ViTool-BC: Visualization Tool Based on Cooja Simulator for WSN

Molinares, Daladier Jabba; Acevedo, Pedro

doi:10.3390/app11167665

Cited by 9 publications

(8 citation statements)

References 49 publications

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“…As a future work, we intend to scale our tools to consider further network topologies (such as Linear, Ring, and Random). Further, we aim to embed applicable capabilities of our tools to interface directly with Cooja to allow easier and faster conduction of experiments by building on the architecture of ViTool [27], which is modular, scalable, and interfaced with Cooja stack.…”

Section: Discussionmentioning

confidence: 99%

“…It's important to note that this tool doesn't automatically place network nodes, and the results are presented at the node level rather than the network level. Besides, authors in [27] paper presented a software built on top of Cooja called ViTool-BC, which allows a real time visualization of the network construction and connection behavior. In addition, ViTool-BC offers a heat map of energy consumption traces and battery depletion.…”

Section: Approaches and Tools For Analyzing Wsns Performancementioning

confidence: 99%

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Impact of Flooding Attack on Wireless Sensor Networks: Framework and Toolkit

AlGhofaili,

Albinali,

Azzedin

2023

Preprint

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IoTs and WSNs utilize their connectivity to enable solutions supporting a spectrum of industries in different and volatile environments. To effectively enhance the security and quality of service of networks, empirical research should take into account a variety of factors and be structured in a replicable manner. This will not only ensure scalability but also enable verification of conclusions, leading to more constructive outcomes. Cooja offers limited performance analysis capabilities of simulations, which are often extracted and calculated manually. In this paper, we introduce a framework and a toolkit that enable researchers to conduct structured and conclusive experiments considering different factors and metrics, experiment design to results analysis. Besides, this tool summarizes multiple network metrics and allows multiple scenarios. As proof of concept, this paper studies the flooding attacks on IoT and illustrates their impact on the network, leveraging the proposed framework and tools.

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Section: Discussionmentioning

confidence: 99%

Section: Approaches and Tools For Analyzing Wsns Performancementioning

confidence: 99%

Impact of Flooding Attack on Wireless Sensor Networks: Framework and Toolkit

AlGhofaili,

Albinali,

Azzedin

2023

Preprint

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“…An extendable integrated framework of simulation and visualization for WSNs. The primary goal that guided the design and development of the NetTopo Simulator was to research several different algorithms used in WSNs [122].…”

Section: ) Nettopomentioning

confidence: 99%

Investigating and Analyzing Simulation Tools of Wireless Sensor Networks: A Comprehensive Survey

Adday,

Subramaniam,

Zukarnain

et al. 2024

IEEE Access

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Wireless Sensor Networks (WSNs) serve as the backbone for the Internet of Things (IoT) and smart cities, enabling the gathering of essential data and vital information. The widespread deployment of sensors created new scenarios that presented new domains for various applications. Due to their numerous advantages, WSN's simulators are still gaining considerable attention as the primary method for testing and evaluating new protocols and approaches for WSN. The scientific community has developed various simulators, some tailored explicitly for WSNs and others for general use. In addition, an old but renovated direction has been enormously grown recently, representing the researcher's attention to building its own simulator. However, many researchers struggle to select the most appropriate tool for performance analysis, which requires extensive research into available options. Choosing a suitable simulator to meet the necessary simulation criteria necessitates exhaustive research into the available options. The published studies on WSN's simulators have limitations, such as the limited number of simulators under examination, ignoring the essential functions of the simulators, and inadequate performance criteria for precise comparison. To get beyond these restrictions in previous studies and offer a fresh study that compares the simulation tools comprehensively, an analysis of thirty-three different simulators was conducted based on a new taxonomy. Furthermore, this study examines the advantages and constraints of each simulator regarding many specific academic areas in WSNs. Moreover, the study presented a detailed comparison among the performance analysis tools according to many famous performance metrics.

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“…It's a simulator for sensor networks. The Contiki OS is a portable operating system developed for devices with limited resources, such as sensor nodes [23], [24]. Thanks to this simulator, we can efficiently test a code written in C language without using real flash sensors.…”

Section: Simulation Platformmentioning

confidence: 99%

An experimental evaluation of localization methods used in wireless sensor networks

Laaouafy

Lakrami

Labouidya

et al. 2022

IJEECS

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<span class="fontstyle0">The problem of localization in wireless sensor networks has received considerable attention from researchers over the past decades. Several methods and algorithms have been proposed to solve this problem. The effectiveness of these algorithms depends on the accuracy of the estimated positions and the information required to calculate the coordinates. In this paper, we propose to evaluate four of the most commonly used localization methods in sensor networks. Our study considers a mathematical description of the studied methods in order to evaluate their complexity, and then a practical implementation on the simulation tool Cooja. We evaluate the performance of the studied methods as a function of the number of deployed sensor nodes and their degree of mobility in terms of several performance metrics. The objective is to reveal the most suitable localization method for a particular case of deployment. Improvement proposals are also provided to improve the most relevant localization method for the investigated study.</span> <br /><br />

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ViTool-BC: Visualization Tool Based on Cooja Simulator for WSN

Cited by 9 publications

References 49 publications

Impact of Flooding Attack on Wireless Sensor Networks: Framework and Toolkit

Impact of Flooding Attack on Wireless Sensor Networks: Framework and Toolkit

Investigating and Analyzing Simulation Tools of Wireless Sensor Networks: A Comprehensive Survey

An experimental evaluation of localization methods used in wireless sensor networks

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