International Journal of Distributed Sensor Networks最新文献

Multiantenna Clustering Collaboration for WPCNs Based on Nonlinear EH 基于非线性EH的wpcn多天线聚类协同

4区计算机科学

International Journal of Distributed Sensor Networks Pub Date : 2023-11-14 DOI: 10.1155/2023/9948725

Lina Yuan, Huajun Chen, Anran Zhou, Rong Wang, Xianli Wen

{"title":"Multiantenna Clustering Collaboration for WPCNs Based on Nonlinear EH","authors":"Lina Yuan, Huajun Chen, Anran Zhou, Rong Wang, Xianli Wen","doi":"10.1155/2023/9948725","DOIUrl":"https://doi.org/10.1155/2023/9948725","url":null,"abstract":"This article considers a wireless-powered communication network (WPCN) composed of a multiantenna hybrid access point (HAP) based on nonlinear energy harvesting (EH). To improve some distant WDs’ throughput performance, one of them is allowed to be selected as a cluster head (CH) to help transfer information from other cluster members (CMs). Nevertheless, the proposed clustering collaboration’s performance is essentially restricted by the CH’s energy-intensive consumption (EC), which requires to transfer every WDs’ information, covering its own. In order to figure out the question, the HAP’s energy beamforming (EB) capability with multiple antennas is utilized that can concentrate greater transmission power into the CH to equilibrate its EC to assist other WDs. To be specific, each WD’s throughput performance is firstly derived under the proposed approach. A high-efficiency optimization algorithm for addressing cooperative optimization problem is put forward. In addition, the simulations are carried out in the actual network environment, and the results demonstrate that our proposed clustering collaboration with multiple antennas can validly enhance the WPCN’s throughput fairness based on nonlinear EH.","PeriodicalId":54327,"journal":{"name":"International Journal of Distributed Sensor Networks","volume":"115 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134957322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cognitive Radio Spectrum Sensing-Based QAM Technique Using Blockchain 基于区块链的认知无线电频谱感知QAM技术

4区计算机科学

International Journal of Distributed Sensor Networks Pub Date : 2023-10-21 DOI: 10.1155/2023/7225260

D. Balakumar, S. Nandakumar

{"title":"Cognitive Radio Spectrum Sensing-Based QAM Technique Using Blockchain","authors":"D. Balakumar, S. Nandakumar","doi":"10.1155/2023/7225260","DOIUrl":"https://doi.org/10.1155/2023/7225260","url":null,"abstract":"Cognitive radio (CR) is a novel concept developed to solve concerns such as spectrum underutilization and scarcity. Spectrum detection methods are employed in the blockchain-based CR to make optimum use of the spectrum reserves. In this paper, an attempt is made to evaluate the effectiveness of an energy sensor using collaborative spectrum detection. Wideband is defined as the frequency range between 470 MHz and 790 MHz, and additive white Gaussian noise (AWGN) is employed. The probability of detection ( <math xmlns=\"http://www.w3.org/1998/Math/MathML\" id=\"M1\"> <msub> <mrow> <mi>P</mi> </mrow> <mrow> <mtext>d</mtext> </mrow> </msub> </math> ) under different situations is examined using detection in the receiver operational curve (ROC). According to the findings, the <math xmlns=\"http://www.w3.org/1998/Math/MathML\" id=\"M2\"> <msub> <mrow> <mi>P</mi> </mrow> <mrow> <mtext>d</mtext> </mrow> </msub> </math> increases with the number of samples. This form of sensing, which is thought to be the easiest and best, uses energy-detecting spectrum sensing. To address ambiguity, the M-ary QAM technique is provided, which increases aggregate effectiveness in terms of the percentage of false alarm ( <math xmlns=\"http://www.w3.org/1998/Math/MathML\" id=\"M3\"> <msub> <mrow> <mi>P</mi> </mrow> <mrow> <mtext>f</mtext> </mrow> </msub> </math> ) and probability of missed detection ( <math xmlns=\"http://www.w3.org/1998/Math/MathML\" id=\"M4\"> <msub> <mrow> <mi>P</mi> </mrow> <mrow> <mtext>m</mtext> </mrow> </msub> </math> ) by 5% at a comparable delay period. When CR encounters shadowing and impacts situations, the client cannot tell the difference between an underutilized zone and fading. In comparison to the existing model, this study increases the likelihood of detecting a 3 dBm SNR for a 64-QAM modulated signal by at least 15%.","PeriodicalId":54327,"journal":{"name":"International Journal of Distributed Sensor Networks","volume":"9 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135510906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Sum Rate Optimization for MIMO Multicasting Network with Active IRS 具有有源IRS的MIMO多播网络的和速率优化

4区计算机科学

International Journal of Distributed Sensor Networks Pub Date : 2023-10-11 DOI: 10.1155/2023/5903661

Ping Li, Jinhong Bian

引用次数: 0

IoT-Based Real-Time Crop Drying and Storage Monitoring System 基于物联网的作物干燥储存实时监控系统

4区计算机科学

International Journal of Distributed Sensor Networks Pub Date : 2023-09-26 DOI: 10.1155/2023/4803000

Ishimwe Viviane, Emmanuel Masabo, Habiyaremye Joseph, Mitsindo Rene, Elias Bizuru

{"title":"IoT-Based Real-Time Crop Drying and Storage Monitoring System","authors":"Ishimwe Viviane, Emmanuel Masabo, Habiyaremye Joseph, Mitsindo Rene, Elias Bizuru","doi":"10.1155/2023/4803000","DOIUrl":"https://doi.org/10.1155/2023/4803000","url":null,"abstract":"Maize flour obtained from the dried corn is one of the most consumed foods in Rwanda. It is imperative that this should be healthy and risk-free for a safe consumption. Therefore, it is vital to keep track of the environmental conditions during the drying process and the characteristics that exist inside maize storage containers. In Rwanda, traditional methods are most commonly used by maize farmers for drying and storage purposes, where no smart system is being used to monitor the environmental conditions under which the maize grains are dried and stored. This mostly affects the quality of maize and flour being produced which will finally affect food security. In this research, temperature, humidity, and light sensors are deployed in the grain storage containers for environmental parameter detection purposes to achieve the primary goal of providing practical, secure, and easily accessible storage in inclement weather. Temperature and humidity are two factors that have an impact on grain quality while in storage. The ThingSpeak platform has been used to help farmers monitor the drying and storing conditions of the maize on a real-time basis. A global system for mobile (GSM) communication module is used to notify farmers by sending a short message in case of critical drying or storing environmental parameters under which the maize grains are stored. The result is shown in the form of humidity, temperature, and light graphs which are displayed on the ThingSpeak platform in real-time mode.","PeriodicalId":54327,"journal":{"name":"International Journal of Distributed Sensor Networks","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134885111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Improved method of step length estimation based on inverted pendulum model. 改进的基于倒立摆模型的步长估计方法。

IF 2.3 4区计算机科学

International Journal of Distributed Sensor Networks Pub Date : 2017-04-01 Epub Date: 2017-04-10 DOI: 10.1177/1550147717702914

Qi Zhao, Boxue Zhang, Jingjing Wang, Wenquan Feng, Wenyan Jia, Mingui Sun

引用次数: 18