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Dynamic Uploading Scheduling in mmWave-Based sensor Networks via Mobile Blocker Detection 29

Dynamic Uploading Scheduling in mmWave-Based Sensor Networks...

引用

29th IEEE international conference on Parallel and Distributed Systems, ICPADS 2023

作者： Sun, Yifei Lv, Bojie Wang, Rui Tan, Haisheng Lau, Francis C. M. Southern University of Science and Technology Shenzhen China The University of Hong Kong Hong Kong University of Science and Technology of China Hefei China

ISBN: (纸本)9798350330717

The freshness of information, measured as Age of Information (AoI), is critical for many applications in next-generation wireless sensor networks (WSNs). Due to its high bandwidth, millimeter wave (mmWave) communication is seen to be frequently exploited in WSNs to facilitate the deployment of bandwidth-demanding applications. However, the vulnerability of mmWave to user mobility typically results in link blockage and thus postponed real-time communications. In this paper, joint sampling and uploading scheduling in an AoI-oriented WSN working in mmWave band is considered, where a single human blocker is moving randomly and signal propagation paths may be blocked. The locations of signal reflectors and the real-time position of the blocker can be detected via wireless sensing technologies. With the knowledge of blocker motion pattern, the statistics of future wireless channels can be predicted. As a result, the AoI degradation arising from link blockage can be forecast and mitigated. Specifically, we formulate the long-term sampling, uplink transmission time and power allocation as an infinite-horizon Markov decision process (MDP) with discounted cost. Due to the curse of dimensionality, the optimal solution is infeasible. A novel low-complexity solution framework with guaranteed performance in the worst case is proposed where the forecast of link blockage is exploited in a value function approximation. Simulations show that compared with several heuristic benchmarks, our proposed policy, benefiting from the awareness of link blockage, can reduce average cost up to 49.6%. © 2023 IEEE.

关键词： age of information Markov decision process millimeter wave wireless sensor networks

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Smart Agriculture System 4th

Smart Agriculture System

引用

4th international conference on Computer Vision, High-Performance Computing, Smart Devices, and Networks, CHSN 2023

作者： Kanaujia, Vishal Kumar Sah, Chitranjan Prasad Computer Science and Engineering-Data Science Department ABES Engineering College Uttar Pradesh Ghaziabad India School of Engineering and Technology Noida International University Uttar Pradesh Greater Noida India

ISBN: (纸本)9789819777938

Agriculture stands as a linchpin for national prosperity, especially in regions blessed with abundant water and fertile soil, capable of yielding a diverse range of food products crucial for human sustenance. However, escalating global population and diminishing freshwater reserves pose significant challenges to sustainable agriculture. Approximately, 96% of Earth's water is saline, leaving a mere 3% as freshwater resources, intensifying the need for advanced techniques to conserve water in farming practices. This research addresses the pressing issue by proposing a solution rooted in smart agriculture, leveraging modern technologies like the Internet of Things (IoT) to revolutionize conventional farming methods. The integration of automation and IoT technologies, such as the ESP8266 IoT automatic irrigation system, is presented as a means to enhance crop productivity. This system utilizes cutting-edge technologies like Arduino and wireless sensor networks, offering a comprehensive solution for monitoring environmental conditions crucial for maximizing crop yield. The paper underscores the paramount importance of connecting agriculture to the Internet, emphasizing the role of IoT in facilitating applications like crop monitoring and automated irrigation decisions. The proposed smart agriculture system, featuring energy autonomy and cost-effectiveness, aims to address persistent agricultural challenges that impede national development. The research introduces a novel approach to agriculture, offering a tangible pathway toward sustainable farming practices in the face of water scarcity and environmental uncertainties. Through the integration of sensors and live data feeds, accessible via mobile devices, this system represents a promising step toward a technologically advanced and efficient agricultural landscape, especially beneficial for water-scarce and geographically isolated regions. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 20

关键词： Smart agriculture

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A Comparative Understanding in Applying Various Artificial Neural Networks in Creating Wireless sensor Networks for Better Tracking and Movement of Packages in the Logistics Industry 2

A Comparative Understanding in Applying Various Artificial N...

引用

2nd international conference on Advance Computing and Innovative technologies in Engineering, ICACITE 2022

作者： Kumar, Ravi Lalar, Sachin Mishra, Ashutosh Singh, Rajesh Manjula, M. Tiwari, Mohit Jaypee University of Engineering and Technology Department of Electronics and Communication Engineering Madhya Pradesh Guna India Kurukshetra University Department of Computer Science and Applications Kurukshetra India Shankara Institute of Technology Department of Electronics and Communication Engineering Jaipur India Uttaranchal University India Bengaluru Central University Department of Computer Science India Bharati Vidyapeeth's College of Engineering Department of Computer Science and Engineering Delhi India

ISBN: (纸本)9781665437899

Due to the obvious multiple advantages that their use provides, 'wireless sensor networks' have regarded one of the most quickly expanding technology sectors. As a result, WSN now have an 'ever-expanding spectrum' of applicability from their inception to the current day. The system ensures that workplace safety is maintained, and the 'measurement and monitoring system' ensures that industrial monitoring tasks are carried out efficiently. The usage of WSN sensors in commercial processes necessitates the fulfilment of a set of strict requirements. For example, 'monitoring and controlling' a certain process necessitates the creation of network device topologies, procedures, and algorithms that ensure the system's dependability as well as communication. This article presents answers to challenges in the logistics system relying on an in-depth analysis of sensor nodes and 'Artificial Neural Network or ANN' technologies. The logistical procedure of the complete warehousing division is widened as a result, and a reliable monitoring architecture is built to fulfil the performance management of warehousing logistic' business model. © 2022 IEEE.

关键词： Monitoring

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Double-Edged Agriculture 4.0: Hodiernal Expedient technologies and Cyber-Security Challenges 6

Double-Edged Agriculture 4.0: Hodiernal Expedient Technologi...

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6th international conference on Contemporary Computing and Informatics, IC3I 2023

作者： Arya, Swati Tripathi, Shubham Srivastava, Archana Aggarwal, Shruti Soni, Nupur Ansar, Syed Anas School of Computer Application Babu Banarasi das University Lucknow India Thapar Institute of Engineering and Technology Punjab India

ISBN: (纸本)9798350304480

Digitalization and intelligent systems have engulfed all dimensions and vicinity of existence. The intense fusion of hodiernal information technology and archaic agriculture has ushered in the epoch of agriculture 4.0, invariably reputed as smart agriculture. Variegated operational or forthcoming technologies reckon in agriculture 4.0, e.g., algae feedstock, automation, hydroponics, nanotechnology, genome editing, cognitive computing, blockchain, and machine learning, may have far-reaching implications for future agriculture and food systems and radical rudimentary potential. Although the profusion benefits of this Fourth Revolution abound, many unresolved issues and stumbling blocks must be conquered to make this paradigm shift feasible. Future solutions will coerce data availability and accuracy as vital factors to assist farmers, also security will become indispensable for constructing vigorous and efficacious systems. Security deals with difficulties like compatibility, scarce funds, and gargantuan data as smart agriculture incorporate a huge gamut and volume of resources. In this frame of reference, the authors opine that the inclusion and exclusion impact of Agriculture 4.0 technologies require ancillary scrutiny. This paper articulates the core technologies of agriculture 4.0 with an explicit focus on its applications in veritable contexts whilst delving into security issues (chiefly cyber-security). This research is envisaged to have a pragmatic influence on agriculture 4.0, emphasizing paradigms and security measures to aid farm stakeholders to navigate the firm's transition to digitization. © 2023 IEEE.

关键词： Agriculture 4.0 Cloud Computing Cyber Security Data Analytics Internet of Things sensor

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indexPDT: A High Scalable Distributed Classification Approach with Novel Cache Structure for Geo-location 25

indexPDT: A High Scalable Distributed Classification Approac...

引用

25th IEEE international conferences on High Performance Computing and Communications, 9th international conference on Data Science and Systems, 21st IEEE international conference on Smart City and 9th IEEE international conference on Dependability in sensor, Cloud and Big Data Systems and applications, HPCC/DSS/SmartCity/DependSys 2023

作者： Sun, Zhijie Li, Jing Xie, Jun Zheng, Binfan Zeng, Li Zhao, Rongqian Huawei Technologies Co. Ltd. Shenzhen China

ISBN: (纸本)9798350330014

Geo-location, also known as measurement report (MR) location, is a technique to determine the geographic location of user equipment (UE) and the behaviour attribute of telephone traffic based on wireless signals measured by the mobile communication network. The geographic location information can help to support network performance monitoring and evaluation. Considering accuracy and cost, we mainly adopt a hybrid location scheme combined with feature matching location and Weighted Centroid Correction Location (WCCL). As for feature matching location, over 20 billion samples gathered from tens of thousands of cells daily updated. Due to the vast data scale, feature analysis encounters a severe performance bottleneck. To address this problem, we design the indexed parallel decision tree (indexPDT) operator and integrate it into WindTensor, a self-innovated distributed machine learning (ML) engine. indexPDT is a classifier unit of the random forest (RF) algorithm with a novel cache structure. It performs structured cache processing on the dataset's meta-information, which can accompany the splitting of nodes. The cache structure can be quickly converted into statistical information to help find the optimal splitting point, effectively reducing memory usage and improving performance. Under the public datasets testing on 5 nodes, the mean speedup ratios are 86x and 3x compared with SparkML and XGBoost, respectively. In the Geo-location scenario, for a single cell, the speedup ratios are 82x and 4x compared with SparkML and XG Boost, respectively. © 2023 IEEE.

关键词： Location

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An Algorithmic Framework for Sinkhole Attack Detection and Mitigation in Wireless sensor Networks 2

An Algorithmic Framework for Sinkhole Attack Detection and M...

引用

2nd international conference on Advance Computing and Innovative technologies in Engineering, ICACITE 2022

作者： Mehta, Aina Sandhu, Jasminder Kaur Chitkara University Institute of Engineering and Technology Chitkara University Punjab India

ISBN: (纸本)9781665437899

These sensor networks have become more pervasive nowadays, as they surround us also in the everyday daily environment;due to which security and privacy become a major concern. Moreover, these sensor nodes are distributed in remote areas of the network due to which they get suspectable to security threats leading to exploitation of functioning of the network. The main objective is to ensure robust applications in the presence of attackers. These malicious attackers try to intrude in the network so that they can access sensitive data or spread false information through the network. Therefore, it becomes mandatory to detect these attacks effectively on all layers of the network model, but mainly the attack on the network layer i.e., sinkhole. In this paper, we focus on one such attack called sink hole attack in which malicious node assumes its shortest path to sink. This paper proposes a new technique SDSN (Severity Detection of Sinkhole Attack) for detection and RHSN (Removal of Highest Severity Node) for mitigating the node. Proposed technique is implemented in NS2 and extensive simulations are performed to obtain the results. Results indicate the superiority of the proposed approach over existing approaches in terms of (packet loss, energy consumption, delay and throughput). © 2022 IEEE.

关键词： Network layers

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Heterogeneous Energy-Efficient Clustering Protocol for Wireless sensor Networks

Heterogeneous Energy-Efficient Clustering Protocol for Wirel...

引用

international conference on VLSI and Microwave and Wireless technologies, ICVMWT 2021

作者： Chaurasiya, Sandip K. Biswas, Arindam Bandyopadhyay, P.K. Energy Acres Building Uttarakhand Dehradun248007 India School of Mines Kazi Nazrul University West Bengal Asansol India Department of Electronics and Communication Engineering DIET Murshidabad West Bengal Baharampur India

ISBN: (纸本)9789811903113

With the wide variety of applications involving different types of sensor nodes, heterogeneous wireless sensor Network (HWSN) has attained a lot of popularity. However, alike wireless sensor network (WSN), performance of the nodes in HWSN also succumbs due to scarcity of power. And hence, the researchers are consistently aiming to achieve energy-efficient network operations. And in this attempt, clustering has been found as a significant tool. In this work, two popular routing schemes for homogeneous WSN- energy-efficient protocol with static clustering (EEPSC) and an enhanced energy-efficient protocol with static clustering (E 3 PSC) have been deployed in the heterogeneous environment in order to figure out their performance;then, a new clustering-based scheme—heterogeneous energy-efficient clustering protocol for wireless sensor network (HEECP) has been proposed. The suitability of the HEECP is established through an extensive set of experiments conducted in MATLAB with respect to the network parameters—network lifetime and network throughput. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Energy efficiency

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IoT sensor Predictive Analysis System Using Apache Spark in Edge Cloud Environment 14th

IoT Sensor Predictive Analysis System Using Apache Spark in ...

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14th international conference on Computer Science and its applications, CSA 2022 and the 16th KIPS international conference on Ubiquitous Information technologies and applications, CUTE 2022

作者： Hong, Gi-dae An, Young-Min Roh, Seol Huh, Eui-Nam Department of Computer Science and Engineering Kyung Hee University Yongin-si17104 Korea Republic of

ISBN: (纸本)9789819912513

The Internet of Things (IoT) environment, which enables networking and computing in everything, is rapidly spreading. IoT environments cause bottlenecks and service delays to process data and provide services to users through a cloud-based central processing structure. In order to solve this problem, edge computing, which provides services to users by directly frosting data from IoT nodes and access networks, is rapidly spreading to cloud environment, where research continues to efficiently provide low delay intelligent services to users. In this paper, the response time of the service required to complete LSTM training is mainly measured by comparing to the locality of centralized data in the core cloud. In addition, the accuracy of the existing LSTM and the improved algorithm is compared on various reliability conditions. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Internet of things

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Fingerprint-based fusion of magnetic field data with multiple wireless technologies for indoor mobile robot positioning 13

Fingerprint-based fusion of magnetic field data with multipl...

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13th international conference on Indoor Positioning and Indoor Navigation, IPIN 2023

作者： Sarcevic, Peter Csik, Dominik Pesti, Richard Stefanoni, Massimo Sarosi, Jozsef Odry, Akos University of Szeged Department of Mechatronics and Automation Szeged Hungary Óbuda University Doctoral School of Applied Informatics and Applied Mathematics Budapest Hungary

ISBN: (纸本)9798350320114

Mobile robot pose information is getting utilized in more and more indoor applications. In this paper, a novel fingerprinting-based positioning method is proposed. The method utilizes magnetic field data together with measurements collected using anchors equipped with multiple wireless technologies. The collected fingerprints are used to train MultiLayer Perceptron (MLP) neural networks, which can later be utilized to estimate the 2D position based on sensor readings in an unknown position. Real measurements collected in a laboratory are used to validate the performance of the method. The measurement database consists of 3D magnetometer measurements and four different parameter types measured between the mobile node and the anchor nodes using multiple wireless technologies. The parameters include Time of Flight (ToF) measurements using Ultra-WideBand (UWB) and Received Signal Strength Indicator (RSSI) measured using WiFi, UWB and 433 MHz frequency band. Various combinations of data were tested in the evaluation process. The obtained results showed that significant improvement, even more than 35%, can be achieved in the positioning performance for most combinations by fusing magnetometer measurements and wireless communication data. © 2023 IEEE.

关键词： artificial neural network fingerprinting localization magnetometer RSSI

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Hybrid Underwater Wireless System for Shallow Sea Monitoring: An Outage Analysis

Hybrid Underwater Wireless System for Shallow Sea Monitoring...

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2022 IEEE international conference on Electronics, Computing and Communication technologies, CONECCT 2022

作者： Bhatnagar, Romya Garg, Parul Netaji Subhas University of Technology Ece Department New Delhi India

ISBN: (数字)9781665497817

ISBN: (纸本)9781665497817

In this paper, we have proposed a hybrid dual hop monitoring system for covering a broad region in shallow underwater environment. Here, the performance of a hybrid underwater opto-acoustic sensor network (UOASN) is investigated. Acoustic sensor and optical sensor are deployed at different locations on the shallow water floor that capture the sensor data and send it to the underwater vehicle having decode-and-forward relaying mechanism. This UOASN provides better data rates and low latency in comparison of conventional underwater acoustic systems. The acoustic link is defined by α-mathcal{F} fading distribution and mixture EGG model is accounted to characterize an underwater optical link. The novel closed form expressions for exact outage probability and its high SNR regime are derived. To analyse the performance of the proposed monitoring system in terms of outage, various underwater optical and acoustic link scenarios are considered. © 2022 IEEE.

关键词： sensor nodes

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