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  • Open Access


    Internet of Things Enabled Energy Aware Metaheuristic Clustering for Real Time Disaster Management

    Riya Kumarasamy Santhanaraj1, Surendran Rajendran2,*, Carlos Andres Tavera Romero3, Sadish Sendil Murugaraj4

    Computer Systems Science and Engineering, Vol.45, No.2, pp. 1561-1576, 2023, DOI:10.32604/csse.2023.029463

    Abstract Wireless Sensor Networks (WSNs) are a major element of Internet of Things (IoT) networks which offer seamless sensing and wireless connectivity. Disaster management in smart cities can be considered as a safety critical application. Therefore, it becomes essential in ensuring network accessibility by improving the lifetime of IoT assisted WSN. Clustering and multihop routing are considered beneficial solutions to accomplish energy efficiency in IoT networks. This article designs an IoT enabled energy aware metaheuristic clustering with routing protocol for real time disaster management (EAMCR-RTDM). The proposed EAMCR-RTDM technique mainly intends to manage the energy utilization… More >

  • Open Access


    Metaheuristics Based Node Localization Approach for Real-Time Clustered Wireless Networks

    R. Bhaskaran1, P. S. Sujith Kumar2, G. Shanthi3, L. Raja4, Gyanendra Prasad Joshi5, Woong Cho6,*

    Computer Systems Science and Engineering, Vol.44, No.1, pp. 1-17, 2023, DOI:10.32604/csse.2023.024973

    Abstract In recent times, real time wireless networks have found their applicability in several practical applications such as smart city, healthcare, surveillance, environmental monitoring, etc. At the same time, proper localization of nodes in real time wireless networks helps to improve the overall functioning of networks. This study presents an Improved Metaheuristics based Energy Efficient Clustering with Node Localization (IM-EECNL) approach for real-time wireless networks. The proposed IM-EECNL technique involves two major processes namely node localization and clustering. Firstly, Chaotic Water Strider Algorithm based Node Localization (CWSANL) technique to determine the unknown position of the nodes. More >

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