Improving Data Communication of Wireless Sensor Network Using Energy Efficient Adaptive Cluster-Head Selection Algorithm for Secure Routing

被引:0
作者
S. Vijayalakshmi
G. Kavithaa
N. V. Kousik
机构
[1] Sona College of Technology,Department of ECE
[2] Government College of Engineering,Department of Electronics and Communication Engineering
[3] Stanmore College,Department of Computing and IT
来源
Wireless Personal Communications | 2023年 / 128卷
关键词
Cluster heads; Energy efficient adaptive cluster-head selection algorithm; Life time; Wireless sensor networks;
D O I
暂无
中图分类号
学科分类号
摘要
Energy, delay and distance are the most important parameters in the WSN (Wireless Sensor Network) suitable for cluster head selection. Only the neighboring terminals communicate with the cluster head, and then, the package material information is transmitted to the base station, thereby the energy and lifetime associated with the sensor node and all neighboring nodes in the Cluster Head Selection (CHS) are extended. Analysis based on efficient routing reveals that the previous method has often changed the link or failed, because, unstable topographic network has been a big challenge.In this model,Energy-Efficient Adaptive Cluster-Head Selection Algorithm (EEACHS) is introduced which is selected based on the remaining energy dynamically designed to change the role of the integrated cluster, thereby, energy consumption of the entire network under the ground is balanced.The Energy-Efficient Adaptive Cluster-Head Selection Algorithm (EEACHS) adapts to the energy load and distributes the rotating cluster head positions between all the nodes in the cluster. This means that the probability of each node is relocated and the remaining energy level of the sensor is extended based on the cluster node network. An energy efficient network model is introduced which can translate mobile BS (Base Station) into a cluster-based network infrastructure using the proposed algorithm. The simulation results reveal that high energy efficiency is very helpful to extend the life of the network.
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页码:25 / 42
页数:17
相关论文
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