Sensor Selection and Data Fusion Approach for IoT Applications

Chakraborty, Ishita; Chakraborty, Anannya; Das, Prodipto

doi:10.1007/978-981-13-1280-9_2

Cited by 10 publications

(4 citation statements)

References 8 publications

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“…Concerning the energy consumed by the WS, it can be evaluated through its different activities; this activity depends on the WSN topology in which the WS is located. In most industrial applications, the used WSNs are star types [59,60], i.e., they consist of BS, also called a coordinator or sink, and a set of WSs that directly transmit the collected data to the sink. As an indication, the other main WSN topologies are the mesh topology [61] and the cluster topology [62].…”

Section: Pt Design Equationsmentioning

confidence: 99%

Cantilevered Piezoelectric Micro Generator Design Issues and Application to the Mining Locomotive

2019

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This paper will present a complete discussion in recent design strategies for harvesting vibration energy using piezoelectric cantilever transducers. The interest in this primary energy source is due to its presence in non-negligible quantities in most of the engines used in the industrial process. Previous work has shown that it is possible to harvest significant amounts of energy capable of supplying a wireless sensor (WS) node. However, in most research, only one step of the energy conversion and utilization chain is studied. Starting from the definition of the different design issues for a piezoelectric micro generator (PMG), the leading optimization solutions will be reviewed in this paper. Based on the findings, the quantification of the data transmission range of wireless sensor nodes powered by a PMG is proposed to support the objectives envisioned by Industry 4.0. The vibration characteristics taken from mining locomotives that have not yet been treated previously are used to illustrate the improvement of the various optimization solutions. Through our objectives, this work offers a comprehensive discussion on the use of vibrational energy by wireless sensors, bringing together the fields of mechanics, electrical, electronics, and wireless communications. The theoretical basis for each design stage is provided through the design equations. Based on actual measurements of ambient vibration, it is demonstrated, considering an optimal design of the PMG, that a WS could transmit data beyond 1 km for physical phenomena to be controlled every 7 min.Energies 2020, 13, 63 2 of 28The data collected by WS are transmitted wirelessly to BS. Given the advantages offered by the WS, namely flexibility, ease of deployment, low cost, they are now playing a vital role in the industry 4.0 [8]. More specifically, in the industrial environment, WSs are used in the automation system [9], operations control, system monitoring (humidity, temperature, fire alarm, dust index, toxic gas, and pollution) [9,10], and motion control [11]. In most of these industrial applications, WSs are placed in difficult-to-access locations (mining crushers for example) and maintenance operations for the replacement of batteries can be costly.This issue of energy autonomy of WSs has given rise in recent years to a new field of research known as energy harvesting (EH) [12]. Energy harvesting is the process of converting ambient energy into electrical energy; the most targeted application is the power supply of the WSs.EH technologies differ from one another depending on the nature of the used primary energy source. The main considered sources are the internal light, electromagnetic energy, vibration, and heat [13]. Among these primary sources, vibration abounds in the industrial applications due to the many engines used in most processes [14]. Concerning the specific case of the mining industry, crushers that operate 24 h a day, mining locomotives for the transport of personnel and minerals, trucks, are examples of sources of vibration.A lot of rese...

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Section: Pt Design Equationsmentioning

confidence: 99%

Cantilevered Piezoelectric Micro Generator Design Issues and Application to the Mining Locomotive

2019

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“…Selecting sensors is still a significant challenge in energy efficiency and data fusion because the efficacy of the latter is impacted by the quality of the opted sensors, their number and their reliability. To implement a powerful energy efficiency system, a vast number of sensors is required, which produces several information formats [259]. Moreover, some sensors can be regarded as less significant than others while some are notably unworthy.…”

Section: Discussionmentioning

confidence: 99%

Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations

Himeur,

Alsalemi,

Al-Kababji

et al. 2020

Preprint

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Recently, tremendous interest has been devoted to develop data fusion strategies for energy efficiency in buildings, where various kinds of information can be processed. However, applying the appropriate data fusion strategy to design an efficient energy efficiency system is not straightforward; it requires a priori knowledge of existing fusion strategies, their applications and their properties. To this regard, seeking to provide the energy research community with a better understanding of data fusion strategies in building energy saving systems, their principles, advantages, and potential applications, this paper proposes an extensive survey of existing data fusion mechanisms deployed to reduce excessive consumption and promote sustainability. We investigate their conceptualizations, advantages, challenges and drawbacks, as well as performing a taxonomy of existing data fusion strategies and other contributing factors. Following, a comprehensive comparison of the state-of-theart data fusion based energy efficiency frameworks is conducted using various parameters, including data fusion level, data fusion techniques, behavioral change influencer, behavioral change incentive, recorded data, platform architecture, IoT technology and application scenario. Moreover, a novel method for electrical appliance identification is proposed based on the fusion of 2D local texture descriptors, where 1D power signals are transformed into 2D space and treated as images. The empirical evaluation, conducted on three real datasets, shows promising performance, in which up to 99.68% accuracy and 99.52% F1 score have been attained. In addition, various open research challenges and future orientations to improve data fusion based energy efficiency ecosystems are explored.Keywords Data fusion • energy efficiency • sensors • appliance identification • fusion of 2D descriptors • machine learning.

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“…This process is continued till the destination is reached. The concept of finding a route using minimum angle and minimum distance together is discussed in Reference 62. They termed it minimum angle/minimum distance (MA/MD) and minimum distance/minimum angle (MD/MA).…”

Section: Methodsmentioning

confidence: 99%

An Intelligent Routing for Internet of Things Mesh Networks

Chakraborty

Das

Pradhan

2022

Trans Emerging Tel Tech

Self Cite

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Internet of Things (IoT) is gaining popularity due to its complex network architecture, formed by the tremendous connection of objects. Sensors used in different IoT applications are installed in unfavorable terrains and conditions. Since each sensor node can sense, compute, and promote wireless communication, a novel intelligent routing algorithm is required, as the traditional ones do not fulfill the current network requirements. Reinforcement learning models can help overcome the wireless network's challenges faced during routing due to its dynamicity by selecting and adapting weights that optimize the paths based on the requirement of the applications and operating conditions. In this article, a routing agent with Q‐learning is proposed that adjusts the routing policy of a network based on local information to converge toward an optimal solution by maintaining the overall balance between latency and the network's lifetime. A reward is given to an agent that increases the network lifetime and reduces the average network latency. The evaluation of the proposed model was done using network simulators (NS‐2) on different network scenarios that showed improved results in terms of network lifetime compared to centralized minimum angle and distributed minimum angle.

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Sensor Selection and Data Fusion Approach for IoT Applications

Cited by 10 publications

References 8 publications

Cantilevered Piezoelectric Micro Generator Design Issues and Application to the Mining Locomotive

Cantilevered Piezoelectric Micro Generator Design Issues and Application to the Mining Locomotive

Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations

An Intelligent Routing for Internet of Things Mesh Networks

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