Integrated Evaluation of Reliability and Power Consumption of Wireless Sensor Networks

Dâmaso, Antônio; Rosa, Nelson Souto; Maciel, Paulo

doi:10.3390/s17112547

Cited by 19 publications

(10 citation statements)

References 36 publications

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“…The main aspects deal with: Limited resources [16], unreliable communication [16,17], unattended operation [16], data integrity and confidentiality [18,19], authentication [19], time synchronization [19], secure localization [19], traffic analysis attacks [20], and countermeasures to attacks [21], like cryptography and key establishment [22,23]. Due to the resource, space, and cost constraints placed on the sensor nodes in a WSN [24], many of the traditional security solutions are not suitable. The large number of threats makes it very difficult to build security solutions for WSNs.Application requirements.…”

Section: Related Workmentioning

confidence: 99%

Design of Wireless Sensors for IoT with Energy Storage and Communication Channel Heterogeneity

Borza

Machedon-Pisu

Hamza-Lup

2019

Sensors

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Autonomous Wireless Sensors (AWSs) are at the core of every Wireless Sensor Network (WSN). Current AWS technology allows the development of many IoT-based applications, ranging from military to bioengineering and from industry to education. The energy optimization of AWSs depends mainly on: Structural, functional, and application specifications. The holistic design methodology addresses all the factors mentioned above. In this sense, we propose an original solution based on a novel architecture that duplicates the transceivers and also the power source using a hybrid storage system. By identifying the consumption needs of the transceivers, an appropriate methodology for sizing and controlling the power flow for the power source is proposed. The paper emphasizes the fusion between information, communication, and energy consumption of the AWS in terms of spectrum information through a set of transceiver testing scenarios, identifying the main factors that influence the sensor node design and their inter-dependencies. Optimization of the system considers all these factors obtaining an energy efficient AWS, paving the way towards autonomous sensors by adding an energy harvesting element to them.

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Section: Related Workmentioning

confidence: 99%

Design of Wireless Sensors for IoT with Energy Storage and Communication Channel Heterogeneity

Borza

Machedon-Pisu

Hamza-Lup

2019

Sensors

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“…Since analytical modeling is a time-consuming task, demanding much effort for complex topologies, some authors propose automated model generation approaches [ 6 , 8 , 12 , 40 , 41 ]. Cinque et al.…”

Section: Related Workmentioning

confidence: 99%

“…A tool is also proposed to automate the evaluation of WSNs reliability. This work has been extended in [ 41 ], in order to support analyses with the power consumption of WSN applications and communication protocols.…”

Section: Related Workmentioning

confidence: 99%

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Automated Methodology for Dependability Evaluation of Wireless Visual Sensor Networks

Jesus

Portugal

Vasques

et al. 2018

Sensors

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Wireless sensor networks have been considered as an effective solution to a wide range of applications due to their prominent characteristics concerning information retrieving and distributed processing. When visual information can be also retrieved by sensor nodes, applications acquire a more comprehensive perception of monitored environments, fostering the creation of wireless visual sensor networks. As such networks are being more often considered for critical monitoring and control applications, usually related to catastrophic situation prevention, security enhancement and crises management, fault tolerance becomes a major expected service for visual sensor networks. A way to address this issue is to evaluate the system dependability through quantitative attributes (e.g., reliability and availability), which require a proper modeling strategy to describe the system behavior. That way, in this paper, we propose a methodology to model and evaluate the dependability of wireless visual sensor networks using Fault Tree Analysis and Markov Chains. The proposed modeling strategy considers hardware, battery, link and coverage failures, besides considering routing protocols on the network communication behavior. The methodology is automated by a framework developed and integrated with the SHARPE (Symbolic Hierarchical Automated Reliability and Performance Evaluator) tool. The achieved results show that this methodology is useful to compare different network implementations and the corresponding dependability, enabling the uncovering of potentially weak points in the network behavior.

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“…The author with the ref. [4] energy consumption is one of the main interests of WSNs, and many strategies have been proposed to evaluate it. However, these approaches often do not consider reliability issues and the power consumption of applications running on the network.…”

Section: Introductionmentioning

confidence: 99%

Untitled

2022

J GRAPH-HOC

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In Smart Home (SH) the devices and appliances can be controlled automatically and remotely via the internet. Sensors in a smart home detect changes, which are processed and used to make intelligent decisions, such as automatically turning on the lights. To be effective, a smart home's sensors must be connected, establishing a wireless sensor network as the backbone for the smart home's functionalities. For many researchers, the performance of WSN faces several challenges. Power consumption is the most crucial factor since nodes require power to collect, process, and send data but have limited energy. As a result we propose an improved protocol for WSN in smart homes called EEP-LEACH (Energy Efficient Protocol -Low Energy Adaptive Clustering Hierarchy) based on the LEACH protocol. Matlab was used for the algorithm's performance analysis, and the simulation result showed that, compared to others protocols the death time of the nodes was longer, thus managing to balance the consumption of energy of the network nodes. Python and Arduino are used in this research to perform some simulations.

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Integrated Evaluation of Reliability and Power Consumption of Wireless Sensor Networks

Cited by 19 publications

References 36 publications

Design of Wireless Sensors for IoT with Energy Storage and Communication Channel Heterogeneity

Design of Wireless Sensors for IoT with Energy Storage and Communication Channel Heterogeneity

Automated Methodology for Dependability Evaluation of Wireless Visual Sensor Networks

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