无线传感器网络节能路由协议的层次模糊方法

M. Prabha, M. Anbarasan, S. Sunithamani, Mrs. K. Saranya
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引用次数: 0

摘要

近年来,无线传感器网络被广泛应用于WBAN监控和跟踪等众多实时应用中。无线网络的最新发展已经产生了新的可靠方法来提高网络寿命、能源效率和可扩展性。采用常用的聚类技术对传感器网络进行管理,使整个无线传感器网络的功耗与单个传感器节点的能量水平密切相关。为了优化数据传输,本文采用模糊C均值算法,在考虑每个节点的可用能量和与基站的距离指标的同时,对簇头进行了深入的分析。本研究展示了如何谨慎选择簇头和节点聚类(将大型网络划分为较小的集群)可以提高网络的寿命。所提出的网络采用多跳路由方法,其中每个传感器节点可以独立收集和发送数据,以解决数据速率问题。本文对所提出的集群路由协议进行了1000轮数据传输测试,以验证其在网络寿命和能源效率方面的优缺点。每轮的簇头节点的选择、节点之间的距离以及后续数据传输所需的能量都被认为是随机的。仿真结果表明,该方法优于当前的路由技术,取得了良好的网络性能。此外,分层簇头选择的影响表明了我们的方法在未来WSN中使用的潜力。使用计算机模拟执行了以下测试,包括比较在采用节能路由协议之前和之后,网络寿命对增加的轮数的影响,以及检查网络寿命的性能指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hierarchical Fuzzy Methodologies for Energy Efficient Routing Protocol for Wireless Sensor Networks
In recent years, the wireless sensor networks are widely used in numerous real-time applications such as WBAN monitoring and tracking. Recent developments in wireless networks have given rise to new and reliable methods for enhancing network lifetime, energy efficiency, and scalability. The power consumption of the entire wireless sensor network and the energy level of each individual sensor node are closely related by the commonly used clustering technique to manage the sensor networks. In order to optimize data transmission, the fuzzy C means algorithm is employed in this article to thoroughly analyze the cluster head while considering the energy that is available in each node and distance metrics from the base station. This study demonstrates how carefully choosing cluster heads and node clustering, which divides large networks into smaller clusters, can enhance the lifespan of a network. The proposed network uses a multi-hop routing approach, where each sensor node can independently collect and send data in order to address the data rate issue. The suggested cluster routing protocol was put to the test with 1000 data transmission rounds to demonstrate its strengths and weaknesses in terms of network lifetime and energy efficiency. The choice of the cluster head node, the distance between the nodes, and the amount of energy needed for subsequent data transmission are all considered to be random for each round. The simulation results show that the suggested methodology beats cutting-edge routing techniques and achieves a promising network performance. Furthermore, the effects of hierarchical cluster head selection point to the potential of our method for use in WSN in the future. The following tests were performed using computer simulation, including comparing the effect of network life on the increased number of rounds before and after the influence of an energy-efficient routing protocol, and examining performance metrics for network lifetime.
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