Photovoltaics in the assessment of wireless sensor network reliability with changing environmental conditions

Kassan, Rabih; Châtelet, Éric

doi:10.1002/qre.2187

Cited by 7 publications

(3 citation statements)

References 36 publications

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“…simulate and analyze the connectivity reliability and survivability of vehicular ad hoc networks on the premise that the failure time of components obeys the exponential distribution. Besides, the nodes in the network are often sensors with limited energy 18,19 . Therefore, even if there is no random failure, they will be unable to continue to work because of energy exhaustion after a long time of work.…”

Section: Introductionmentioning

confidence: 99%

“…Besides, the nodes in the network are often sensors with limited energy. 18,19 Therefore, even if there is no random failure, they will be unable to continue to work because of energy exhaustion after a long time of work. Mahboubi et al 20 point out that the main sources of energy consumption in a mobile sensor network are sensing, communication, and movement.…”

Section: Introductionmentioning

confidence: 99%

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Transmission reliability evaluation of the wireless mobile ad hoc network considering the routing protocol and randomness of channel capacity

Wang,

He,

Xiang

et al. 2023

Quality & Reliability Eng

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Due to the characteristics of self‐organization, flexibility, and low cost, Mobile ad hoc networks (MANETs) have been applied in many fields, such as disaster rescues and military actions. However, in reality, the successful route establishment based on routing protocols is the prerequisite of data transmission. Besides, the transmission reliability of MANETs is affected by resource constraints, such as channel capacity and energy, and environmental factors. Hence, how accurately modeling and evaluating the transmission reliability of MANETs is very important to ensure their application. Whereas, existing studies ignore the impact of routing protocols and do not fully consider the influence of some factors on transmission reliability, such as environmental randomness, channel capacity, and energy consumption. To solve the above problems, we first propose a signal‐to‐noise‐ratio‐Capacity connection model to better describe the characteristics of wireless links, and the probability of one hop connection is deduced considering the capacity demand randomness. Then, considering the influence of routing protocol on the MANET link establishment, we take the ad hoc on‐demand distance vector routing protocol as an example, and propose an evaluation algorithm of the MANET transmission reliability based on algebraic graph theory and Monte Carlo simulation. Finally, the effectiveness of the proposed method is demonstrated by a numerical example of an unmanned aerial vehicle search and rescue scene.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Transmission reliability evaluation of the wireless mobile ad hoc network considering the routing protocol and randomness of channel capacity

Wang,

He,

Xiang

et al. 2023

Quality & Reliability Eng

View full text Add to dashboard Cite

show abstract

“…WSN is an unreliable network. Many factors can cause WSN faults, which can be described as follows [4]:…”

Section: Introductionmentioning

confidence: 99%

Fault Prediction Method for Wireless Sensor Network Based on Evidential Reasoning and Belief-Rule-Base

Chen

Zhou

et al. 2019

IEEE Access

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Wireless sensor network (WSN) is a distributed intelligent network, which can independently achieve the information collection task of monitoring targets. However, the WSN is susceptible to faults due to various factors, such as sensor resources, network bandwidth, and work environment. The WSN fault prediction technology can estimate the fault trend of the WSN, which can provide the basis for the formulation and implementation of emergency strategies. In this paper, a new WSN fault prediction method is proposed based on evidential reasoning (ER) and belief rule base (BRB). First, the process of the WSN fault prediction is described, which mainly includes the fault assessment of the current WSN and the fault prediction of future WSN. Second, the WSN fault prediction model is constructed, including the ER-based fault assessment model and BRB-based fault prediction model. The projection covariance matrix adaptation evolutionary strategies (P-CMA-ESs) are used to optimize model parameters. Finally, a case study is constructed to verify the validity of the WSN fault prediction model. The experimental results show that the model can adequately estimate the fault state of the current WSN and then predict the fault status of future WSN. INDEX TERMS Fault prediction, belief rule base (BRB), fault assessment, evidential reasoning (ER) wireless sensor network (WSN).

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Reliability assessment of photovoltaic wireless sensor networks for forest fire propagation detection

Kassan

Châtelet

Soukieh

2017

International Journal of Modelling and Simulation

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Photovoltaics in the assessment of wireless sensor network reliability with changing environmental conditions

Cited by 7 publications

References 36 publications

Transmission reliability evaluation of the wireless mobile ad hoc network considering the routing protocol and randomness of channel capacity

Transmission reliability evaluation of the wireless mobile ad hoc network considering the routing protocol and randomness of channel capacity

Fault Prediction Method for Wireless Sensor Network Based on Evidential Reasoning and Belief-Rule-Base

Reliability assessment of photovoltaic wireless sensor networks for forest fire propagation detection

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