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مدیریت فناوری اطلاعات، جلد ۱۵، شماره Special Issue: Digital Twin Enabled Neural Networks Architecture Management for Sustainable Computing، صفحات ۵-۲۰
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عنوان انگلیسی Improved Particle Swarm Optimization Based Distributed Energy-Efficient Opportunistic Algorithm for Clustering and Routing in WSNs
چکیده انگلیسی مقاله Wireless Sensor Networks (WSNs) have been employed in various real-time applications and addressed fundamental issues, such as limited power resources and network life. Several sensor nodes in a WSN monitor the actual world and relay discovered data to base stations. The biggest issue with WSN is that the sensors have a limited lifetime and use much electricity to relay data to the base station. This paper proposes an improved PSO-based Enhanced Distributed Energy Efficient Clustering (EDEEC) algorithm to extend the network's life and reduce power consumption. Clustering is the process of forming groups of sensor nodes. The cluster aims to improve the network's scalability, energy efficiency, and other characteristics. The particle swarm optimization algorithm is modified to obtain energy-efficient WSNs. The assessment is based on the essential WSN characteristics, including network lifetime and energy efficiency (power consumption). Compared to LEACH, HEED, and DEEC, our proposed IPSO-EDEEC uses less energy.
کلیدواژه‌های انگلیسی مقاله Sensor nodes (SN),Wireless sensor network (WSN),Network lifetime,Energy consumption,Clustering,Routing
نویسندگان مقاله M. S. Sivagamasundari |
Department of Electrical and Electronics Engineering, Amrita College of Engineering and Technology, Tamilnadu, India.

T. Thamaraimanalan |
Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Coimbatore, India.

S. Ramalingam |
Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Coimbatore, Tamilnadu, India.

K. Balachander |
Department of Electrical and Electronics Engineering, Karpagam Academy of Higher Education, Coimbatore, Tamilnadu, India.

نشانی اینترنتی https://jitm.ut.ac.ir/article_91560_288bc624c0deb290552ef681a12e6247.pdf
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