utilizing social characteristic coordinate with each other, and can correct the propagated error whose fraction is even exactly 100% in WSN where network coding is performed. The effectiveness of the error correction scheme is validated through simulation experiments.
In this paper, the applicability of the network coding technique in 6LoWPAN-based sensor multihop networks is examined. The 6LoWPAN is one of the standards proposed for the Internet of Things architecture. Thus, we ca...
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In this paper, the applicability of the network coding technique in 6LoWPAN-based sensor multihop networks is examined. The 6LoWPAN is one of the standards proposed for the Internet of Things architecture. Thus, we can expect the significant growth of traffic in such networks, which can lead to overload and decrease in the sensor network lifetime. The authors propose the inter-session network coding mechanism that can be implemented in resource-limited sensor motes. The solution reduces the overall traffic in the network, and in consequence, the energy consumption is decreased. Used procedures take into account deep header compressions of the native 6LoWPAN packets and the hop-by-hop changes of the header structure. Applied simplifications reduce signaling traffic that is typically occurring in network coding deployments, keeping the solution usefulness for the wireless sensor networks with limited resources. The authors validate the proposed procedures in terms of end-to-end packet delay, packet loss ratio, traffic in the air, total energy consumption, and network lifetime. The solution has been tested in a real wireless sensor network. The results confirm the efficiency of the proposed technique, mostly in delay-tolerant sensor networks.
Maximal multicast stream algorithm based on network coding (NC) can improve the network's throughput for wavelength-division multiplexing (WDM) networks, which however is far less than the network's maximal th...
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Recently, the wireless sensor network paradigm is shifting toward research aimed at enabling the robust delivery of multimedia content. A challenge is to deliver multimedia content with predefined levels of Quality of...
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Recently, the wireless sensor network paradigm is shifting toward research aimed at enabling the robust delivery of multimedia content. A challenge is to deliver multimedia content with predefined levels of Quality of Service (QoS) under resource constraints such as bandwidth, energy, and delay. In this paper, we propose a distributed systematic network coding (DSNC) scheme for reliable multimedia content uploading over wireless multimedia sensor networks, in which a large number of multimedia sensor nodes upload their own content to a sink through a cluster head node. The design objective is to increase the reliability and bandwidth-efficient utilization in uploading with low decoding complexity. The proposed scheme consists of two phases: in the first phase, each sensor node distributedly encodes the content into systematic network coding packets and transmits them to the cluster head;then in the second phase, the cluster head encodes all successfully decoded incoming packets from multiple sensor nodes into innovative systematic network coding packets and transmits them to the sink. A bandwidth-efficient and channel-aware error control algorithm is proposed to enhance the bandwidth-efficient utilization by dynamically determining the optimal number of innovative coded packets. For performance analysis and evaluation, we firstly derive the closed-form equations of decoding probability to validate the effectiveness of the proposed uploading scheme. Furthermore, we perform various simulations along with a discussion in terms of three performance metrics: decoding probability, redundancy, and image quality measurement. The analytical and experimental results demonstrate that the performance of our proposed DSNC outperforms the existing uploading schemes.
network coding (NC) is a technique that can be used to improve a network's throughput. In addition, it has significant potential to improve the security, manageability, resilience (to packet losses, link failures ...
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network coding (NC) is a technique that can be used to improve a network's throughput. In addition, it has significant potential to improve the security, manageability, resilience (to packet losses, link failures and node departures) and the support of quality of service, in both wired and wireless network environments. The idea is to allow intermediate nodes of the network (i. e. switches and/or routers) to mix the contents of incoming data packets before forwarding them. Something that, traditionally carried out at source nodes, is therefore extended to the network, creating an array of new options. The difficulty of deploying NC on traditional switches lies in the impossibility to change or extend their operation with the requirements of this new paradigm. The devices are closed, the software and underlying hardware are vendor specific, and follow a fixed set of protocols and processing pipeline. This rigidity precludes NC in today's switches and routers. Fortunately, programmable switches are beginning to emerge, with some already achiev- ing production-levels and reaching the market (e. g., Barefoot Tofino). A new high-level language to program these switches has recently been proposed: P4. The P4 language al- lows the precise definition of how packets are processed in these programmable switches. Namely, it enables the definition of headers, parsers, match-action tables, and the pro- cessing pipeline itself. Therefore, by taking advantage of these constructs, P4 enables the deployment of NC, on the switch's data plane, for the first time. In this dissertation, we design and implement two NC switches using the P4 language. Both switches employ Linear network coding (LNC). The main difference is that the first (P4-XOR Switch), simply performs the XOR of packets (i. e., a linear code with field size 2). The second (P4-RLNC Switch) is more generic, allowing larger field sizes. For this purpose it performs Random Linear network coding (RLNC), which is a random vari
Border Gateway Protocol (BGP), with its advantages in routing isolation support and mature application, is a promising candidate to integrate satellite systems into the terrestrial IP network. However, with more and m...
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In this paper, we propose an implementation of a real-time multimedia streaming system that can simultaneously support a large number of clients. The proposed solution is based on systematic network coding that does n...
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ISBN:
(纸本)9781538630259
In this paper, we propose an implementation of a real-time multimedia streaming system that can simultaneously support a large number of clients. The proposed solution is based on systematic network coding that does not require feedback channels for acknowledgment or retransmission while it is resilient to packet erasures. Our experiment includes simultaneous full HD video transmission to 20 clients with 4 different types of mobile devices. The measured results confirm that the proposed system is the most robust against the packet losses compared to two conventional real-time streaming solutions.
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