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

نویسندگان

چکیده

Wireless Sensor Networks (WSNs) are a major element of Internet Things (IoT) networks which offer seamless sensing and wireless connectivity. Disaster management in smart cities can be considered as safety critical application. Therefore, it becomes essential ensuring network accessibility by improving the lifetime IoT assisted WSN. Clustering multihop routing beneficial solutions to accomplish energy efficiency networks. This article designs an enabled aware metaheuristic clustering with protocol for real time disaster (EAMCR-RTDM). The proposed EAMCR-RTDM technique mainly intends manage utilization nodes consideration features region. To achieve this, primarily yellow saddle goatfish based (YSGF-C) elect cluster heads (CHs) organize clusters. In addition, enhanced cockroach swarm optimization (ECSO) (ECSO-MHR) approach was derived optimal route selection. YSGF-C ECSO-MHR techniques compute fitness functions using different input variables achieving improved lifetime. design shows novelty work. For examining outcomes system, wide range simulations were performed extensive results assessed terms measures. comparative highlighted algorithm over existing approaches.

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ژورنال

عنوان ژورنال: Computer systems science and engineering

سال: 2023

ISSN: ['0267-6192']

DOI: https://doi.org/10.32604/csse.2023.029463