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  • Open Access

    ARTICLE

    Correlation Composition Awareness Model with Pair Collaborative Localization for IoT Authentication and Localization

    Kranthi Alluri, S. Gopikrishnan*

    CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 943-961, 2024, DOI:10.32604/cmc.2024.048621

    Abstract Secure authentication and accurate localization among Internet of Things (IoT) sensors are pivotal for the functionality and integrity of IoT networks. IoT authentication and localization are intricate and symbiotic, impacting both the security and operational functionality of IoT systems. Hence, accurate localization and lightweight authentication on resource-constrained IoT devices pose several challenges. To overcome these challenges, recent approaches have used encryption techniques with well-known key infrastructures. However, these methods are inefficient due to the increasing number of data breaches in their localization approaches. This proposed research efficiently integrates authentication and localization processes in such a way that they complement each… More >

  • Open Access

    ARTICLE

    Combined CNN-LSTM Deep Learning Algorithms for Recognizing Human Physical Activities in Large and Distributed Manners: A Recommendation System

    Ameni Ellouze1, Nesrine Kadri2, Alaa Alaerjan3,*, Mohamed Ksantini1

    CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 351-372, 2024, DOI:10.32604/cmc.2024.048061

    Abstract Recognizing human activity (HAR) from data in a smartphone sensor plays an important role in the field of health to prevent chronic diseases. Daily and weekly physical activities are recorded on the smartphone and tell the user whether he is moving well or not. Typically, smartphones and their associated sensing devices operate in distributed and unstable environments. Therefore, collecting their data and extracting useful information is a significant challenge. In this context, the aim of this paper is twofold: The first is to analyze human behavior based on the recognition of physical activities. Using the results of physical activity detection… More >

  • Open Access

    ARTICLE

    Collaborative Charging Scheduling in Wireless Charging Sensor Networks

    Qiuyang Wang, Zhen Xu*, Lei Yang

    CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 1613-1630, 2024, DOI:10.32604/cmc.2024.047915

    Abstract Wireless sensor networks (WSNs) have the trouble of limited battery power, and wireless charging provides a promising solution to this problem, which is not easily affected by the external environment. In this paper, we study the recharging of sensors in wireless rechargeable sensor networks (WRSNs) by scheduling two mobile chargers (MCs) to collaboratively charge sensors. We first formulate a novel sensor charging scheduling problem with the objective of maximizing the number of surviving sensors, and further propose a collaborative charging scheduling algorithm (CCSA) for WRSNs. In the scheme, the sensors are divided into important sensors and ordinary sensors. Two MCs… More >

  • Open Access

    ARTICLE

    An Ingenious IoT Based Crop Prediction System Using ML and EL

    Shabana Ramzan1, Yazeed Yasin Ghadi2, Hanan Aljuaid3, Aqsa Mahmood1,*, Basharat Ali4

    CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 183-199, 2024, DOI:10.32604/cmc.2024.047603

    Abstract Traditional farming procedures are time-consuming and expensive as based on manual labor. Farmers have no proper knowledge to select which crop is suitable to grow according to the environmental factors and soil characteristics. This is the main reason for the low yield of crops and the economic crisis in the agricultural sector of the different countries. The use of modern technologies such as the Internet of Things (IoT), machine learning, and ensemble learning can facilitate farmers to observe different factors such as soil electrical conductivity (EC), and environmental factors like temperature to improve crop yield. These parameters play a vital… More >

  • Open Access

    ARTICLE

    Reliable Data Collection Model and Transmission Framework in Large-Scale Wireless Medical Sensor Networks

    Haosong Gou1, Gaoyi Zhang1, Renê Ripardo Calixto2, Senthil Kumar Jagatheesaperumal3, Victor Hugo C. de Albuquerque2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.1, pp. 1077-1102, 2024, DOI:10.32604/cmes.2024.047806

    Abstract Large-scale wireless sensor networks (WSNs) play a critical role in monitoring dangerous scenarios and responding to medical emergencies. However, the inherent instability and error-prone nature of wireless links present significant challenges, necessitating efficient data collection and reliable transmission services. This paper addresses the limitations of existing data transmission and recovery protocols by proposing a systematic end-to-end design tailored for medical event-driven cluster-based large-scale WSNs. The primary goal is to enhance the reliability of data collection and transmission services, ensuring a comprehensive and practical approach. Our approach focuses on refining the hop-count-based routing scheme to achieve fairness in forwarding reliability. Additionally,… More >

  • Open Access

    ARTICLE

    VOC Sensing Studies on Electrically Conductive Polyaniline@MoS2 Nanocomposites

    RUBY AHMED1, MOHAMMAD OMAISH ANSARI2, FARMAN ALI1, SHAHID PERVEZ ANSARI1,*

    Journal of Polymer Materials, Vol.36, No.3, pp. 243-251, 2019, DOI:10.32381/JPM.2019.36.03.4

    Abstract Polyaniline (PANI) and molybdenum disulphide (MoS2 ) were used to prepare nanocomposites by in-situ oxidative polymerization of acidified aniline in presence of dispersed MoS2 in the reaction mixture. Electron Microscopy (SEM & TEM), Fourier Transform Infrared (FTIR) spectroscopy, Ultraviolet-Visible (UV-Vis) spectroscopy, and X-ray diffraction (XRD) were used to characterize these nanocomposites. SEM micrographs showed that PANI is present on the layers of MoS2 which were exfoliated during the preparation and the presence of MoS2 is also confirmed by XRD peaks. The nanocomposites were studied for their electrical conductivity and stability of electrical conductivity in terms of d.c. electrical conductivity retention.… More >

  • Open Access

    ARTICLE

    Inkjet-printed Myoglobin based H2S Sensor

    KANCHANA M1, RAJASEKARAN E2, KUMAR B1, USHA ANTONY3

    Journal of Polymer Materials, Vol.38, No.3-4, pp. 309-325, 2021, DOI:10.32381/JPM.2021.38.3-4.11

    Abstract The objective of this research work is to investigate the feasibility of fabricating bio-based visual sensor indicators to detect the presence of H2S using inkjet printing. Myoglobin and chitosan were used as indicating and immobilizing materials respectively. 30 mg of myoglobin dissolved in 1 mL of tris buffer with 10% glycerol gave optimum jettability properties. Similarly, drop formation was optimal for 0.50% m/v chitosan solution diluted to 10 cP viscosity. The samples were fabricated in layer-by-layer approach and indicator with 2 layers of chitosan and 4 layers of myoglobin gave maximum sensitivity with 14.42 for 0.7 mg/L of H2S. The… More >

  • Open Access

    ARTICLE

    Growth of Non-enzymatic Cholesterol Biosensor using TiO2 Decorated Graphene Oxide with Bare GCE and PPy-GCE

    S. DEIVANAYAKI1,*, P. JAYAMURUGAN2, S. ASHOKAN3, V. GOPALA KRISHNAN4, B. YOGESWARI5

    Journal of Polymer Materials, Vol.38, No.3-4, pp. 295-307, 2021, DOI:10.32381/JPM.2021.38.3-4.10

    Abstract The cholesterol level determination is a significant clinical diagnostic solution for heart and, thrombosis problems. In this work, we examined a novel non-enzymatic cholesterol biosensor using cholesterol oxidase (ChOx) enzyme immobilized on TiO2 nanoparticles influenced by reduced graphene oxide (rGO) - polypyrrole (PPy) (rGO-TiO2 /PPy-GCE) nanocomposite was developed on a glassy carbon electrode (GCE) and the higher sensing response with lower detection limits were observed. The electrochemical properties of GCE modified PPy (PPy-GCE) were studied using CV (Cyclic Voltammetry) and DPV (Differential Pulse Voltammetry). The reported sensor exhibited piecewise linearity in the range of 0.1 µM to 1 µM and… More >

  • Open Access

    ARTICLE

    Effect of Kaempferol Enriched Green Polymer-based Encapsulation for Effective Shelf-life Enhancement

    MARIA JENITA, LALITHAPRIYA U, SUKUMAR M*

    Journal of Polymer Materials, Vol.39, No.1-2, pp. 71-87, 2022, DOI:10.32381/JPM.2022.39.1-2.5

    Abstract In this study, a multi-layered green polymer-based packaging composite assembled by active flavonoid Kaempferol grafted with starch-chitosan was prepared, and its characteristics and effect on meat storage, including physicochemical characteristics and antioxidant capacity, were analysed and evaluated at refrigeration conditions given four treatments: CON (control— without coating), SEC (with starch+chitin), P01 (with starch+chitin + 1% of Kaempferol) and P02 (with starch+chitin + 2% of Kaempferol). The addition of Kaempferol increased the antioxidant activity of meat and inhibited the lipid oxidation until day 24 upon migration effect; also improving meat acceptability. The Rancimat induction time confirmed the stability of both P01… More >

  • Open Access

    ARTICLE

    Deep Learning-Based Secure Transmission Strategy with Sensor-Transmission-Computing Linkage for Power Internet of Things

    Bin Li*, Linghui Kong, Xiangyi Zhang, Bochuo Kou, Hui Yu, Bowen Liu

    CMC-Computers, Materials & Continua, Vol.78, No.3, pp. 3267-3282, 2024, DOI:10.32604/cmc.2024.047193

    Abstract The automatic collection of power grid situation information, along with real-time multimedia interaction between the front and back ends during the accident handling process, has generated a massive amount of power grid data. While wireless communication offers a convenient channel for grid terminal access and data transmission, it is important to note that the bandwidth of wireless communication is limited. Additionally, the broadcast nature of wireless transmission raises concerns about the potential for unauthorized eavesdropping during data transmission. To address these challenges and achieve reliable, secure, and real-time transmission of power grid data, an intelligent security transmission strategy with sensor-transmission-computing… More >

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