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  • Open Access


    Echo Location Based Bat Algorithm for Energy Efficient WSN Routing

    Anwer Mustafa Hilal1,*, Siwar Ben Haj Hassine2, Jaber S. Alzahrani3, Masoud Alajmi4, Fahd N. Al-Wesabi2,5, Mesfer Al Duhayyim6, Ishfaq Yaseen1, Abdelwahed Motwakel1

    CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 6351-6364, 2022, DOI:10.32604/cmc.2022.024489

    Abstract Due to the wide range of applications, Wireless Sensor Networks (WSN) are increased in day to day life and becomes popular. WSN has marked its importance in both practical and research domains. Energy is the most significant resource, the important challenge in WSN is to extend its lifetime. The energy reduction is a key to extend the network's lifetime. Clustering of sensor nodes is one of the well-known and proved methods for achieving scalable and energy conserving WSN. In this paper, an energy efficient protocol is proposed using metaheuristic Echo location-based BAT algorithm (ECHO-BAT). ECHO-BAT works in two stages. First… More >

  • Open Access


    VANET: Optimal Cluster Head Selection Using Opposition Based Learning

    S. Aravindkumar*, P. Varalakshmi

    Intelligent Automation & Soft Computing, Vol.33, No.1, pp. 601-617, 2022, DOI:10.32604/iasc.2022.023783


    Traffic related accidents and route congestions remain to dwell significant issues in the globe. To overcome this, VANET was proposed to enhance the traffic management. However, there are several drawbacks in VANET such as collision of vehicles, data transmission in high probability of network fragmentation and data congestion. To overcome these issues, the Enhanced Pigeon Inspired Optimization (EPIO) and the Adaptive Neuro Fuzzy Inference System (ANFIS) based methods have been proposed. The Cluster Head (CH) has been selected optimally using the EPIO approach, and then the ANFIS has been used for updating and validating the CH and also for enhancing… More >

  • Open Access


    Fault Tolerance Techniques for Multi-Hop Clustering in Wireless Sensor Networks

    Adel Rajab*

    Intelligent Automation & Soft Computing, Vol.32, No.3, pp. 1743-1761, 2022, DOI:10.32604/iasc.2022.021922

    Abstract Wireless sensor networks (WSN) deploy many nodes over an extended area for traffic surveillance, environmental monitoring, healthcare, tracking wildlife, and military sensing. Nodes of the WSN have a limited amount of energy. Each sensor node collects information from the surrounding area and forwards it onto the cluster head, which then sends it on to the base station (BS). WSNs extend the lifetime of the network through clustering techniques. Choosing nodes with the greatest residual energy as cluster heads is based on the idea that energy consumption is periodically distributed between nodes. The sink node gathers information from its environment that… More >

  • Open Access


    Design of QoS Aware Routing Protocol for IoT Assisted Clustered WSN

    Ashit Kumar Dutta1, S. Srinivasan2, Bobbili Prasada Rao3, B. Hemalatha4, Irina V. Pustokhina5, Denis A. Pustokhin6, Gyanendra Prasad Joshi7,*

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3785-3801, 2022, DOI:10.32604/cmc.2022.023657

    Abstract In current days, the domain of Internet of Things (IoT) and Wireless Sensor Networks (WSN) are combined for enhancing the sensor related data transmission in the forthcoming networking applications. Clustering and routing techniques are treated as the effective methods highly used to attain reduced energy consumption and lengthen the lifetime of the WSN assisted IoT networks. In this view, this paper presents an Ensemble of Metaheuristic Optimization based QoS aware Clustering with Multihop Routing (EMO-QoSCMR) Protocol for IoT assisted WSN. The proposed EMO-QoSCMR protocol aims to achieve QoS parameters such as energy, throughput, delay, and lifetime. The proposed model involves… More >

  • Open Access


    HELP-WSN-A Novel Adaptive Multi-Tier Hybrid Intelligent Framework for QoS Aware WSN-IoT Networks

    J. Sampathkumar*, N. Malmurugan

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 2107-2123, 2022, DOI:10.32604/cmc.2022.019983

    Abstract Wireless Sensor Network is considered as the intermediate layer in the paradigm of Internet of things (IoT) and its effectiveness depends on the mode of deployment without sacrificing the performance and energy efficiency. WSN provides ubiquitous access to location, the status of different entities of the environment and data acquisition for long term IoT monitoring. Achieving the high performance of the WSN-IoT network remains to be a real challenge since the deployment of these networks in the large area consumes more power which in turn degrades the performance of the networks. So, developing the robust and QoS (quality of services)… More >

  • Open Access


    DAMFO-Based Optimal Path Selection and Data Aggregation in WSN

    S. Sudha Mercy1,*, J. M. Mathana2, J. S. Leena Jasmine3

    Intelligent Automation & Soft Computing, Vol.32, No.1, pp. 589-604, 2022, DOI:10.32604/iasc.2022.021068

    Abstract Wireless Sensor Network (WSN) encompasses several tiny devices termed as Sensor Nodes (SN) that have restriction in resources with lower energy, memory, together with computation. Data Aggregation (DA) is required to optimize WSN for secured data transmission at Cluster Head (CH) together with Base Station (BS). With regard to the Energy Efficiency (EE) along with the privacy conservation requirements of WSN in big-data processing and aggregation, this paper proposed Diversity centered Adaptive Moth-Flame Optimization (DAMFO) for Optimal Path Selection (OPS) and DA in WSN. In the proposed work, initially, the Trust Evaluation (TE) process is performed. The Pompeiu Distance-centered Fuzzy… More >

  • Open Access


    Quantum Firefly Secure Routing for Fog Based Wireless Sensor Networks

    R. Dayana1,*, G. Maria Kalavathy2

    Intelligent Automation & Soft Computing, Vol.31, No.3, pp. 1511-1528, 2022, DOI:10.32604/iasc.2022.020551

    Abstract Wireless Sensor Networks (WSNs) become an integral part of Internet of Things (IoT) and finds their applicability in several domains. As classical WSN faces several issues in service-based IoT applications, fog computing has been introduced in real-time, enabling local data processing and avoid raw data transmission to cloud servers. The Fog-based WSN generally involves advanced nodes, normal nodes, and some Fog Nodes (FN). Though the Fog-based WSN offers several benefits, there is a need to develop an effective trust-based secure routing protocol for data transmission among Cluster Heads (CHs) and FNs. In this view, this paper presents a Quantum Firefly… More >

  • Open Access


    Optimal Routing Protocol for Wireless Sensor Network Using Genetic Fuzzy Logic System

    S. Zulaikha Beevi, Abdullah Alabdulatif*

    CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 4107-4122, 2022, DOI:10.32604/cmc.2022.020292

    Abstract The wireless sensor network (WSN) is a growing sector in the network domain. By implementing it many industries developed smart task for different purposes. Sensor nodes interact with each other and this interaction technique are handled by different routing protocol. Extending the life of the network in WSN is a challenging issue because energy in sensor nodes are quickly drained. So the overall performance of WSN are degraded by this limitation. To resolve this unreliable low power link, many researches have provided various routing protocols to make the network as dependable and sustainable as possible. While speeding up the data… More >

  • Open Access


    Implementation of K-Means Algorithm and Dynamic Routing Protocol in VANET

    Manoj Sindhwani1, Charanjeet Singh1,*, Rajeshwar Singh2

    Computer Systems Science and Engineering, Vol.40, No.2, pp. 455-467, 2022, DOI:10.32604/csse.2022.018498

    Abstract With the growth of Vehicular Ad-hoc Networks, many services delivery is gaining more attention from the intelligent transportation system. However, mobility characteristics of vehicular networks cause frequent disconnection of routes, especially during the delivery of data. In both developed and developing countries, a lot of time is consumed due to traffic congestion. This has significant negative consequences, including driver stress due to increased time demand, decreased productivity for various personalized and commercial vehicles, and increased emissions of hazardous gases especially air polluting gases are impacting public health in highly populated areas. Clustering is one of the most powerful strategies for… More >

  • Open Access


    Type II Fuzzy Logic Based Cluster Head Selection for Wireless Sensor Network

    J. Jean Justus1,*, M. Thirunavukkarasan2, K. Dhayalini3, G. Visalaxi4, Adel Khelifi5, Mohamed Elhoseny6,7

    CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 801-816, 2022, DOI:10.32604/cmc.2022.019122

    Abstract Wireless Sensor Network (WSN) forms an essential part of IoT. It is embedded in the target environment to observe the physical parameters based on the type of application. Sensor nodes in WSN are constrained by different features such as memory, bandwidth, energy, and its processing capabilities. In WSN, data transmission process consumes the maximum amount of energy than sensing and processing of the sensors. So, diverse clustering and data aggregation techniques are designed to achieve excellent energy efficiency in WSN. In this view, the current research article presents a novel Type II Fuzzy Logic-based Cluster Head selection with Low Complexity… More >

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