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  • Open Access

    ARTICLE

    Secure and Energy Concise Route Revamp Technique in Wireless Sensor Networks

    S. M. Udhaya Sankar1,*, Mary Subaja Christo2, P. S. Uma Priyadarsini3

    Intelligent Automation & Soft Computing, Vol.35, No.2, pp. 2337-2351, 2023, DOI:10.32604/iasc.2023.030278

    Abstract Energy conservation has become a significant consideration in wireless sensor networks (WSN). In the sensor network, the sensor nodes have internal batteries, and as a result, they expire after a certain period. As a result, expanding the life duration of sensing devices by improving data depletion in an effective and sustainable energy-efficient way remains a challenge. Also, the clustering strategy employs to enhance or extend the life cycle of WSNs. We identify the supervisory head node (SH) or cluster head (CH) in every grouping considered the feasible strategy for power-saving route discovery in the clustering model, which diminishes the communication… More >

  • Open Access

    ARTICLE

    An Improved Lifetime and Energy Consumption with Enhanced Clustering in WSNs

    I. Adumbabu1,*, K. Selvakumar2

    Intelligent Automation & Soft Computing, Vol.35, No.2, pp. 1939-1956, 2023, DOI:10.32604/iasc.2023.029489

    Abstract A wireless sensor network (WSN) is made up of sensor nodes that communicate via radio waves in order to conduct sensing functions. In WSN, the location of the base station is critical. Although base stations are fixed, they may move in response to data received from sensor nodes under specific conditions. Clustering is a highly efficient approach of minimising energy use. The issues of extending the life of WSNs and optimising their energy consumption have been addressed in this paper. It has been established that integrating mobile sinks into wireless sensor networks extends their longevity. Thus, this research proposes an… More >

  • Open Access

    ARTICLE

    Network Invulnerability Enhancement Algorithm Based on WSN Closeness Centrality

    Qian Sun1,2, Fengbo Yang1,2, Xiaoyi Wang2,3, Jing Li4,*, Jiping Xu1,2, Huiyan Zhang1,2, Li Wang1,2, Jiabin Yu1,2, Xiao Peng1,2, Ruichao Wang5

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 3021-3038, 2022, DOI:10.32604/cmc.2022.029367

    Abstract Wireless Sensor Network (WSN) is an important part of the Internet of Things (IoT), which are used for information exchange and communication between smart objects. In practical applications, WSN lifecycle can be influenced by the unbalanced distribution of node centrality and excessive energy consumption, etc. In order to overcome these problems, a heterogeneous wireless sensor network model with small world characteristics is constructed to balance the centrality and enhance the invulnerability of the network. Also, a new WSN centrality measurement method and a new invulnerability measurement model are proposed based on the WSN data transmission characteristics. Simulation results show that… More >

  • Open Access

    ARTICLE

    Optimal Deployment of Heterogeneous Nodes to Enhance Network Invulnerability

    Qian Sun1,2, Fengbo Yang1,2, Xiaoyi Wang2,3,*, Jiping Xu1,2, Huiyan Zhang1,2, Li Wang1,2, Jiabin Yu1,2, Xiao Peng1,2, Ruichao Wang4

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 3081-3097, 2022, DOI:10.32604/cmc.2022.029366

    Abstract Wireless sensor networks (WSN) can be used in many fields. In wireless sensor networks, sensor nodes transmit data in multi hop mode. The large number of hops required by data transmission will lead to unbalanced energy consumption and large data transmission delay of the whole network, which greatly affects the invulnerability of the network. Therefore, an optimal deployment of heterogeneous nodes (ODHN) algorithm is proposed to enhance the invulnerability of the wireless sensor networks. The algorithm combines the advantages of DEEC (design of distributed energy efficient clustering) clustering algorithm and BAS (beetle antenna search) optimization algorithm to find the globally… More >

  • Open Access

    ARTICLE

    Statistical Analysis with Dingo Optimizer Enabled Routing for Wireless Sensor Networks

    Abdulaziz S. Alghamdi1,*, Randa Alharbi2, Suliman A. Alsuhibany3, Sayed Abdel-Khalek4,5

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 2865-2878, 2022, DOI:10.32604/cmc.2022.028088

    Abstract Security is a vital parameter to conserve energy in wireless sensor networks (WSN). Trust management in the WSN is a crucial process as trust is utilized when collaboration is important for accomplishing trustworthy data transmission. But the available routing techniques do not involve security in the design of routing techniques. This study develops a novel statistical analysis with dingo optimizer enabled reliable routing scheme (SADO-RRS) for WSN. The proposed SADO-RRS technique aims to detect the existence of attacks and optimal routes in WSN. In addition, the presented SADO-RRS technique derives a new statistics based linear discriminant analysis (LDA) for attack… More >

  • Open Access

    ARTICLE

    Efficient Hybrid Energy Optimization Method in Location Aware Unmanned WSN

    M. Suresh Kumar1,*, G. A. Sathish Kumar2

    Intelligent Automation & Soft Computing, Vol.35, No.1, pp. 705-725, 2023, DOI:10.32604/iasc.2023.027545

    Abstract The growth of Wireless Sensor Networks (WSNs) has revolutionized the field of technology and it is used in different application frameworks. Unmanned edges and other critical locations can be monitored using the navigation sensor node. The WSN required low energy consumption to provide a high network and guarantee the ultimate goal. The main objective of this work is to propose hybrid energy optimization in local aware environments. The hybrid proposed work consists of clustering, optimization, direct and indirect communication and routing. The aim of this research work is to provide and framework for reduced energy and trusted communication with the… More >

  • Open Access

    ARTICLE

    Fuzzy with Metaheuristics Based Routing for Clustered Wireless Sensor Networks

    Ashit Kumar Dutta1,*, Yasser Albagory2, Majed Alsanea3, Abdul Rahaman Wahab Sait4, Hazim Saleh AlRawashdeh5

    Intelligent Automation & Soft Computing, Vol.35, No.1, pp. 367-380, 2023, DOI:10.32604/iasc.2023.027076

    Abstract Wireless sensor network (WSN) plays a vital part in real time tracking and data collection applications. WSN incorporates a set of numerous sensor nodes (SNs) commonly utilized to observe the target region. The SNs operate using an inbuilt battery and it is not easier to replace or charge it. Therefore, proper utilization of available energy in the SNs is essential to prolong the lifetime of the WSN. In this study, an effective Type-II Fuzzy Logic with Butterfly Optimization Based Route Selection (TFL-BOARS) has been developed for clustered WSN. The TFL-BOARS technique intends to optimally select the cluster heads (CHs) and… More >

  • Open Access

    ARTICLE

    A Novel MegaBAT Optimized Intelligent Intrusion Detection System in Wireless Sensor Networks

    G. Nagalalli*, G. Ravi

    Intelligent Automation & Soft Computing, Vol.35, No.1, pp. 475-490, 2023, DOI:10.32604/iasc.2023.026571

    Abstract Wireless Sensor Network (WSN), which finds as one of the major components of modern electronic and wireless systems. A WSN consists of numerous sensor nodes for the discovery of sensor networks to leverage features like data sensing, data processing, and communication. In the field of medical health care, these network plays a very vital role in transmitting highly sensitive data from different geographic regions and collecting this information by the respective network. But the fear of different attacks on health care data typically increases day by day. In a very short period, these attacks may cause adversarial effects to the… More >

  • Open Access

    ARTICLE

    Automated Irrigation System Using Improved Fuzzy Neural Network in Wireless Sensor Networks

    S. Sakthivel1, V. Vivekanandhan2,*, M. Manikandan2

    Intelligent Automation & Soft Computing, Vol.35, No.1, pp. 853-866, 2023, DOI:10.32604/iasc.2023.026289

    Abstract Irrigation plays a significant role in various agricultural cropping methods deployed in semiarid and arid regions where valuable water applications and managing are considered crucial concerns. Multiple factors such as weather, soil, water, and crop data need to be considered for irrigation maintenance in an efficient besides uniform manner from multifaceted and different information-based systems. A Multi-Agent System (MAS) has been proposed recently based on diverse agent subsystems with definite objectives for attaining global MAS objective and is deployed on Cloud Computing paradigm capable of gathering information from Wireless Sensor Networks (WSNs) positioned in rice, cotton, cassava crops for knowledge… More >

  • Open Access

    ARTICLE

    A Hybrid Approach to Neighbour Discovery in Wireless Sensor Networks

    Sagar Mekala1,*, K. Shahu Chatrapati2

    Intelligent Automation & Soft Computing, Vol.35, No.1, pp. 581-593, 2023, DOI:10.32604/iasc.2023.023539

    Abstract In the contemporary era of unprecedented innovations such as Internet of Things (IoT), modern applications cannot be imagined without the presence of Wireless Sensor Network (WSN). Nodes in WSN use neighbour discovery (ND) protocols to have necessary communication among the nodes. Neighbour discovery process is crucial as it is to be done with energy efficiency and minimize discovery latency and maximize percentage of neighbours discovered. The current ND approaches that are indirect in nature are categorized into methods of removal of active slots from wake-up schedules and intelligent addition of new slots. The two methods are found to have certain… More >

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