231 research outputs found
Methodology to Evaluate WSN Simulators: Focusing on Energy Consumption Awareness
ISBN: 978-1-925953-09-1International audienceNowadays, there exists a large number of available network simulators, that differ in their design, goals, and characteristics. Users who have to decide which simulator is the most appropriate for their particular requirements, are today lost, faced with a panoply of disparate and diverse simulators. Hence, it is obvious the need for establishing guidelines that support users in the tasks of selecting and customizing a simulator to suit their preferences and needs. In previous works, we proposed a generic and novel methodological approach to evaluate network simulators, considering a set of qualitative and quantitative criteria. However, it lacks criteria related to Wireless Sensor Networks (WSN). Thus, the aim of this work is three fold: (i) extend the previous proposed methodology to include the evaluation of WSN simulators, such as energy consumption modelling and scalability; (ii) elaborate a study of the state of the art of WSN simulators, with the intention of identifying the most used and cited in scientific articles; and (iii) demonstrate the suitability of our novel methodology by evaluating and comparing three of the most cited simulators. Our novel methodology provides researchers with an evaluation tool that can be used to describe and compare WSN simulators in order to select the most appropriate one for a given scenario
WSN simulators evaluation: an approach focusing on energy awareness
The large number of Wireless Sensor Networks (WSN) simulators available
nowadays, differ in their design, goals, and characteristics. Users who have to
decide which simulator is the most appropriate for their particular
requirements, are today lost, faced with a panoply of disparate and diverse
simulators. Hence, it is obvious the need for establishing guidelines that
support users in the tasks of selecting a simulator to suit their preferences
and needs. In previous works, we proposed a generic and novel approach to
evaluate networks simulators, considering a methodological process and a set of
qualitative and quantitative criteria. In particularly, for WSN simulators, the
criteria include relevant aspects for this kind of networks, such as energy
consumption modelling and scalability capacity. The aims of this work are: (i)
describe deeply the criteria related to WSN aspects; (ii) extend and update the
state of the art of WSN simulators elaborated in our previous works to identify
the most used and cited in scientific articles; and (iii) demonstrate the
suitability of our novel methodological approach by evaluating and comparing
the three most cited simulators, specially in terms of energy modelling and
scalability capacities. Results show that our proposed approach provides
researchers with an evaluation tool that can be used to describe and compare
WSN simulators in order to select the most appropriate one for a given scenarioComment: 20 Page
IoT-Fog-Edge-Cloud Computing Simulation Tools, A Systematic Review
The Internet of Things (IoT) perspective promises substantial advancements in sectors such as smart homes and infrastructure, smart health, smart environmental conditions, smart cities, energy, transportation and mobility, manufacturing and retail, farming, and so on. Cloud computing (CC) offers appealing computational and storage options; nevertheless, cloud-based explanations are frequently conveyed by downsides and constraints, such as energy consumption, latency, privacy, and bandwidth. To address the shortcomings related to CC, the advancements like Fog Computing (FC) and Edge Computing (EC) are introduced later on. FC is a novel and developing technology that connects the cloud to the network edges, allowing for decentrali zed computation. EC, in which processing and storage are performed nearer to where data is created, may be able to assist address these issues by satisfying particular needs such as low latency or lower energy use. This study provides a comprehensive overview and analysis of IoT-Fog-Edge-Cloud Computing simulation tools to assist researchers and developers in selecting the appropriate device for research studies while working through various scenarios and addressing current reality challenges. This study also takes a close look at various modeling tools, which are examined and contrasted to improve the future
The CASPER user-centric approach for advanced service provisioning in mobile networks
Abstract This paper presents an overview of the project CASPER, 1 a 4-year Marie Curie Research and Innovation Staff Exchange (RISE) project running between 2016 and 2020, describing its objectives, approach, architecture, tools and key achievements. CASPER combines academic and industrial forces towards leveraging the expected benefits of Quality of Experience (QoE) exploitation in future networks. In order to achieve that, a QoE orchestrator has been proposed which implements the basic functionalities of QoE monitoring, estimation and management. With means of simulation and testbed emulation, CASPER has managed to develop a proprietary SDN Controller, which implements QoE-based traffic rerouting for the challenging scenario of HTTP adaptive video streaming, leading to more stable and higher QoE scores compared to a state-of-the-art SDN Controller implementation
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