Maryem Lachgar^1,*, Mansour Lmkaiti¹, Ibtissam Larhlimi¹, Imad Aattouri², Hicham Ouchitachen¹, Hicham Mouncif¹

CMC-Computers, Materials & Continua, Vol.88, No.1, 2026, DOI:10.32604/cmc.2026.075234 - 08 May 2026

Abstract This study introduces a hybrid routing protocol, Low Energy Adaptive Clustering Hierarchy—Ant Colony Optimization—Genetic Algorithm (LEACH-ACO-GA), for wireless sensor networks. It combines regional ant colony optimization for cluster head selection with inter-cluster routing based on a genetic algorithm. The proposed method reduces energy consumption from 6.9 J (LEACH Classic) to 5.6 J (LEACH-ACO-GA) and decreases latency from 460 to 390 ms, while maintaining a packet delivery ratio of 0.97. These values are averaged over 70 rounds based on 30 independent simulation runs conducted on networks with 50 and 200 nodes. The hybrid method extends network More >

Muhammad Salman Qamar^1,*, Muhammad Fahad Munir²

CMC-Computers, Materials & Continua, Vol.84, No.3, pp. 5463-5485, 2025, DOI:10.32604/cmc.2025.064442 - 30 July 2025

Abstract Wireless Sensor Networks (WSNs) have emerged as crucial tools for real-time environmental monitoring through distributed sensor nodes (SNs). However, the operational lifespan of WSNs is significantly constrained by the limited energy resources of SNs. Current energy efficiency strategies, such as clustering, multi-hop routing, and data aggregation, face challenges, including uneven energy depletion, high computational demands, and suboptimal cluster head (CH) selection. To address these limitations, this paper proposes a hybrid methodology that optimizes energy consumption (EC) while maintaining network performance. The proposed approach integrates the Low Energy Adaptive Clustering Hierarchy with Deterministic (LEACH-D) protocol using More >

Eko Budi Santoso^1,2, Nur Izyan Wan Azelee^3,4, Deded Sarip Nawawi², Wasrin Syafii^2,*, Widya Fatriasari^2,5,*

Journal of Renewable Materials, Vol.13, No.5, pp. 865-884, 2025, DOI:10.32604/jrm.2025.058804 - 20 May 2025

Abstract The significant amount of ash content in agricultural biomass presents an enormous challenge for efficient conversion processes. In addressing this issue, various deashing treatments have been tested and established, including simple leaching techniques, which can either be performed with or without the addition of chemical agents. These techniques hold promise for improving the deashing efficiency while potentially altering the structural and chemical composition of biomass, specifically lignin content, which is the key focus of this review. This review starts by exploring the presence of ash in agricultural residues and its impact on biomass properties. Next,… More > Graphic Abstract

Hafiz Zain Ul Aabidin¹, Muhammad Inam Ul Hassan², Tariq Yasin², Muhammad Zubair Rahim¹, Asif Raza^1,*

Journal of Polymer Materials, Vol.42, No.1, pp. 141-150, 2025, DOI:10.32604/jpm.2024.057423 - 27 March 2025

Abstract Geological samples often contain significant amounts of iron, which, although not typically the target element, can substantially interfere with the analysis of other elements of interest. To mitigate these interferences, amidoxime-based radiation grafted adsorbents have been identified as effective for iron removal. In this study, an amidoxime-functionalized, radiation-grafted adsorbent synthesized from polypropylene waste (PPw-g-AO-10) was employed to remove iron from leached geological samples. The adsorption process was systematically optimized by investigating the effects of pH, contact time, adsorbent dosage, and initial ferric ion concentration. Under optimal conditions—pH 1.4, a contact time of 90 min, and More >

Rahma Gantassi, Zaki Masood, Yonghoon Choi^*

CMC-Computers, Materials & Continua, Vol.82, No.1, pp. 327-343, 2025, DOI:10.32604/cmc.2024.058143 - 03 January 2025

Abstract Wireless sensor network (WSN) technologies have advanced significantly in recent years. Within WSNs, machine learning algorithms are crucial in selecting cluster heads (CHs) based on various quality of service (QoS) metrics. This paper proposes a new clustering routing protocol employing the Traveling Salesman Problem (TSP) to locate the optimal path traversed by the Mobile Data Collector (MDC), in terms of energy and QoS efficiency. To be more specific, to minimize energy consumption in the CH election stage, we have developed the M-T protocol using the K-Means and the grid clustering algorithms. In addition, to improve More >

Rudi Dungani^1,*, Mohammad Irfan Bakshi², Tsabita Zahra Hanifa¹, Mustika Dewi¹, Firda A. Syamani², Melbi Mahardika², Widya Fatriasari^2,*

Journal of Renewable Materials, Vol.12, No.6, pp. 1057-1069, 2024, DOI:10.32604/jrm.2024.049342 - 02 August 2024

Abstract The present work emphasizes the isolation of cellulose nanofiber (CNF) from the kenaf (Hibiscus cannabinus) bast through a chemo-mechanical process. In order to develop high CNF yield with superior properties of CNF for improving compatibility in varied applications this method is proposed. The fiber purification involved pulping and bleaching treatments, whereas mechanical treatment was performed by grinding and high-pressure treatments. The kraft pulping as a delignification method followed by bleaching has successfully removed almost 99% lignin in the fiber with high pulp yield and delignification selectivity. The morphology of the fibers was characterized by scanning electron More > Graphic Abstract

Nadezhda Zubova^*, Andrey Ivantsov

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.6, pp. 1407-1424, 2024, DOI:10.32604/fdmp.2024.051130 - 27 June 2024

Abstract The study deals with the numerical modeling of leachate distribution in the porous medium located under a municipal solid waste disposal landfill (MSWLF). The considered three-layer system is based on geological data obtained from field measurements. For simplicity, the problem is investigated by assuming a two-component approach. Nevertheless, the heat produced by landfills due to biological and chemical processes and the thermal diffusion mechanism contributing to pollution transport are taken into account. The numerical modeling of the propagation of leachate in the considered layered porous medium is implemented for parameters corresponding to natural soil and More >

Chaozhi Cai^*, Xiaoyu Guo, Yingfang Xue, Jianhua Ren

Structural Durability & Health Monitoring, Vol.18, No.3, pp. 321-339, 2024, DOI:10.32604/sdhm.2024.045831 - 15 May 2024

Abstract Bleachers play a crucial role in practical engineering applications, and any damage incurred during their operation poses a significant threat to the safety of both life and property. Consequently, it becomes imperative to conduct damage diagnosis and health monitoring of bleachers. The intricate structure of bleachers, the varied types of potential damage, and the presence of similar vibration data in adjacent locations make it challenging to achieve satisfactory diagnosis accuracy through traditional time-frequency analysis methods. Furthermore, field environmental noise can adversely impact the accuracy of bleacher damage diagnosis. To enhance the accuracy and anti-noise capabilities… More > Graphic Abstract

Rui Zhang¹, Taixiang Chen¹, Zhenjiang Chen¹, Hao Chen¹, Xuekai Wei¹, Malik Kamran¹, Chunjie Li^1,2,*

Phyton-International Journal of Experimental Botany, Vol.93, No.3, pp. 567-580, 2024, DOI:10.32604/phyton.2024.047485 - 28 March 2024

Abstract In a greenhouse experiment, the effects of soil microorganisms and extracts of Achnatherum inebrians on the seed germination and seedling growth of Elymus nutans were studied. The results showed that both the extracts from aboveground and belowground parts of A. inebrians significantly inhibited the germination rate, germination potential, germination index, vigor index, seedling height, root length, and fresh weight of E. nutans, but increased malondialdehyde content, catalase, peroxidase and superoxide dismutase activity of E. nutans seedlings (p < 0.05). The allelopathy of aqueous extracts of the aboveground parts of A. inebrians was stronger than that of the precipitates. Aqueous extracts of the… More >

Shereen K. Refaay¹, Samia A. Ali², Moumen T. El-Melegy², Louai A. Maghrabi³, Hamdy H. El-Sayed^1,*

CMC-Computers, Materials & Continua, Vol.78, No.1, pp. 873-897, 2024, DOI:10.32604/cmc.2023.044982 - 30 January 2024

Abstract The structural optimization of wireless sensor networks is a critical issue because it impacts energy consumption and hence the network’s lifetime. Many studies have been conducted for homogeneous networks, but few have been performed for heterogeneous wireless sensor networks. This paper utilizes Rao algorithms to optimize the structure of heterogeneous wireless sensor networks according to node locations and their initial energies. The proposed algorithms lack algorithm-specific parameters and metaphorical connotations. The proposed algorithms examine the search space based on the relations of the population with the best, worst, and randomly assigned solutions. The proposed algorithms… More >