Jan 6, 2021 · In this paper, we propose WSN clustering based on the memetic algorithm (MemA) to decrease the probability of early convergence by utilizing local exploration ...
This paper proposes WSN clustering based on the memetic algorithm (MemA) to decrease the probability of early convergence by utilizing local exploration ...
In this paper, we propose WSN clustering based on the memetic algorithm (MemA) to decrease the probability of early convergence by utilizing local exploration ...
In this paper, we propose WSN clustering based on the memetic algorithm (MemA) to decrease the probability of early convergence by utilizing local exploration ...
In this paper, we propose WSN clustering based on the memetic algorithm (MemA) to decrease the probability of early convergence by utilizing local exploration ...
Effective clustering is key to energy efficiency and network stability in wireless sensor networks. Optimize the density of clusters, their number and size to ...
Reaffiliation rate vs. WMN speed. Optimal Clustering in Wireless Sensor Networks for the Internet of Things Based on Memetic Algorithm: memeWSN.
People also ask
What is clustering method in wireless sensor networks?
What is the optimization of wireless sensor network based on?
What are the disadvantages of clustering in adhoc wireless networks?
What is topology control protocol for wireless sensor networks?
Optimal Clustering in Wireless Sensor Networks for the Internet of Things Based on Memetic Algorithm: memeWSN. Wireless Communications and Mobile Computing.
In this paper, an efficient cluster head selection technique has been proposed for wireless sensor networks. The technique which organizes the sensors into ...
Jul 8, 2024 · Optimal Clustering in Wireless Sensor Networks for the Internet of Things Based on Memetic Algorithm: memeWSN. ",. Wireless Communications and ...