Muhammad Salman Qamar^1,*, Ihsan ul Haq¹, Amil Daraz², Atif M. Alamri³, Salman A. AlQahtani⁴, Muhammad Fahad Munir¹

CMC-Computers, Materials & Continua, Vol.79, No.2, pp. 2945-2970, 2024, DOI:10.32604/cmc.2024.050168

Abstract In pursuit of enhancing the Wireless Sensor Networks (WSNs) energy efficiency and operational lifespan, this paper delves into the domain of energy-efficient routing protocols. In WSNs, the limited energy resources of Sensor Nodes (SNs) are a big challenge for ensuring their efficient and reliable operation. WSN data gathering involves the utilization of a mobile sink (MS) to mitigate the energy consumption problem through periodic network traversal. The mobile sink (MS) strategy minimizes energy consumption and latency by visiting the fewest nodes or pre-determined locations called rendezvous points (RPs) instead of all cluster heads (CHs). CHs… More >

Jingcheng Zhang¹, Xingjian Zhou¹, Dong Shen¹, Qimeng Yu¹, Lin Yuan^2,*, Yingying Dong³

Phyton-International Journal of Experimental Botany, Vol.93, No.4, pp. 745-762, 2024, DOI:10.32604/phyton.2024.049734

Abstract As an important rice disease, rice bacterial leaf blight (RBLB, caused by the bacterium Xanthomonas oryzae pv. oryzae), has become widespread in east China in recent years. Significant losses in rice yield occurred as a result of the disease’s epidemic, making it imperative to monitor RBLB at a large scale. With the development of remote sensing technology, the broad-band sensors equipped with red-edge channels over multiple spatial resolutions offer numerous available data for large-scale monitoring of rice diseases. However, RBLB is characterized by rapid dispersal under suitable conditions, making it difficult to track the disease at… More >

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… More >

Ameni Ellouze¹, Nesrine Kadri², Alaa Alaerjan^3,*, 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… More >

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 More >

Shabana Ramzan¹, Yazeed Yasin Ghadi², Hanan Aljuaid³, Aqsa Mahmood^1,*, 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.… More >

Haosong Gou¹, Gaoyi Zhang¹, Renê Ripardo Calixto², Senthil Kumar Jagatheesaperumal³, Victor Hugo C. de Albuquerque^2,*

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… More >

RUBY AHMED¹, MOHAMMAD OMAISH ANSARI², FARMAN ALI¹, SHAHID PERVEZ ANSARI^1,*

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. More >

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 More >

S. DEIVANAYAKI^1,*, 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 More >