Virtualization of Event Sources in Wireless Sensor Networks for the Internet of Things

Martínez, Néstor Lucas; Martínez-Ortega, José-Fernán; Díaz, Vicente Hernández

doi:10.3390/s141222737

Cited by 10 publications

(6 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The use of virtualization for abstracting the capabilities of heterogeneous devices has already been used in other domains. For instance, in [43], Lucas Martínez et al described a model for the virtualization of event sources inspired by the IoT-A domain model [44]. This model, as partially illustrated in Figure 6, provides the access to the capabilities of a physical entity by the use of the services and resources exposed through its virtual representation as a virtual entity.…”

Section: The Use Of Heterogenous Vehicles: Virtualizationmentioning

confidence: 99%

Survey of Mission Planning and Management Architectures for Underwater Cooperative Robotics Operations

et al. 2020

Self Cite

View full text Add to dashboard Cite

Almost every research project that focuses on the cooperation of autonomous robots for underwater operations designs their own architectures. As a result, most of these architectures are tightly coupled with the available robots/vehicles for their respective developments, and therefore the mission plan and management is done using an ad-hoc solution. Typically, this solution is tightly coupled to just one underwater autonomous vehicle (AUV), or a restricted set of them selected for the specific project. However, as the use of AUVs for underwater operations increases, there is the need to identify some commonalities and weaknesses of these architectures, specifically in relation to mission planning and management. In this paper, we review a selected number of architectures and frameworks that in one way or another make use of different approaches to mission planning and management. Most of the selected works were developed for underwater operations. Still, we have included some other architectures and frameworks from other domains that can be of interest for the survey. The explored works have been assessed using selected features related to mission planning and management, considering that underwater operations are performed in an uncertain and unreliable environment, and where unexpected events are not strange. Furthermore, we have identified and highlighted some potential challenges for the design and implementation of mission managers. This provides a reference point for the development of a mission manager component to be integrated in architectures for cooperative robotics in underwater operations, and it can serve for the same purposes in other domains of application.

show abstract

Section: The Use Of Heterogenous Vehicles: Virtualizationmentioning

confidence: 99%

Survey of Mission Planning and Management Architectures for Underwater Cooperative Robotics Operations

et al. 2020

Self Cite

View full text Add to dashboard Cite

show abstract

“…Specifically, sensor nodes are one-coverage when deployed and are k -coverage for improving the accuracy of event detection. A virtualization for representing event sources is presented in [ 44 ], which serve as Internet sources and can be accessed by Internet applications. A survey about the anomaly detection in WSNs is presented in [ 19 ].…”

Section: Related Work and Comparisonmentioning

confidence: 99%

Event Coverage Detection and Event Source Determination in Underwater Wireless Sensor Networks

Zhou

Xing

Duan

et al. 2015

Sensors

View full text Add to dashboard Cite

With the advent of the Internet of Underwater Things, smart things are deployed in the ocean space and establish underwater wireless sensor networks for the monitoring of vast and dynamic underwater environments. When events are found to have possibly occurred, accurate event coverage should be detected, and potential event sources should be determined for the enactment of prompt and proper responses. To address this challenge, a technique that detects event coverage and determines event sources is developed in this article. Specifically, the occurrence of possible events corresponds to a set of neighboring sensor nodes whose sensory data may deviate from a normal sensing range in a collective fashion. An appropriate sensor node is selected as the relay node for gathering and routing sensory data to sink node(s). When sensory data are collected at sink node(s), the event coverage is detected and represented as a weighted graph, where the vertices in this graph correspond to sensor nodes and the weight specified upon the edges reflects the extent of sensory data deviating from a normal sensing range. Event sources are determined, which correspond to the barycenters in this graph. The results of the experiments show that our technique is more energy efficient, especially when the network topology is relatively steady.

show abstract

“…It shows some smart services with a real infrastructure (sensor nodes, communication paths, base station, etc. ) defined as a Real Smart Service ( RSS ), coexisting with other services comprised of combining and processing the information available, defined as Virtual Smart Services ( VSS ) [ 31 , 32 , 33 ]. In this environment the components to protect are sensor nodes, communication paths, base station, and sensible data that flow through them in the RSS .…”

Section: Implementation Of the Solution In The Accus Project Envirmentioning

confidence: 99%

Trust and Privacy Solutions Based on Holistic Service Requirements

Alcón

López

Martínez-Ortega

et al. 2015

Sensors

Self Cite

View full text Add to dashboard Cite

The products and services designed for Smart Cities provide the necessary tools to improve the management of modern cities in a more efficient way. These tools need to gather citizens’ information about their activity, preferences, habits, etc. opening up the possibility of tracking them. Thus, privacy and security policies must be developed in order to satisfy and manage the legislative heterogeneity surrounding the services provided and comply with the laws of the country where they are provided. This paper presents one of the possible solutions to manage this heterogeneity, bearing in mind these types of networks, such as Wireless Sensor Networks, have important resource limitations. A knowledge and ontology management system is proposed to facilitate the collaboration between the business, legal and technological areas. This will ease the implementation of adequate specific security and privacy policies for a given service. All these security and privacy policies are based on the information provided by the deployed platforms and by expert system processing.

show abstract

Virtualization of Event Sources in Wireless Sensor Networks for the Internet of Things

Cited by 10 publications

References 13 publications

Survey of Mission Planning and Management Architectures for Underwater Cooperative Robotics Operations

Survey of Mission Planning and Management Architectures for Underwater Cooperative Robotics Operations

Event Coverage Detection and Event Source Determination in Underwater Wireless Sensor Networks

Trust and Privacy Solutions Based on Holistic Service Requirements

Contact Info

Product

Resources

About