A greedy approach for resource allocation in Virtual Sensor Networks

Virtual Sensor Networks (VSNs) envision the creation of general purpose wireless sensor networks which can be easily adapted and configured to support multifold applications with heterogeneous requirements, in contrast with the classical approach of wireless sensor networks vertically optimized on one specific task/service. The very heart of VSNs' vision is the capability to dynamically allocate shared physical resources (processing power, bandwidth, storage) to multiple incoming applications. In this context, we tackle the problem of optimally allocating shared resources in VSNs by proposing an efficient greedy heuristic that aims to maximize the total revenue out of the deployment of multiple concurrent applications while considering the inherent limitations of the shared physical resources. The proposed heuristic is tested on realistic network instances with notable performances in terms of execution time while keeping the gap with respect to the optimal solution limited (below 5% in the tested environments)

Redes de sensores sem fio / redes virtuais de sensores: uma análise literária

With the great progress of network technologies, an area has been gradually gaining its space: the Wireless Sensor Networks (WSNs). These networks may be used to receive information about various phenomena, such as forest fires, earthquakes and tsunamis; and to locate objects or people. With so many uses approached for this type of network, and since the common WSNs depend a lot on the application to which they are meant, they had to evolve and, instead of a single network monitoring a single phenomenon, we may have these networks acting in a cooperative way. Moreover, their nodes may be used by several applications at the same time in several Virtual Sensor Networks. This work aims to integrate many others published on the internet, and to facilitate the understanding of this technology.Com o grande avanço das tecnologias de redes, uma área vem ganhando seu espaço aos poucos. São as redes de sensores sem fio (RSSFs). Essas redes podem ser utilizadas para receber informações sobre variados fenômenos, como por exemplo queimadas, terremotos e tsunamis; e para localizar objetos ou pessoas. Com tantas utilidades abordadas para esse tipo de rede e como as RSSFs comuns dependem muito da aplicação à qual são destinadas, foi necessário que elas evoluíssem e, ao invés de uma única rede monitorar um único fenômeno, essas redes podem trabalhar de forma cooperativa e seus nós podem ser utilizados por diversas aplicações ao mesmo tempo por diversas Redes Virtuais de Sensores. Este trabalho tem como objetivo integrar muitos outros trabalhos dispersos pela internet e facilitar melhor a compreensão dessa tecnologia

Overlay virtualized wireless sensor networks for application in industrial internet of things : a review

Abstract: In recent times, Wireless Sensor Networks (WSNs) are broadly applied in the Industrial Internet of Things (IIoT) in order to enhance the productivity and efficiency of existing and prospective manufacturing industries. In particular, an area of interest that concerns the use of WSNs in IIoT is the concept of sensor network virtualization and overlay networks. Both network virtualization and overlay networks are considered contemporary because they provide the capacity to create services and applications at the edge of existing virtual networks without changing the underlying infrastructure. This capability makes both network virtualization and overlay network services highly beneficial, particularly for the dynamic needs of IIoT based applications such as in smart industry applications, smart city, and smart home applications. Consequently, the study of both WSN virtualization and overlay networks has become highly patronized in the literature, leading to the growth and maturity of the research area. In line with this growth, this paper provides a review of the development made thus far concerning virtualized sensor networks, with emphasis on the application of overlay networks in IIoT. Principally, the process of virtualization in WSN is discussed along with its importance in IIoT applications. Different challenges in WSN are also presented along with possible solutions given by the use of virtualized WSNs. Further details are also presented concerning the use of overlay networks as the next step to supporting virtualization in shared sensor networks. Our discussion closes with an exposition of the existing challenges in the use of virtualized WSN for IIoT applications. In general, because overlay networks will be contributory to the future development and advancement of smart industrial and smart city applications, this review may be considered by researchers as a reference point for those particularly interested in the study of this growing field

Wireless Sensor Network Virtualization: A Survey

Wireless Sensor Networks (WSNs) are the key components of the emerging Internet-of-Things (IoT) paradigm. They are now ubiquitous and used in a plurality of application domains. WSNs are still domain specific and usually deployed to support a specific application. However, as WSN nodes are becoming more and more powerful, it is getting more and more pertinent to research how multiple applications could share a very same WSN infrastructure. Virtualization is a technology that can potentially enable this sharing. This paper is a survey on WSN virtualization. It provides a comprehensive review of the state-of-the-art and an in-depth discussion of the research issues. We introduce the basics of WSN virtualization and motivate its pertinence with carefully selected scenarios. Existing works are presented in detail and critically evaluated using a set of requirements derived from the scenarios. The pertinent research projects are also reviewed. Several research issues are also discussed with hints on how they could be tackled.Comment: Accepted for publication on 3rd March 2015 in forthcoming issue of IEEE Communication Surveys and Tutorials. This version has NOT been proof-read and may have some some inconsistencies. Please refer to final version published in IEEE Xplor