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  • Open Access

    ARTICLE

    Enhanced Metaheuristics with Trust Aware Route Selection for Wireless Sensor Networks

    A. Francis Saviour Devaraj1, T. Satyanarayana Murthy2, Fayadh Alenezi3, E. Laxmi Lydia4, Mohamad Adzhar Md Zawawi5, Mohamad Khairi Ishak5,*

    Computer Systems Science and Engineering, Vol.46, No.2, pp. 1431-1445, 2023, DOI:10.32604/csse.2023.034421

    Abstract Recently, a trust system was introduced to enhance security and cooperation between nodes in wireless sensor networks (WSN). In routing, the trust system includes or avoids nodes related to the estimated trust values in the routing function. This article introduces Enhanced Metaheuristics with Trust Aware Secure Route Selection Protocol (EMTA-SRSP) for WSN. The presented EMTA-SRSP technique majorly involves the optimal selection of routes in WSN. To accomplish this, the EMTA-SRSP technique involves the design of an oppositional Aquila optimization algorithm to choose safe routes for data communication. For the clustering process, the nodes with maximum residual energy will be considered… More >

  • Open Access

    ARTICLE

    A WSN Node Fault Diagnosis Model Based on BRB with Self-Adaptive Quality Factor

    Guo-Wen Sun1, Gang Xiang2,3, Wei He1,4,*, Kai Tang1, Zi-Yi Wang1, Hai-Long Zhu1

    CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 1157-1177, 2023, DOI:10.32604/cmc.2023.035667

    Abstract Wireless sensor networks (WSNs) operate in complex and harsh environments; thus, node faults are inevitable. Therefore, fault diagnosis of the WSNs node is essential. Affected by the harsh working environment of WSNs and wireless data transmission, the data collected by WSNs contain noisy data, leading to unreliable data among the data features extracted during fault diagnosis. To reduce the influence of unreliable data features on fault diagnosis accuracy, this paper proposes a belief rule base (BRB) with a self-adaptive quality factor (BRB-SAQF) fault diagnosis model. First, the data features required for WSN node fault diagnosis are extracted. Second, the quality… More >

  • Open Access

    ARTICLE

    Lens-Oppositional Wild Geese Optimization Based Clustering Scheme for Wireless Sensor Networks Assists Real Time Disaster Management

    R. Surendran1,*, Youseef Alotaibi2, Ahmad F. Subahi3

    Computer Systems Science and Engineering, Vol.46, No.1, pp. 835-851, 2023, DOI:10.32604/csse.2023.036757

    Abstract Recently, wireless sensor networks (WSNs) find their applicability in several real-time applications such as disaster management, military, surveillance, healthcare, etc. The utilization of WSNs in the disaster monitoring process has gained significant attention among research communities and governments. Real-time monitoring of disaster areas using WSN is a challenging process due to the energy-limited sensor nodes. Therefore, the clustering process can be utilized to improve the energy utilization of the nodes and thereby improve the overall functioning of the network. In this aspect, this study proposes a novel Lens-Oppositional Wild Goose Optimization based Energy Aware Clustering (LOWGO-EAC) scheme for WSN-assisted real-time… More >

  • Open Access

    ARTICLE

    Efficient Energy and Delay Reduction Model for Wireless Sensor Networks

    Arslan Iftikhar1, M. A. Elmagzoub2, Ansar Munir1,*, Hamad Abosaq Al Salem2, Mahmood ul Hassan3, Jarallah Alqahtani2, Asadullah Shaikh2

    Computer Systems Science and Engineering, Vol.46, No.1, pp. 1153-1168, 2023, DOI:10.32604/csse.2023.030802

    Abstract In every network, delay and energy are crucial for communication and network life. In wireless sensor networks, many tiny nodes create networks with high energy consumption and compute routes for better communication. Wireless Sensor Networks (WSN) is a very complex scenario to compute minimal delay with data aggregation and energy efficiency. In this research, we compute minimal delay and energy efficiency for improving the quality of service of any WSN. The proposed work is based on energy and distance parameters as taken dependent variables with data aggregation. Data aggregation performs on different models, namely Hybrid-Low Energy Adaptive Clustering Hierarchy (H-LEACH),… More >

  • Open Access

    ARTICLE

    An Energy-Efficient Multi-swarm Optimization in Wireless Sensor Networks

    Reem Alkanhel1, Kalaiselvi Chinnathambi2, C. Thilagavathi3, Mohamed Abouhawwash4,5, Mona A. Al duailij6, Manal Abdullah Alohali7, Doaa Sami Khafaga6,*

    Intelligent Automation & Soft Computing, Vol.36, No.2, pp. 1571-1583, 2023, DOI:10.32604/iasc.2023.033430

    Abstract Wireless Sensor Networks are a group of sensors with inadequate power sources that are installed in a particular region to gather information from the surroundings. Designing energy-efficient data gathering methods in large-scale Wireless Sensor Networks (WSN) is one of the most difficult areas of study. As every sensor node has a finite amount of energy. Battery power is the most significant source in the WSN. Clustering is a well-known technique for enhancing the power feature in WSN. In the proposed method multi-Swarm optimization based on a Genetic Algorithm and Adaptive Hierarchical clustering-based routing protocol are used for enhancing the network’s… More >

  • Open Access

    ARTICLE

    Reinforcement Learning to Improve QoS and Minimizing Delay in IoT

    Mahendrakumar Subramaniam1,*, V. Vedanarayanan2, Azath Mubarakali3, S. Sathiya Priya4

    Intelligent Automation & Soft Computing, Vol.36, No.2, pp. 1603-1612, 2023, DOI:10.32604/iasc.2023.032396

    Abstract Machine Learning concepts have raised executions in all knowledge domains, including the Internet of Thing (IoT) and several business domains. Quality of Service (QoS) has become an important problem in IoT surrounding since there is a vast explosion of connecting sensors, information and usage. Sensor data gathering is an efficient solution to collect information from spatially disseminated IoT nodes. Reinforcement Learning Mechanism to improve the QoS (RLMQ) and use a Mobile Sink (MS) to minimize the delay in the wireless IoT s proposed in this paper. Here, we use machine learning concepts like Reinforcement Learning (RL) to improve the QoS… More >

  • Open Access

    ARTICLE

    Energy-Efficient Routing Protocol with Multi-Hop Fuzzy Logic for Wireless Networks

    J. Gobinath1,*, S. Hemajothi2, J. S. Leena Jasmine3

    Intelligent Automation & Soft Computing, Vol.36, No.2, pp. 2457-2471, 2023, DOI:10.32604/iasc.2023.031171

    Abstract A Wireless Sensor Network (WSN) becomes a newer type of real-time embedded device that can be utilized for a wide range of applications that make regular networking which appears impracticable. Concerning the energy production of the nodes, WSN has major issues that may influence the stability of the system. As a result, constructing WSN requires devising protocols and standards that make the most use of constrained capacity, especially the energy resources. WSN faces some issues with increased power utilization and an on going development due to the uneven energy usage between the nodes. Clustering has proven to be a more… More >

  • Open Access

    ARTICLE

    Clustered Wireless Sensor Network in Precision Agriculture via Graph Theory

    L. R. Bindu1,*, P. Titus2, D. Dhanya3

    Intelligent Automation & Soft Computing, Vol.36, No.2, pp. 1435-1449, 2023, DOI:10.32604/iasc.2023.030591

    Abstract Food security and sustainable development is making a mandatory move in the entire human race. The attainment of this goal requires man to strive for a highly advanced state in the field of agriculture so that he can produce crops with a minimum amount of water and fertilizer. Even though our agricultural methodologies have undergone a series of metamorphoses in the process of a present smart-agricultural system, a long way is ahead to attain a system that is precise and accurate for the optimum yield and profitability. Towards such a futuristic method of cultivation, this paper proposes a novel method… More >

  • Open Access

    ARTICLE

    Modified Adhoc On-Demand Distance Vector for Trust Evaluation And Attack Detection

    S. Soundararajan1,*, B. R. Tapas Bapu2, C. Kotteeswaran1, S. Venkatasubramanian3, P. J. Sathish Kumar4, Ahmed Mudassar Ali2

    Intelligent Automation & Soft Computing, Vol.36, No.2, pp. 1227-1240, 2023, DOI:10.32604/iasc.2023.025752

    Abstract Recently, Wireless Sensor Network (WSN) becomes most potential technologies for providing improved services to several data gathering and tracking applications. Because of the wireless medium, multi-hop communication, absence of physical protectivity, and accumulated traffic, WSN is highly vulnerable to security concerns. Therefore, this study explores a specific type of DoS attack identified as a selective forwarding attack where the misbehaving node in the network drops packet on a selective basis. It is challenging to determine if packet loss is caused by a collision in the medium access path, poor channel quality, or a selective forwarding assault. Identifying misbehaving nodes at… More >

  • Open Access

    ARTICLE

    CEER: Cooperative Energy-Efficient Routing Mechanism for Underwater Wireless Sensor Networks Using Clusters

    Sayyed Mudassar Shah1, Tariq Hussain2, Babar Shah3, Farman Ali4, Khalid Zaman1, Kyung-Sup Kwak5,*

    Computer Systems Science and Engineering, Vol.45, No.3, pp. 2587-2602, 2023, DOI:10.32604/csse.2023.034489

    Abstract Underwater acoustic sensor networks (UWASNs) aim to find varied offshore ocean monitoring and exploration applications. In most of these applications, the network is composed of several sensor nodes deployed at different depths in the water. Sensor nodes located at depth on the seafloor cannot invariably communicate with nodes close to the surface level; these nodes need multi-hop communication facilitated by a suitable routing scheme. In this research work, a Cluster-based Cooperative Energy Efficient Routing (CEER) mechanism for UWSNs is proposed to overcome the shortcomings of the Co-UWSN and LEACH mechanisms. The optimal role of clustering and cooperation provides load balancing… More >

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