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

Computer Systems Science & Engineering 2023年第5期45卷 1561-1576页

作者： riya kumarasamy santhanaraj Surendran Rajendran Carlos Andres Tavera Romero Sadish Sendil Murugaraj Department of Information Technology Vel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering CollegeChennai600062India Center for Artificial Intelligence and Research(CAIR) Chennai Institute of TechnologyChennai600069India COMBA R&D Laboratory Faculty of EngineeringUniversidad Santiago de CaliCali76001Colombia Department of Emerging Technologies Guru Nanak Institute of TechnologyIbrahipatnamTelangana501506India

Wireless Sensor Networks(WSNs)are a major element of Internet of Things(IoT)networks which offer seamless sensing and wireless *** management in smart cities can be considered as a safety critical ***,it becomes essential in ensuring network accessibility by improving the lifetime of IoT assisted *** and multihop routing are considered beneficial solutions to accomplish energy efficiency in IoT *** 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 of nodes with the consideration of the features of the disaster *** achieve this,EAMCR-RTDM technique primarily designs a yellow saddle goatfish based clustering(YSGF-C)technique to elect cluster heads(CHs)and organize *** addition,enhanced cockroach swarm optimization(ECSO)based multihop routing(ECSO-MHR)approach was derived for optimal route *** YSGF-C and ECSO-MHR techniques compute fitness functions using different input variables for achieving improved energy efficiency and network *** design of YSGF-C and ECSO-MHR techniques for disaster management in IoT networks shows the novelty of the *** examining the improved outcomes of the EAMCR-RTDM system,a wide range of simulations were performed and the extensive results are assessed in terms of different *** comparative outcomes highlighted the enhanced outcomes of the EAMCRRTDM algorithm over the existing approaches.

关键词： Internet of things disaster management wireless sensor networks real time applications routing clustering

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