Survey of Network Coding and Its Applications

Matsuda, Takahiro; Noguchi, Taku; Takine, Tetsuya

doi:10.1587/transcom.e94.b.698

Cited by 69 publications

(38 citation statements)

References 129 publications

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“…Network error correcting codes and network erasure correcting codes are considered as two possible techniques which use spatial redundancy concepts to improve robustness [40]. Network coding can help to enhance the robustness in data transfer by playing a similar role in traditional FEC, i.e., source-based coding schemes.…”

Section: Network Codingmentioning

confidence: 99%

Wireless Industrial Monitoring and Control Networks: The Journey So Far and the Road Ahead

Zand

Chatterjea

Das

et al. 2012

JSAN

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While traditional wired communication technologies have played a crucial role in industrial monitoring and control networks over the past few decades, they are increasingly proving to be inadequate to meet the highly dynamic and stringent demands of today's industrial applications, primarily due to the very rigid nature of wired infrastructures. Wireless technology, however, through its increased pervasiveness, has the potential to revolutionize the industry, not only by mitigating the problems faced by wired solutions, but also by introducing a completely new class of applications. While present day wireless technologies made some preliminary inroads in the monitoring domain, they still have severe limitations especially when real-time, reliable distributed control operations are concerned. This article provides the reader with an overview of existing wireless technologies commonly used in the monitoring and control industry. It highlights the pros and cons of each technology and assesses the degree to which each technology is able to meet the stringent demands of industrial monitoring and control networks. Additionally, it summarizes mechanisms proposed by academia, especially serving critical applications by addressing the real-time and reliability requirements of industrial process automation. The article also describes certain key research problems from the physical layer communication for sensor networks and the wireless networking perspective that have yet to be addressed to allow the successful use of wireless technologies in industrial monitoring and control networks.

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Section: Network Codingmentioning

confidence: 99%

Wireless Industrial Monitoring and Control Networks: The Journey So Far and the Road Ahead

Zand

Chatterjea

Das

et al. 2012

JSAN

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“…Interested readers may refer to the literature [13], [15], [18] for details of linear network coding.…”

Section: Monitoring Ambiguity [11]mentioning

confidence: 99%

Bitwise Operation-Based In-Network Processing for Loss Tomography

Matsuda

Takine

2013

IEICE Trans. Commun.

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SUMMARYNetwork tomography is an inference technique for internal network characteristics such as link loss rate and link delay from end-toend measurements. In this paper, we consider network tomography for link loss rates, which is referred to as loss tomography. We propose a loss tomography scheme with bitwise operation-based in-network processing. Intermediate nodes generate coded packets by performing bitwise-operations on received packets so as to embed information about paths along which those packets have been transmitted. The coded packets are then forwarded to downstream nodes. In this way, receiver nodes obtain information about paths along which packets are transmitted successfully. Moreover, we show a recursion to compute the likelihood function of path loss rates, which can be utilized in estimating link loss rates from path loss information. key words: network tomography, link loss rates, in-network processing, likelihood function

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“…Network coding (NC) has been studied as an in-network coding approach to enhance throughput, robustness, and security [5][6][7]. In STNC scheme, in the collection phase, two or more redundant packets are encoded by means of XOR (Exclusive OR) operation into an encoded packet if rules are satisfied, so that the number of redundant packets can be reduced.…”

Section: Introductionmentioning

confidence: 99%

Side Trip Multipath Routing Protocol for Spatial Node Failure in Data-Gathering WSNs

Fujita

Takaki

Ohta

et al. 2016

International Journal of Distributed Sensor Networks

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In severe disaster environments, data-gathering wireless sensor networks possibly suffer from spatial node failure due to external factors such as land slide and river overflow. In order to enhance tolerance to spatial node failure, this paper proposes not only a multipath data gathering protocol called "Side Trip (ST)" scheme but also an improved version of ST scheme called "Side Trip with Network Coding (STNC)" scheme. In the ST scheme, a node establishes a secondary path which passes through nodes almost the same hop count away from the sink in order to spatially separate the path from the primary path and enhance spatial node-failure tolerance. In the STNC scheme, redundant packets from different source nodes are network-coded into an encoded packet in order to reduce the number of redundant packets and the impact on the system lifetime. We compare the ST scheme, STNC scheme, and two existing multipath protocols (i.e., H-SPREAD (Hybrid-Secure Protocol for REliable dAta Delivery) scheme and SMRP (Subbranch Multipath Routing Protocol) scheme) by means of a self-developed simulator. Simulation results show that STNC scheme and ST scheme enhance tolerance to node-failure compared to H-SPREAD scheme and SMRP scheme with no significant impact on system lifetime.

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Survey of Network Coding and Its Applications

Cited by 69 publications

References 129 publications

Wireless Industrial Monitoring and Control Networks: The Journey So Far and the Road Ahead

Wireless Industrial Monitoring and Control Networks: The Journey So Far and the Road Ahead

Bitwise Operation-Based In-Network Processing for Loss Tomography

Side Trip Multipath Routing Protocol for Spatial Node Failure in Data-Gathering WSNs

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