International Journal of Sensors, Wireless Communications and Control最新文献

{"title":"A Mobility Based Approach to Strengthen the Network Lifetime of\u0000Wireless Sensor Networks in 3D Region","authors":"Neha, Jasvinder Kaur","doi":"10.2174/0122103279255197231020060356","DOIUrl":"https://doi.org/10.2174/0122103279255197231020060356","url":null,"abstract":"\u0000\u0000In this era of emerging technologies, Mobile Wireless Sensor Network\u0000(MWSN) has emerged as a powerful tool for many applications. Applications such as battlefield and\u0000traffic surveillance, agriculture and environment monitoring, smart homes and smart cities require a\u0000specific protocol to fulfill a specific purpose. WSN is composed of numerous tiny Sensor Nodes\u0000(SNs) along with one or more sinks, where sinks have unlimited sources of energy and SNs are battery-\u0000operated. SN tasks are to sense the data and transmit it to sink through the formation of dynamic\u0000topology. The SNs nearer to the sink rapidly exhaust their energy due to the heavy burden. Due to\u0000this, SNs became dead affecting the performance of the network lifespan. To overcome this problem,\u0000the concept of MWSN has been proposed. In MWSN, the sink can move from one location to another,\u0000and collect data from SNs. With the help of MWSN, the problem of energy holes can be resolved.\u0000An energy hole is a problem in which nodes are alive but they are not able to send the data due to\u0000low energy left. To overcome this problem, MWSN plays an important role. MSWN can move\u0000around the region and collect the data from SNs.\u0000\u0000\u0000\u0000In this work, we have proposed a Mobile Sink (MS) that can move on fixed or random locations\u0000for data collection from SNs. The comparative analysis of various MS strategies such as MS\u0000on boundaries, 4 sojourn locations in the region, random position in the region and fixed path to collect\u0000the data has been done.\u0000\u0000\u0000\u0000SNs become dead in 2246 rounds in static approach. In the MS boundary approach, all SNs\u0000are dead in 2593 rounds. In the sojourn location, it lasts up to 4827. But in MS random and fixed location\u0000approaches, all SNs are dead in 11568 and 11513 rounds, respectively.\u0000\u0000\u0000\u0000The simulation results depict that the MS strategies having fixed or random positions in\u0000the region enhanced the network lifetime 4 to 5 times more than the static sink.\u0000","PeriodicalId":37686,"journal":{"name":"International Journal of Sensors, Wireless Communications and Control","volume":"28 16","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139005081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Iterative Filtering PAPR Reduction Method for OFDM Modulation in\u0000Fifth-Generation Cellular Networks","authors":"H. Merah, Lahcene Merah, K. Tahkoubit, Larbi Talbi","doi":"10.2174/0122103279261469231019111616","DOIUrl":"https://doi.org/10.2174/0122103279261469231019111616","url":null,"abstract":"\u0000\u0000Orthogonal Frequency Division Multiplexing (OFDM) is an\u0000ordinarily used waveform in the fifth generation (5G) cellular networks for uplink links. However,\u0000there is a prominent disadvantage in the form of a high peak-to-average power ratio (PAPR) which\u0000yields distortion in the timing signal generated at the output of the high-power amplifier (HPA).\u0000\u0000\u0000\u0000A new method called Iterative Filtering PAPR Reduction (IFP) has been suggested in this\u0000paper and maintains backward compatibility. The basic concept behind this algorithm is to obtain a\u0000filter based on a constant-envelope signal that is intimate to the original signal as far as power is concerned. The constant-envelope signal is then compared to the output between the product of the convolution of the original signal with the filter in question, allowing for the calculation of the impulse\u0000response of the filter. Such a process can be repeated several times with different filters to realize the\u0000best reduction in PAPR.\u0000\u0000\u0000\u0000The simulated results of the IFP method proved better performance in terms of PAPR reduction, Bit Error Rate (BER), and computational complexity requiring two iterations only. We can\u0000see a gain of 3.1dB in terms of PAPR reduction, 17dB in terms of BER, and a factor of 33 times in\u0000terms of computational complexity compared to the TR method. The Complementary Cumulative\u0000Complementary Density Function (CCDF) has assisted in measuring and improving the PAPR performance of the system.\u0000\u0000\u0000\u0000The theoretical analysis shows that a single iteration (NF=1) is sufficient, and the simulation results exposed in this paper show a gain of 3.1 dB in PAPR reduction.\u0000","PeriodicalId":37686,"journal":{"name":"International Journal of Sensors, Wireless Communications and Control","volume":"66 28","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138594573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-Objective Stochastic Gradient Based ADR Mechanism for Throughput and Latency Optimization in LoRaWAN","authors":"Swathika R, S. M. D. Kumar","doi":"10.2174/0122103279272388231026062241","DOIUrl":"https://doi.org/10.2174/0122103279272388231026062241","url":null,"abstract":"In Long Range Wide Area Networks (LoRaWAN), the goal of Adaptive Data Rate (ADR) is to allocate resources to End Devices (ED) like Transmission Power (TP) and Spreading Factor (SF). The EDs are designed in a way that they can choose optimal configuration resource parameters from a set of LoRa physical layer parameters. The SF parameter has to be chosen correctly, as an incorrect one may cause collisions and interference if multiple nodes have the same SF. This paper focuses on throughput and latency optimization using an effective ADR mechanism for LoRaWAN-based IoT networks. The objective of this study is to maximize the total throughput. SF should be used by multiple nodes as it will have less Time on Air (ToA), but it may cause collision, contention, and co-spreading factor interference problems. The idea is to find an optimal SF allocation to end devices and the optimal number of total devices using the same SF to avoid collision and interference. This paper proposes a multi-objective stochastic gradient descent method to solve the constrained optimization problem for optimizing throughput and latency. This work compares throughput and latency results for the static, quasi-static, and dynamic environments. Trade-offs between latency and throughput for the simulated scenarios are also presented. The simulation results show that the throughput obtained using this technique is higher than the naive ADR approach and the existing gradient descent methods.","PeriodicalId":37686,"journal":{"name":"International Journal of Sensors, Wireless Communications and Control","volume":"128 1-2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139262679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bandwidth-enhanced FSS-loaded Semi-Circular Patch Antenna for C-band Applications","authors":"U. Akash, Sujith Rajan B, Kavya M Surapuramath, Manas Badanikai, Varun D","doi":"10.2174/0122103279267837231025113117","DOIUrl":"https://doi.org/10.2174/0122103279267837231025113117","url":null,"abstract":"This study aimed to develop and analyse a bandwidth-enhanced C band antenna loaded with EBG and FSS Structures to improve the antenna performance. This paper illustrates the design of a semi-circular microstrip antenna with a modified circular ring Frequency Selective Surface (FSS) and an Electromagnetic Band Gap (EBG) structure for improved bandwidth and an omnidirectional pattern. The patch antenna is aimed at C-Band intersatellite communication links in a constellation. In literature, the application of EBG and FSS together is seldom used. The semicircular patch is aimed at retaining the omnidirectional antenna pattern at higher frequencies, as well as bandwidth, which is achieved through FSS and EBG structures. The modeling and simulation of the antenna have been carried out with 3D EM solvers. The simulated patch antenna operates in a wideband ranging from 4.1 GHz to 7.1 GHz with a gain of 1.9 dB at 5.33 GHz and 1.4 dB at 4.5 GHz. The proposed antenna design is vertically polarized. The simulation results are validated with measurement results. From the results obtained it is found that the antenna has broadband resonance from 4.04 GHz to 7.1 GHz with a nominal gain of 1.949 dB at 5.33 GHz and 1.433 dB at 4.5 GHz and impedance bandwidth of 78.4% (3.136 GHz).","PeriodicalId":37686,"journal":{"name":"International Journal of Sensors, Wireless Communications and Control","volume":"37 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139262919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Future Intelligent Communication with 6G Technology: A Review","authors":"Sharad Jain, Ashwani Kumar Yadav, Raj Kumar, Vaishali Yadav, Dilbag Singh","doi":"10.2174/0122103279270825231023095946","DOIUrl":"https://doi.org/10.2174/0122103279270825231023095946","url":null,"abstract":"Abstract: With the exponentially increasing demand for wireless technology in the last few years, fifth-generation (5G) technology is in service at many places and soon will be deployed worldwide. But it might be complicated to address the escalating need for Internet of Things (IoT) connections using the conventional capabilities henceforward, so the proposal of a sixth generation (6G) communication network was introduced to upgrade the ongoing 5G networks and support to develop smart services additionally. The unexpected Internet of Everything applications having incredibly broad and complex needs are projected to be supported by 6G. With this, researchers in academics and industries have started research and development for 6G wireless network. 6G with artificial intelligence support is planned to be introduced, with new dimensions between 2027 and 2030. The future of 6G technology is bright and vibrant; however, there are yet several obstacles in the way of implementing 6G networks like capacity of system, reliability, security, latency, data rate, high energy efficiency, ever-present intelligent connectivity, and recent theories. In this paper, various 6Genabled technologies are discussed like artificial intelligence, terahertz communications, wireless optical, free-space optical, backhaul network, and block chain along with associated challenges. We showcase the foundation of 6G in detail, the performance of the 6G network, and key enabling technologies that can upgrade the future of the smart world. The bibliometric analysis of recent research on 6G networks and related applications is also achieved. Finally, we illustrate key open research challenges and possible future directions toward the realization of 6G-enabled technologies.","PeriodicalId":37686,"journal":{"name":"International Journal of Sensors, Wireless Communications and Control","volume":"29 22","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135873848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Automated Patient Activity Identification in Cyber-Physical Systems Using A Unique Deep Learning Approach and Multi-Objective Optimization","authors":"Gaikwad Rama Bhagwatrao, Ramanathan Lakshmanan","doi":"10.2174/0122103279274650231010053723","DOIUrl":"https://doi.org/10.2174/0122103279274650231010053723","url":null,"abstract":"Aims and Background: For video understanding and analysis, human activity recognition (HAR) has emerged as a challenging field to investigate and implement. Patients can be monitored in real-time by a group of healthy individuals, and abnormal behaviors can be used to identify them later. Patients who do not engage in customary physical activities are more likely to suffer from stress, cardiovascular disease, diabetes, and musculoskeletal disorders. Thus, it is critical to collect, evaluate, and analyze data to determine their activities. Objectives and Methodology: Deep learning-based convolutional neural networks (CNNs) can be used to solve the problem of patient activities in the healthcare system by identifying the most efficient healthcare providers. Healthcare relies heavily on the integration of medical devices into cyberphysical systems (CPS). Hospitals are progressively employing these technologies to maintain a high standard of patient care. The CNN-CPS technique can be used by a healthcare organization to examine a patient's medical history, symptoms, and tests to provide personalized care. A network of medical devices must be integrated into healthcare. Hospitals are increasingly using these technologies to ensure that patients get the best possible care at all times. Healthcare automation can dramatically improve quality and consistency by reducing human errors and fatigue. The multiobjective optimization is achieved considering various factors like the time required to find emergency case identification, new disease prediction, and accuracy of data protection. Results: Consequently, patients are assured of receiving a consistent, attentive service at every visit. Data and orders can be stored and entered more easily via automation, market research suggests. The outcome of this article is obtained based on a comparison of various approaches in health monitoring systems, such as collection of patient data is 82.3%, new disease prediction is 80.14%, emergency case identification is 78.25%, data protection is 81.35%, immune to impersonation attack reduction is 78.36% and overall accuracy of data protection and transmission performance is 86.24% is achieved. Conclusion: Compared with existing methods DM-CC and HE-WSN for health monitoring and patient’s treatment process, the proposed method CNN-CPS is better in maintaining the data and proper information passed to the medical care is 92.56%. result: Consequently, patients are assured of receiving consistent, attentive service at every visit. Data and orders can be stored and entered more easily via automation, market research suggests. The outcome of this article is obtained based on a comparison of various approaches in health monitoring systems as Collection of patient’s data is 82.3%, new disease prediction is 80.14%, emergency case identification is 78.25%, Data protection is 81.35%, immune to impersonation attack reduction is 78.36% and overall accuracy of data protection and transm","PeriodicalId":37686,"journal":{"name":"International Journal of Sensors, Wireless Communications and Control","volume":"38 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136318564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Study on Underwater Image Processing Techniques","authors":"Nishant Choudhary, Neha Goel, Ravindra Kumar Yadav","doi":"10.2174/0122103279259455231019092856","DOIUrl":"https://doi.org/10.2174/0122103279259455231019092856","url":null,"abstract":"Abstract: In recent years, a potential interest has been developed in exploring and enhancing the quality of underwater images. The captured underwater images often experience scattering and high levels of noise due to the properties of light transit within the water and the biotic movement that occurs inside the ocean bottom. Underwater cameras or devices were fitted inside the unmanned underwater vehicles (UUVs), autonomous underwater vehicles (AUVs), remotely operated vehicles (ROVs), ocean detector networks, etc to see the ocean bottom. Despite being a crucial detector for keeping an eye on underwater landscapes, modern underwater camera sensors or detectors contain a number of problems. Numerous solutions to the issues with conventional underwater photography have been put out during the last five years. With the help of the number of contributions and difficulties reported by more than 40 researchers in their research article, this study focused to mention the current underwater image processing methods. This article represents an overview of numerous underwater image-processing techniques utilized, including underwater picture de-scattering, underwater image colour refurbishment, and underwater image aspect evaluations. Also, the latest trends, problems, and challenges for creating and processing underwater image sensors were discussed. objective: analysis of underwater image processing using numerous techniques method: The two kinds of underwater picture de-scattering techniques—hardware-based and software-based—are initially reviewed in this work. Then, we list four common techniques for restoring the colour of underwater images. We then discuss reference-based indexes and non-reference indexes, two techniques for evaluating the quality of underwater images. We conclude by summarising this essay and discussing potential directions for this area. result: Experimental Results of Fluorescence Imaging Underwater Polarization Imaging Experimental Results of Traditional Physical Model-based Methods. Experimental Results of Traditional Non-physical Model-based Methods. Experimental Results of Color Restoration Methods conclusion: We provided a thorough analysis of underwater image processing in this study. According to the different imaging kinds, we separated the underwater image processing techniques into two groups. The two courses' cutting-edge methods were thoroughly debated and critiqued. The wavelength compensation technique, including physical model, non-physical model, and colour reconstruction approach are presented for software-based underwater image processing. Finally, a summary of future trends and quality evaluation techniques is provided","PeriodicalId":37686,"journal":{"name":"International Journal of Sensors, Wireless Communications and Control","volume":"2016 359","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136318842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Swarm Algorithm-based Power Optimization in Cooperative Communication Network","authors":"Sonika Pahuja, Poonam Jindal","doi":"10.2174/0122103279260104230929103737","DOIUrl":"https://doi.org/10.2174/0122103279260104230929103737","url":null,"abstract":"Background: Due to the environmental effects, the signal fades abruptly and is sometimes lost in the transmission path, which results in weak signal reception at the destination node. The Cooperative Communication Network (CCN) overcomes this problem and provides better spectral efficiency. The source node and the helper node both send the information to the receiver. In spite of many advantages, there are some limitations to such networks. Improving the system efficiency by power, energy, or relay selection optimization is quite desirable as multiple helper nodes are used in the network. Considering this crucial requirement of optimization, the proposed work presents optimal power allocation of the system. Methods: Here, tunicate-swarm optimization is implemented to improve the system parameters, symbol error rate (SER), outage probability, and bit error rate (BER). Two relaying protocols are used for analysis, i.e., Amplify-and-Forward (AF) and Differential AF (Diff-AF), with two combining schemes: Selection-Combining (SC) and Maximal-Ratio-Combining (MRC). Results: The results obtained are further compared with other metaheuristics algorithms, such as Particle-Swarm-Algorithm (PSO), Black-Widow-Optimization (BWO), and the traditional method of Equal-Power-Allocation (EPA). Conclusion: The simulation result shows that the proposed algorithm improves the system parameters compared to algorithms with less time.","PeriodicalId":37686,"journal":{"name":"International Journal of Sensors, Wireless Communications and Control","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135620253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Knowledge Mapping of Human Activity Recognition Techniques for Assistive Living (A Systematic Review)","authors":"Preeti Agarwal, Mansaf Alam","doi":"10.2174/2210327913666230911113149","DOIUrl":"https://doi.org/10.2174/2210327913666230911113149","url":null,"abstract":"Purpose: Human Activity Recognition (HAR) is a subject of research that identifies an individual’s activities for assistive living. The proliferation of ICT and sensor technology prompted HAR to flourish beyond unfathomable levels, having immense human-centric applications. The development of accurate HAR systems involves complex statistical and computational tasks from signal acquisition to activity classification. This research aims to conduct a systematic review of recent techniques proposed for each stage of HAR application development. Methodology: The review is conducted following Kitchenham principles, using Scopus and Web of Science databases. Firstly, research questions were formulated, followed by the search strategy definition. Based on assessment criteria, 193 papers are shortlisted and thoroughly analyzed to extract research-related information. Results: The techniques identified in 193 articles are comprehensively mapped from four aspects: data acquisition, data preprocessing and feature engineering, learning algorithm, and evaluation. Each technique is examined for its strengths and limitations to assist application developers in selecting the best one for their needs. The prevailing challenges and upcoming research opportunities are thoroughly explored. Conclusion: The ever-expanding literature in the field necessitated an update to the status of HAR literature. Compared to other reviews that focused on specific methods, fields of application, and datatypes, to the best of our understanding, this is the first evaluation of its kind that provides a broader mapping of HAR approaches. The findings of this analysis will provide researchers and newcomers in the field an up-to-date and holistic view of the complete body of work in this area.","PeriodicalId":37686,"journal":{"name":"International Journal of Sensors, Wireless Communications and Control","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135981339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"2.4 GHz Compact Textile Antenna for Body Wear Application and Monitoring of Health Parameters","authors":"A. Ghodake, B. Hogade","doi":"10.2174/2210327913666230825143456","DOIUrl":"https://doi.org/10.2174/2210327913666230825143456","url":null,"abstract":"\u0000\u0000This paper has described a textile-based body-worn antenna. When compared to standard flat and stiff antennas and circuits, this technology delivers superior mechanical and radio frequency performance. Textile antennas have several advantages, including small size, lightweight, ease of fabrication, and low cost. As a result of these advantages, textile antennas are gaining popularity these days.\u0000\u0000\u0000\u0000There are different applications of textile antennas, but the main application or aim is to wear them comfortably and observe different body signals for analysis of different health parameters, like temperature, heart rate, blood pressure, etc., as the compactness of the antenna bending losses is less.\u0000\u0000\u0000\u0000In the design of an antenna, jeans fabric is employed as the substrate because this material is sturdy, stiff, of little density, accessible, and inexpensive with electromagnetic properties ℇr = 1.6 and tan ẟ = 0.01, and copper is used for the conducting patch and ground.\u0000\u0000\u0000\u0000This antenna operates in the industrial, scientific, and medical radio (ISM) band at 2.4 GHz with patch dimensions of 25 x 20 mm, making it proper for body-worn purposes. Because the antenna is so small, it can be readily mounted on an arm for health parameter monitoring with minimal bending. In sweaty conditions, it also operates in the ISM band.\u0000\u0000\u0000\u0000The simulation, fabrication, and body wear results are all included in the results section. As a result, these novel fibre antennas are useful to incorporate into shirts and coats for easy health monitoring with minimum loss.\u0000","PeriodicalId":37686,"journal":{"name":"International Journal of Sensors, Wireless Communications and Control","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87577471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}