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检索条件"任意字段=5th IEEE International Conference on Distributed Computing in Sensor Systems"

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An Extensive Learning on the Reliability of Mobile Wireless sensor Networks 5

An Extensive Learning on the Reliability of Mobile Wireless ...

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5th international conference on Information systems and Computer Networks, ISCON 2021

作者： Sachan, Smriti Sharma, Rohit Sehgal, Amit SRM Institute of Science and Technology Department of Electronics Communication NCR Campus Ghaziabad India Sharda University School of Engineering and Technology Greater Noida India

ISBN: (纸本)9781665403412

the arise of mobility in the area of mobile wireless sensor networks (MWSNs) becomes a trending attribute in this high-tech environment. the mobile nature of nodes enhances the application area of Wireless sensor Networks (WSNs). A lot of variant challenges that affect the performance of the networks like dynamic topology, time delays, reliability, data loss etc. Mobility introduces new challenges to conventional static WSNs architecture. One of the major constraint which affects the MWSNs network performance is reliability and stability. It has lot many scope to work. this article presents a comprehensive theory of reliability which has been developed in recent years. Also the outlines of MWSNs features, characteristics and recent development has been discussed. the existing methods are analyzed, also their merits and demerits are presented with future scopes. © 2021 ieee.

关键词： sensor nodes

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distributed Training Decentralized Execution Framework of Multi-agent Learning for Cooperative Edge Caching

Distributed Training Decentralized Execution Framework of Mu...

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Frontiers Technology of Information and Computer (ICFTIC), ieee international conference on

作者： Wenyuan Tang Minghan Gao Qiang Gao Xiaohong Peng School of Electronic and Information Engineering Beihang University Beijing China School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing China Faculty of Computing Engineering and the Built Environment Birmingham City University Birmingham UK

the edge caching technology has a great potential to improve the performance of modern wireless networks. the transmission bottleneck at the cloud server will occur when the centralized training decentralized execution (CTDE) framework is applied to find an effective caching policy running on each base station (BS) in a multi-BS cooperative caching scenario. In this paper, we propose a cooperative edge caching method based on the distributed training decentralized execution (DTDE) framework to address this issue. We further propose two DTDE based caching models, namely Single Neighbor DTDE (SN-DTDE) and Local Information Only Executing SN-DTDE (LE-SN-DTDE), to deal with the transmission bottleneck problem at BSs in DTDE. Our simulation results indicate that the models proposed can effectively address the transmission bottleneck problem and they all outperform CTDE on average user access delay in networks with training information loss. Among these new caching models, LESN-DTDE has the best performance when the network experience heavy training information loss.

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Data Clustering and Routing using Improved Water Wave Optimization in Wireless sensor Network

Data Clustering and Routing using Improved Water Wave Optimi...

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Communication, computing and Industry 4.0 (C2I4), international conference on

作者： K. Sivakami S. Arunkumar Ms. P. Usharani J. Dhanasekar S. Kokilamani N. Revathi Department of ECE Nehru Institute of Engineering and Technology Coimbatore India Department of ECE J.J College Engineering and Technology Coimbatore India Department of ECE Sri Eshwar College of Engineering Coimbatore India Department of ECE Dr. Mahalingam College of Engineering and Technology Coimbatore India

ISBN: (数字)9798350379884

ISBN: (纸本)9798350379891

Wireless sensor Networks (WSNs) are pivotal in various applications where data collection from distributed sensors is essential. However, optimizing data collection efficiency while preserving energy resources remains a challenge. A data clustering model proposed in this paper implements the concept of Water Wave Optimization (WWO) methodology. the purpose of using Water Wave Optimization in this paper is to improve the accuracy of data grouping. We have suggested a grouping model using WWO, the recommended method aims to improve the accuracy of data clustering. We have demonstrated the validity of the proposed idea through the Friedman test and statistical analysis. Experiments revealed that the suggested grouping model works, as evidenced by its higher accuracy rate. In the past decade, routing in Wireless sensor Networks has emerged as the focus of most research. Implementing a routing model that can determine the most beneficial path depending on an assortment of performance parameters is an extensive task. then it has been demonstrated that after being compared to the currently employed clustering approach, the accuracy and F-score rates of the proposed WWO techniques improved by an average of 4% and 7%, respectively.

关键词： Training Wireless sensor networks Accuracy Metaheuristics Data collection Routing throughput Data models Water resources Convergence

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Adaptive Retransmission for Wireless sensor Nodes Under Bursty Error Conditions

Adaptive Retransmission for Wireless Sensor Nodes Under Burs...

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international conference on Smart sensors and Application (ICSSA)

作者： Sokipriala Jonah Seong Ki Yoo Saurav Sthapit Center for Computational Science and Mathematical Modelling Coventry University Coventry UK Center for Future Transport and Cities Coventry University Coventry UK

ISBN: (数字)9798350354294

ISBN: (纸本)9798350354300

Wireless sensor nodes, used in disaster management and industrial applications, typically require high reliability and low energy consumption. this reliability is often hindered due to bursty channel errors in practical wireless systems. the existing retransmission scheme used in ieee 802.15.4 fails to capture the characteristics of burst channels as they are designed under the assumption of uniform error channels. thus, they do not significantly improve the reliability under bursty channels while increasing the energy consumption with multiple retransmissions. Our proposed method utilises Reinforcement Learning (RL) to develop an adaptive retransmission strategy. this strategy is informed by analysing the transmission history of the sensor. the RL algorithm learns the optimal policy, which maximises energy efficiency and Packet Delivery Ratio (PDR) in networks with burst channel errors. Our RL retransmission strategy performed better in PDR and energy efficiency than the ieee 802.15.4 and Retransmission Adaptive Intelligence Medium Access Control (RAI-MAC) proposed in the literature. By adaptively modifying the retransmission strategy, we improved the energy efficiency and PDR by 16% and 10%, respectively, under a 10-15% packet error rate. the results highlight the importance of an adaptive retransmission strategy for resource-constrained wireless sensors.

关键词： Wireless communication ieee 802.15 Standard Wireless sensor networks Energy consumption Error analysis Reinforcement learning Energy efficiency Reliability History Intelligent sensors

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Enhancing Decay Detection with Smart Technology: Insight in Snail Farming

Enhancing Decay Detection with Smart Technology: Insight in ...

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ieee international conference on Emerging & Sustainable Technologies for Power & ICT in a Developing Society (NIGERCON)

作者： Adedotun O. Adetunla Imhade P. Okokpujie Omolayo M. Ikumapayi Ayomide Rowaiye Tien-Chen Jen Ayodeji Aturamu Dept. of Mechanical Engineering Science University of Johannesburg Johannesburg South Africa Dept. of Mechanical and Mechatronics Engineering Afe Babalola University Ado Ekiti Nigeria Dept. of Mechanical and Industrial Engineering Technology University of Johannesburg South Africa Dept. of Mechanical and Industrial Engineering Technology University of Johannesburg Johannesburg South Africa Dept. of Mechanical & Mechatronics Engineering Afe Babalola University Ado Nigeria Dept. of Physiology College of Allied and Medical Science Venite University Iloro Ekiti Nigeria

ISBN: (数字)9798331542559

ISBN: (纸本)9798331542566

Snail farming also known as heliciculture, is gaining traction for its economic and environmental advantages. Snails are a nutritious, sustainable food source and offer valuable products for cosmetics and pharmaceuticals. Particularly beneficial for developing countries, snail farming requires minimal infrastructure and can improve food security while mitigating environmental impacts. However, the death of a single snail can lead to significant losses, necessitating an effective system for detecting decay. this paper introduces a model designed to address this issue by utilizing sensors (MQ-3 and MQ-5) to detect Odors associated with decay, along with LED lights and a microcontroller for rapid detection. To enhance its functionality in regions with limited electricity, the system is powered by solar energy, showcasing the potential of renewable energy in advancing sustainable agriculture practices.

关键词： Methane Volatile organic compounds Resistors Resistance Sensitivity Solar energy sensor systems Safety Intelligent sensors Farming

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IoT Aroma sensor Module to Determine Beverage Alcohol Grade 11

IoT Aroma Sensor Module to Determine Beverage Alcohol Grade

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11th ieee international conference on Intelligent Data Acquisition and Advanced computing systems - Technology and Applications (IDAACS)

作者： Mendoza Montoya, Jorge Javier Torregrosa Penalva, German Avila Navarro, Ernesto Huanca Zea, Kevin Rivera Suana, Javier Alvaro Chilo, Jose Univ Tecnol Peru Dept Syst & Informat Arequipa Peru Miguel Hernandez Univ Dept Signal Theory & Commun Elche Spain Miguel Hernandez Univ Dept Mat Sci Opt & Mat Technol Elche Spain Andina Nestor Caceres Velasquez Univ Dept Elect & Telecom Juliaca Peru Univ Gavle Dept Elect Engn Math & Sci Gavle Sweden

ISBN: (纸本)9781665426053

Industry 4.0 is the technology of the future, which is based, among other things, on the Internet of things (IoT) and sensors that provide online information about the production processes. Electronic noses (E-noses) are gas sensor technologies expanding IoT, contributing to better alcohol production performance and providing important information about production process parameters. In this work, we have developed a low-cost, wireless, and compactness aroma sensor module applied to the alcohol industry. We use four metal oxide sensors, MQ-2, MQ-3, MQ-4, and MQ-135, embedded in the E-nose headspace and controlled by a 32-bit ESP32 WROOM microcontroller. the alcohol grade measurements were performed on beer and wine samples. MQ-3 sensor was stable till 20% alcohol grade, and MQ-2, MQ-4, and MQ-135 sensors were regular only until 5% alcohol. Our experiments let us determined alcohol grade with precision above 92%.

关键词： E-Nose IoT Alcohol grade Industry 4.0

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A distributed Photovoltaic Data Synchronous Collection and Recognition Method Based on Improved B-Spline Function

A Distributed Photovoltaic Data Synchronous Collection and R...

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Frontiers Technology of Information and Computer (ICFTIC), ieee international conference on

作者： Qi Han Yanbin Cai Zhishuai Ren Yan Wang Dan Zhang Wenxue Che Hanlin Wang Xinhui Cui State Grid Shandong Electric Power Company Dongying Power Supply Company Shandong China

the cost of photovoltaic power generation system equipment is high, and the damage or reduced lifespan of its main equipment such as solar cells and batteries will directly harm the interests of users. Due to the initial promotion and use of photovoltaic power generation systems, there are relatively few relevant testing and monitoring equipment in the market. therefore, it is of great significance to develop a dedicated data synchronization collection and identification system for photovoltaic power generation systems, providing comprehensive characteristic testing for scientific research and ensuring the safe operation of users. Due to the widespread application of distributed photovoltaic power plants in power enterprises, distributed photovoltaic power plants are prone to malfunctions during data collection, which affects the efficiency of data collection in distributed photovoltaic power plants. therefore, in response to the problems in data collection of distributed photovoltaic power plants, this article proposes a distributed photovoltaic power generation data collection method based on time series and uses an improved B-spline function to reduce transmission energy and information transmission congestion probability. this method first removes abnormal data in distributed photovoltaic power plants, and after removing it, missing data is found. After repairing it, a collection model is constructed using a BP neural network (BPNN) to complete the collection of power generation data. the experimental results show that the method proposed in this article has significant help in effectively collecting power generation data, and it will occupy a place in future power generation data collection methods.

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Detection and Localization of Transmission Line Faults based on a Hybrid Two-Stage Technique considering Wind Power Generation 21

Detection and Localization of Transmission Line Faults based...

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21st ieee international conference on Environment and Electrical Engineering / 5th ieee Industrial and Commercial Power systems Europe (EEEIC/I and CPS Europe)

作者： Afrasiabi, Shahabodin Afrasiabi, Mousa Behdani, Behzad Mohammadi, Mohammad Javadi, Mohammad S. Osorio, Gerardo J. Catalao, Joao P. S. Shiraz Univ Shiraz Iran INESC TEC Porto Portugal REMIT UPT Covilha Portugal C MAST UBI Covilha Portugal

ISBN: (纸本)9781665436137

the conflicting issues of growing demand for electrical energy versus the environmental concerns have left the energy industries practically with one choice: to turn into renewable energies. this duality has also highlighted the role of power transmission systems as energy delivery links in two ways, considering the increased demand of load centers, and the integration of large-scale renewable generation units connected to the transmission system such as wind power generation. Accordingly, it has become even more vital to provide reliable protection for the power transmission links. the present protection methods are associated with deficiencies e.g., acting based on a predefined threshold, low speed, and the requirement of costly devices. A two-stage data-driven-based methodology has been introduced in this paper to deal with such defects, considering wind power generation. the proposed approach utilizes a powerful feature extraction technique, namely the t-distributed stochastic neighbor embedding (t-SNE) in the first stage. In the second stage, the extracted features are fed to a robust soft learning vector quantization (RSLVQ) classifier to detect and locate transmission line faults. the WSCC 9-bus system is used to evaluate the performance of the proposed data-driven method during various system operating conditions. the obtained results verify the promising capability of the proposed approach in detecting and locating transmission line faults.

关键词： Fault Detection and Location Robust Soft Learning Vector Quantization (RSLVQ) t-distributed Stochastic Neighbor Embedding (t-SNE) Transmission System

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Cost Efficient Node Placement in Wide Area Monitoring through Wireless sensor Network to Reduce Data Transmission Energy 5

Cost Efficient Node Placement in Wide Area Monitoring throug...

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5th international conference on Electronics, Materials Engineering and Nano-Technology, IEMENTech 2021

作者： Ghosh, Arnab Chakraborty, Niladri Department of Electrical Engineering Kolkata India Jadavpur University Department of Power Engineering Kolkata India

ISBN: (纸本)9781665418034

Application of Wireless sensor Networks (WSN) in monitoring applications has gained importance nowadays due to their low cost and reliable communication features. Excess energy consumption and signal attenuation in wide area monitoring are two maj or issues that occurs during data transmission. In this work, a model area of dimension 100x100m2has been considered where the sensor nodes are distributed throughout for wide area data monitoring. Two design schemes based on peer to peer topology and mesh topology respectively have been considered to study the energy and signal related performance and cost benefits related to real time continuous wide area monitoring. In the first design scheme, the sensors uses high power module based long distance data transmission and communicates directly to the base station. In the second scheme, intermediate nodes are placed and low power modules are used to transmit data in multi-hop multi-path fashion. the results indicate that for wide area monitoring, subj ected to power decay due to presence of thick walls and metallic structure, the second scheme reduces the data transmission energy and reaps economic benefits when used over a long period of time. © 2021 ieee.

关键词： Data transfer

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Design and Implementation of Water Quality Tracking System using Wireless sensor Network

Design and Implementation of Water Quality Tracking System u...

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ieee international conference on Emerging & Sustainable Technologies for Power & ICT in a Developing Society (NIGERCON)

作者： Obinna Nwokeke Stephen Ojo John Odo Godwin Igbinosa Opeyemi Ajibola Nosa Imarhiagbe Gerard Obiora Department of Electrical Electronics and Telecommunication Engineering Bells University of Technology Ota Ogun State Nigeria Department of Electrical Electronics and Telecommunication Engineering College of Engineering Bells University of Technology Ota Ogun State Nigeria

ISBN: (数字)9798331542559

ISBN: (纸本)9798331542566

Water is essential for life as it is a major life sustaining liquid all living things need. Humans and other living creatures must ingest water for survival. Sources of drinking water in Nigeria include rivers and streams, lakes, springs, rainwater, groundwater from boreholes, tap water from authorities where water utility companies are still functional. the source of drinking water is very important as water meant for drinking may contain elements that could be dangerous to human health. Despite NAFDAC efforts to control adulterated products and control quality standards, the continuous confiscation of different products of which drinking water products is also included is a clear message that a lot still have to be done to monitor and track the water quality of water company products. this research work hopes to bridge these gaps of providing regular information of water quality details of any water company by designing a water quality tracking system with wireless sensor network (WSN) capability for remote tracking water production system from water related products so that these data cannot be tempered with. the hardware design involves the design of the sensor nodes, processor, communication and WSN architecture. the program for the sensor node processor stage and base station receiver processor was written in Arduino program. the sensor outputs were connected to the Arduino microcontroller to convert their analog output to digital information. the Arduino was connected to the LoRa transceiver module. After connection of all stages the system was powered and relevant tests were performed. Results indicate that 80% of the average borehole water sample pH levels meet the international standard. the average TDS levels for both the borehole water (135.75ppm) and the sachet water (142.67ppm) pass (100%) the WHO maximum of 500ppm. Recommendations were made for future work.

关键词： Wireless sensor networks Base stations Transmitters systems operation Water quality Companies Transceivers Water resources Standards Monitoring

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