Empirical Model Development for Message Delay and Drop in Wireless Sensor Networks

Serpen, Gürsel; Gao, Zhenning

doi:10.1016/j.procs.2014.09.005

Cited by 3 publications

(1 citation statement)

References 19 publications

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“…Clearly, if the PDF information is taken into account in the synthesis conditions, improved results can be obtained. Moreover, other types of time-varying parameters, where a PDF in general is available, can be found in important problems from control theory: in design techniques dealing with time-delay (BRIAT et al, 2008;ALABDULMOHSIN et al, 2014;SERPEN;BRUNO;MANUEL, 2017;KHEIRANDISH et al, 2017;SEURET;GOUAISBAUT, 2018), that occurs, for instance, when transmitting packets through digital networks; in NCS (HESPANHA et al, 2007) and sampled-data systems (NAGHSHTABRIZI et al, 2008), where the sampling period depends on the possibility of access of the communication channel, for instance, in wireless networks with high concurrency where the access channel is by TDMA based MAC protocol (ZAREEI et al, 2018;KABARA;CALLE, 2012;TEIMOURI;AHMADIYAN, 2018;HOLLINGER et al, 2011); in non-homogeneous MJLS (ABERKANE, 2011b;ABERKANE, 2011a), where the time-varying transition probabilities are associated to packet loss due to channel noise or distance between source and sink (PALMA et al, 2018d;ABERKANE, 2013). Note that, in all those examples, the time-varying parameters usually depend on a probability function.…”

Section: Approach To Handle Time-varying Parameters Based On the Solu...mentioning

confidence: 99%

Contributions to filter and control desing for LPV systems using LMIs

Matias Palma Olate

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Los agradecimientos son realizados en Español, mi lengua madre.Como preámbulo, agradezco en primer lugar a mi familia con énfasis en mis tías, Sara y Bernardita, apoyo constante durante mi vida. A mis hermanos, padres y abuela los cuales me ayudan en la crianza de mi hija. Agradezco a Vanessa compañera de vida y madre de mi hija, pilar fundamental en largas horas de trabajo, cuando las cosas no resultaban de todo bien.Referente al desarrollo del presente trabajo, en primer lugar; agradezco a mis orientadores de pre-grado Cristian Duran-Faundez y de mestrado Alim Pedro de Castro Gonçalves, peldaños fundamentales en mi formación profesional.Agradezco a Ricardo C. L. F. Oliveira por haberme aceptado como su primer alumno de doctorado y brindar consejos tanto de preparación de café, conversaciones de temas de actualidad y teoría de control. Agradezco a Cecília de Freitas Morais co-orientadora estricta, rigurosa e inclemente guía, permitiendo calidad en los trabajos realizados. Cecília es un ejemplo de seguir para mi hija y mis futuros orientados como investigadora y a nivel personal.Agradezco a Leonardo de Paula Carvalho amigo, compañero de mestrado y uno de los mas importantes co-investigadores en mis trabajos. Gracias por el tiempo dedicado en todos estos años, en corto "você e Solid Snake do controle". Igualmente, a todos mis compañeros de laboratorio, mestrado e doutorado, y mis coautores de los artículos publicados. Los cuales son muchos para enumerar en una plana, les agradezco a cada uno de ellos.Por último, a Ignacia mi hija, "motor inmóvil" de todo este trabajo.FIN.

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Section: Approach To Handle Time-varying Parameters Based On the Solu...mentioning

confidence: 99%

Contributions to filter and control desing for LPV systems using LMIs

Matias Palma Olate

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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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ℋ₂ gain-scheduled design subject to inexact measurements: performance comparison of two models for additive uncertainty

Palma

Morais

Oliveira

2019

2019 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON)

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Empirical Model Development for Message Delay and Drop in Wireless Sensor Networks

Cited by 3 publications

References 19 publications

Contributions to filter and control desing for LPV systems using LMIs

Contributions to filter and control desing for LPV systems using LMIs

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

ℋ₂ gain-scheduled design subject to inexact measurements: performance comparison of two models for additive uncertainty

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Empirical Model Development for Message Delay and Drop in Wireless Sensor Networks

Cited by 3 publications

References 19 publications

Contributions to filter and control desing for LPV systems using LMIs

Contributions to filter and control desing for LPV systems using LMIs

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

ℋ2 gain-scheduled design subject to inexact measurements: performance comparison of two models for additive uncertainty

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ℋ₂ gain-scheduled design subject to inexact measurements: performance comparison of two models for additive uncertainty