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  • Open Access

    ARTICLE

    Network Learning-Enabled Sensor Association for Massive Internet of Things

    Alaa Omran Almagrabi1,*, Rashid Ali2, Daniyal Alghazzawi1, Bander A. Alzahrani1, Fahad M. Alotaibi1

    Computer Systems Science and Engineering, Vol.47, No.1, pp. 843-853, 2023, DOI:10.32604/csse.2023.037652

    Abstract The massive Internet of Things (IoT) comprises different gateways (GW) covering a given region of a massive number of connected devices with sensors. In IoT networks, transmission interference is observed when different sensor devices (SD) try to send information to a single GW. This is mitigated by allotting various channels to adjoining GWs. Furthermore, SDs are permitted to associate with any GW in a network, naturally choosing the one with a higher received signal strength indicator (RSSI), regardless of whether it is the ideal choice for network execution. Finding an appropriate GW to optimize the performance of IoT systems is… More >

  • Open Access

    ARTICLE

    Modified Dwarf Mongoose Optimization Enabled Energy Aware Clustering Scheme for Cognitive Radio Wireless Sensor Networks

    Sami Saeed Binyamin1, Mahmoud Ragab2,*

    Computer Systems Science and Engineering, Vol.47, No.1, pp. 105-119, 2023, DOI:10.32604/csse.2023.037311

    Abstract Cognitive radio wireless sensor networks (CRWSN) can be defined as a promising technology for developing bandwidth-limited applications. CRWSN is widely utilized by future Internet of Things (IoT) applications. Since a promising technology, Cognitive Radio (CR) can be modelled to alleviate the spectrum scarcity issue. Generally, CRWSN has cognitive radio-enabled sensor nodes (SNs), which are energy limited. Hierarchical cluster-related techniques for overall network management can be suitable for the scalability and stability of the network. This paper focuses on designing the Modified Dwarf Mongoose Optimization Enabled Energy Aware Clustering (MDMO-EAC) Scheme for CRWSN. The MDMO-EAC technique mainly intends to group the… More >

  • Open Access

    ARTICLE

    Design of Evolutionary Algorithm Based Unequal Clustering for Energy Aware Wireless Sensor Networks

    Mohammed Altaf Ahmed1, T. Satyanarayana Murthy2, Fayadh Alenezi3, E. Laxmi Lydia4, Seifedine Kadry5,6,7, Yena Kim8, Yunyoung Nam8,*

    Computer Systems Science and Engineering, Vol.47, No.1, pp. 1283-1297, 2023, DOI:10.32604/csse.2023.035786

    Abstract Wireless Sensor Networks (WSN) play a vital role in several real-time applications ranging from military to civilian. Despite the benefits of WSN, energy efficiency becomes a major part of the challenging issue in WSN, which necessitate proper load balancing amongst the clusters and serves a wider monitoring region. The clustering technique for WSN has several benefits: lower delay, higher energy efficiency, and collision avoidance. But clustering protocol has several challenges. In a large-scale network, cluster-based protocols mainly adapt multi-hop routing to save energy, leading to hot spot problems. A hot spot problem becomes a problem where a cluster node nearer… More >

  • Open Access

    REVIEW

    Recent progress in microbial cell surface display systems and their application on biosensors

    HAIYING CHEN, YUQING WU, BAOJIAN HUANG, LEI HAN*

    BIOCELL, Vol.47, No.6, pp. 1213-1223, 2023, DOI:10.32604/biocell.2023.028035

    Abstract Microbial cell surface display technology is a recombinant technology to express target proteins on the cell membrane, which can be used to redesign the cell surface with functional proteins and peptides. Bacterial and yeast surface display systems are the most common cell surface display systems of prokaryotic and eukaryotic proteins, that are widely applied as the core elements in the field of biosensors due to their advantages, including enhanced stability, high yield, good safety, expression of larger and more complex proteins. To further promote the performance of biosensors, the biomineralized microbial surface display technology was proposed. This review summarized the… More >

  • Open Access

    ARTICLE

    Recognition for Frontal Emergency Stops Dangerous Activity Using Nano IoT Sensor and Transfer Learning

    Wei Sun1, Zhanhe Du2,*

    Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 1181-1195, 2023, DOI:10.32604/iasc.2023.037497

    Abstract Currently, it is difficult to extract the depth feature of the frontal emergency stops dangerous activity signal, which leads to a decline in the accuracy and efficiency of the frontal emergency stops the dangerous activity. Therefore, a recognition for frontal emergency stops dangerous activity algorithm based on Nano Internet of Things Sensor (NIoTS) and transfer learning is proposed. First, the NIoTS is installed in the athlete’s leg muscles to collect activity signals. Second, the noise component in the activity signal is removed using the de-noising method based on mathematical morphology. Finally, the depth feature of the activity signal is extracted… More >

  • Open Access

    ARTICLE

    Selection of Metaheuristic Algorithm to Design Wireless Sensor Network

    Rakhshan Zulfiqar1,2, Tariq Javed1, Zain Anwar Ali2,*, Eman H. Alkhammash3, Myriam Hadjouni4

    Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 985-1000, 2023, DOI:10.32604/iasc.2023.037248

    Abstract The deployment of sensor nodes is an important aspect in mobile wireless sensor networks for increasing network performance. The longevity of the networks is mostly determined by the proportion of energy consumed and the sensor nodes’ access network. The optimal or ideal positioning of sensors improves the portable sensor networks effectiveness. Coverage and energy usage are mostly determined by successful sensor placement strategies. Nature-inspired algorithms are the most effective solution for short sensor lifetime. The primary objective of work is to conduct a comparative analysis of nature-inspired optimization for wireless sensor networks (WSNs’) maximum network coverage. Moreover, it identifies quantity… More >

  • Open Access

    ARTICLE

    Sensor-Based Adaptive Estimation in a Hybrid Environment Employing State Estimator Filters

    Ashvini Kulkarni1,2, P. Augusta Sophy Beulet1,*

    Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 127-146, 2023, DOI:10.32604/iasc.2023.035144

    Abstract It is widely acknowledged that navigation is a significant source of between sites. The Global Positioning System (GPS) has numerous navigational advancements, and hence it is used widely. GPS navigation can be compromised at any level between position, location, and estimation, to the detriment of the user. Consequently, a navigation system requires the precise location and underpinning tracking of an object without signal loss. The objective of a hybrid environment prediction system is to foresee the location of the user and their territory by employing a variety of sensors for position estimation and monitoring navigation. This article presents a state… More >

  • Open Access

    ARTICLE

    Real-Time Data Transmission with Data Carrier Support Value in Neighbor Strategic Collection in WSN

    S. Ponnarasi1,*, T. Rajendran2

    CMC-Computers, Materials & Continua, Vol.75, No.3, pp. 6039-6057, 2023, DOI:10.32604/cmc.2023.035499

    Abstract An efficient trust-aware secure routing and network strategy-based data collection scheme is presented in this paper to enhance the performance and security of wireless sensor networks during data collection. The method first discovers the routes between the data sensors and the sink node. Several factors are considered for each sensor node along the route, including energy, number of neighbours, previous transmissions, and energy depletion ratio. Considering all these variables, the Sink Reachable Support Measure and the Secure Communication Support Measure, the method evaluates two distinct measures. The method calculates the data carrier support value using these two metrics. A single… More >

  • Open Access

    ARTICLE

    A Review and Analysis of Localization Techniques in Underwater Wireless Sensor Networks

    Seema Rani1, Anju1, Anupma Sangwan1, Krishna Kumar2, Kashif Nisar3, Tariq Rahim Soomro3, Ag. Asri Ag. Ibrahim4,*, Manoj Gupta5, Laxmi Chand5, Sadiq Ali Khan6

    CMC-Computers, Materials & Continua, Vol.75, No.3, pp. 5697-5715, 2023, DOI:10.32604/cmc.2023.033007

    Abstract In recent years, there has been a rapid growth in Underwater Wireless Sensor Networks (UWSNs). The focus of research in this area is now on solving the problems associated with large-scale UWSN. One of the major issues in such a network is the localization of underwater nodes. Localization is required for tracking objects and detecting the target. It is also considered tagging of data where sensed contents are not found of any use without localization. This is useless for application until the position of sensed content is confirmed. This article’s major goal is to review and analyze underwater node localization… More >

  • Open Access

    ARTICLE

    Heterogeneous Fault-Tolerant Aggregate Signcryption with Equality Test for Vehicular Sensor Networks

    Yang Zhao1, Jingmin An1, Hao Li1, Saru Kumari2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.1, pp. 555-575, 2023, DOI:10.32604/cmes.2023.026808

    Abstract The vehicular sensor network (VSN) is an important part of intelligent transportation, which is used for real-time detection and operation control of vehicles and real-time transmission of data and information. In the environment of VSN, massive private data generated by vehicles are transmitted in open channels and used by other vehicle users, so it is crucial to maintain high transmission efficiency and high confidentiality of data. To deal with this problem, in this paper, we propose a heterogeneous fault-tolerant aggregate signcryption scheme with an equality test (HFTAS-ET). The scheme combines fault-tolerant and aggregate signcryption, which not only makes up for… More > Graphic Abstract

    Heterogeneous Fault-Tolerant Aggregate Signcryption with Equality Test for Vehicular Sensor Networks

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