Airborne Wireless Sensor Networks for Airplane Monitoring System

Gao, Shang; Dai, Xuewu; Yu, Hang; Guo, Yuandong; Ji, Qian

doi:10.1155/2018/6025825

Cited by 45 publications

(46 citation statements)

References 80 publications

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“…Moreover, in certain cases, sensors should be located in particular locations in order to more accurately gather data. This fact is important for industrial 3D sensor networks or sensors deployed in aircrafts [112,113]. Furthermore, the way and rate of acquiring data cannot be the same for different kinds of data, such as vibration, temperature, movement, and humidity [10,114,115].…”

Section: Challenges Of Big Data Collection In Ls-wsnsmentioning

confidence: 99%

Big Data Collection in Large-Scale Wireless Sensor Networks

Djedouboum

Ari

Guéroui

et al. 2018

Sensors

104

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Data collection is one of the main operations performed in Wireless Sensor Networks (WSNs). Even if several interesting approaches on data collection have been proposed during the last decade, it remains a research focus in full swing with a number of important challenges. Indeed, the continuous reduction in sensor size and cost, the variety of sensors available on the market, and the tremendous advances in wireless communication technology have potentially broadened the impact of WSNs. The range of application of WSNs now extends from health to the military field through home automation, environmental monitoring and tracking, as well as other areas of human activity. Moreover, the expansion of the Internet of Things (IoT) has resulted in an important amount of heterogeneous data that are produced at an exponential rate. Furthermore, these data are of interest to both industry and in research. This fact makes their collection and analysis imperative for many purposes. In view of the characteristics of these data, we believe that very large-scale and heterogeneous WSNs can be very useful for collecting and processing these Big Data. However, the scaling up of WSNs presents several challenges that are of interest in both network architecture to be proposed, and the design of data-routing protocols. This paper reviews the background and state of the art of Big Data collection in Large-Scale WSNs (LS-WSNs), compares and discusses on challenges of Big Data collection in LS-WSNs, and proposes possible directions for the future.

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Section: Challenges Of Big Data Collection In Ls-wsnsmentioning

confidence: 99%

Big Data Collection in Large-Scale Wireless Sensor Networks

Djedouboum

Ari

Guéroui

et al. 2018

Sensors

104

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“…These computers form a self-organizing network intended to eventually deliver the obtained measurement results to some consumer for further processing. Possible advantages of using such networks in the aerospace industry are shown in [2], and [4].…”

Section: Introductionmentioning

confidence: 99%

Choosing optimal node roles in a multi-gateway wireless ad hoc network

Makhorin

Terentiev

2021

YUGOSLAV J OPERATION

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This article considers a problem to choose parameters of a procedure for changing node roles in a multi-gateway wireless ad hoc network used in aerospace systems. Mathematical formulation of a mixed-integer programming (MIP) model to optimize the changing-node-role-procedure parameters is proposed, where the attention is focused on appropriate parameterization in order to make it possible to include additional constraints, if necessary. A practical two-stage technique used by the authors to solve the considered problem is briey discussed. On the first stage, the branch-and-bound algorithm, provided with cutting plane constraints of some classes, is applied to choose optimal roles of the network nodes. On the second stage, the network simulator developed by the authors is used to estimate main characteristics of the resulting network. Workability of the proposed approach is demonstrated by results of computational experiments.

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“…Volatile requirements and mutating operating scenarios have moved industries towards engineering approaches that rely on knowledge-based systems (KBS) [1]. To help engineers with removing ambiguity in requirements and monitoring operational parameters after deployment through prognostics and health management systems, wireless sensor networks can offer invaluable aid [2]. WSNs comprise a set of interacting devices, called nodes, which are often used to sense information from the environment and wirelessly transmit it back to a data collector.…”

Section: Introductionmentioning

confidence: 99%

“…Lastly, synchronisation is a fundamental aspect of health monitoring and disaster mitigation; a failure in one system or part of a system can often lead to cascading effects impacting many other systems. It is therefore imperative to establish a correct timeline for the gathered sensor data in order to establish a timeline that allows the engineer to recognise the root cause of a failure and mitigate its effects [2].…”

Section: Introductionmentioning

confidence: 99%

Redundancy and Synchronisation Management in Mission- and Time-Critical Wireless Sensor Networks

Scazzoli¹,

Magarini²,

Verticale³

2020

Harnessing Knowledge, Innovation and Competence in Engineering of Mission Critical Systems

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Wireless sensor networks (WSNs) are a technology that has been increasingly adopted thanks to their ability to inexpensively and safely gather information in difficult-to-access environments. Because of this they are an invaluable tool to gather knowledge about health, usage, and performance parameters of products in any environment as well as identify the onset of, and avoid or mitigate, catastrophic failures. This chapter will introduce the benefits that WSNs can bring to the process of knowledge management for the development and maintenance of products as well as discuss emerging research trends regarding two prominent concerns inherent to WSNs: redundancy management and synchronisation. After reviewing these results, their impact and applicability to mission-critical applications will be discussed, as well as the interaction between the solutions.

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Airborne Wireless Sensor Networks for Airplane Monitoring System

Cited by 45 publications

References 80 publications

Big Data Collection in Large-Scale Wireless Sensor Networks

Big Data Collection in Large-Scale Wireless Sensor Networks

Choosing optimal node roles in a multi-gateway wireless ad hoc network

Redundancy and Synchronisation Management in Mission- and Time-Critical Wireless Sensor Networks

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