Network Coding for Sensor Networks

Haykin, S.; Liu, K. J. Ray

doi:10.1002/9780470487068.ch20

Cited by 6 publications

(2 citation statements)

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“…In this regard, there are several topics that illustrate the state-of-the-art research and development in Wireless Sensor Networks. These includes, among others, cross-layer design techniques [192], pervasive security [185], bio-inspired networking [93], context-awareness [71], fuzzy logic systems [255], body area networks [307], knowledge-aware computing [72], service discovery architectures [196], information theory and network coding [101], opportunistic routing [170] and wireless multimedia sensor networks [18]. Moreover, and within the context of this dissertation, some other novel research directions in Wireless Sensor…”

Section: Emerging Researchmentioning

confidence: 99%

Service architecting and dynamic composition in pervasive smart ecosystems for the internet of things based on sensor network technology

Familiar

Martínez

Garcia-Rubio

2014

Journal of Ambient Intelligence and Smart Environments

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Why pervasive awareness and Ambient Intelligence are perceived by a great part of the academia and industry as a massive revolution in the short-term? In our best knowledge, a cornerstone of this thought is based on the fact that the ultimate nature of the smart environment paradigm is not in the technology itself, but on a people-centered approach. Perhaps, is in this apparently simple conception where precisely lies the boldness of this promising vision, which has been consolidated in recent years with the emerging proliferation of mobile, personal, portable, wearable and sensory computing: to reach everyone and everywhere. On the one hand, it touches our daily lives in a close manner, minimizing the required attention from the users, anticipating to their needs with the main intention of redefining our idea of Quality of Experience. On the other hand, this new wave impacts everywhere at both global and personal scales allowing expanded connectivity between devices and smart objects, in a dynamic and ubiquitous manner, as a natural extension of the physical world around us.According to the above, this doctoral dissertation focuses on contributing to the integration of software and networking engineering advances in the field of pervasive smart spaces and environment using sensor networks. This is founded on the convergence of some information technology and computer science paradigms, such as service and agent orientation, semantic technologies and knowledge management in the framework of pervasive computing and the Internet of Things. To this end, the nSOM (nano Service-Oriented Middleware) and nSOL (nano Semantics-Oriented Language) approaches are presented. Firstly, the nSOM proposal defines a service-oriented platform for the implementation, deployment and exposure of agentbased in-network services to the Internet cloud on heterogeneous sensor devices. Secondly, the nSOL solution enables an abstraction for supporting ubiquitous service composition based on semantic knowledge management. The integration of both contributions leads to the formal modelling and practical development of adaptive virtual sensor services for pervasive Ambient Intelligence ecosystems. This work includes also the related performance characterization of the resulting prototype according to several metrics such as code size, volatile memory footprint, CPU overhead, service time delay and battery lifetime. Main foundations and outcomes presented in this essay are contextualized in the following European Research Projects: µSWN (FP6 code: IST-034642), DiYSE (ITEA2 code: 08005) and LifeWear (ITEA2 code: 09026).

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Section: Emerging Researchmentioning

confidence: 99%

Service architecting and dynamic composition in pervasive smart ecosystems for the internet of things based on sensor network technology

Familiar

Martínez

Garcia-Rubio

2014

Journal of Ambient Intelligence and Smart Environments

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“…For the case of correlated sources (messages), performing distributed lossy or lossless source coding [5] has shown to be sufficient, even if adopted along routing-based packet forwarding [6,7,8]. However, advantages of network coding have drawn attention, especially in the case of lossy networks [9]. As a new advantage of network coding, in cases where the knowledge of appropriate information rates for performing distributed source coding is not available at the encoders' side, random linear network coding seems to be helpful.…”

Section: Introductionmentioning

confidence: 99%

Non-adaptive distributed compression in networks

Nabaee

Labeau

2013

2013 IEEE Digital Signal Processing and Signal Processing Education Meeting (DSP/SPE)

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In this paper, we discuss non-adaptive distributed compression of inter-node correlated real-valued messages. To do so, we discuss the performance of conventional packet forwarding via routing, in terms of the total network load versus the resulting quality of service (distortion level). As a better alternative for packet forwarding, we briefly describe our previously proposed one-step Quantized Network Coding (QNC), and make motivating arguments on its advantage when the appropriate marginal rates for distributed source coding are not available at the encoder source nodes. We also derive analytic guarantees on the resulting distortion of our one-step QNC scenario. Finally, we conclude the paper by providing a mathematical comparison between the total network loads of one-step QNC and conventional packet forwarding, showing a significant reduction in the case of one-step QNC. * M. Nabaee and F. Labeau are with the

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