基于集群的异构无线传感器网络中不同数据的配对算法

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Zahida Shaheen, Kashif Sattar, Mukhtar Ahmed
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引用次数: 0

摘要

在无线传感器网络(WSN)中,聚类被用来延长网络的寿命。每个簇都有一个指定的簇头。配对是聚类中另一种用于延长网络寿命的技术。在这种技术中,节点会被成对分组,其中一个节点处于活动状态,另一个节点处于休眠状态,以节省能量。然而,这种配对可能会导致与簇头的通信问题,因为处于睡眠模式的节点无法传输数据,有可能造成数据丢失。为解决这一问题,本研究引入了一种创新方法,即 "唤醒睡眠异构节点配对"(ASHNP)算法。该算法旨在提高在异构环境中运行的 WSN 的传输效率。相比之下,高能效睡眠觉醒(EESAA)算法是为同质环境定制的(EESAA),虽然适合同质环境,但在处理睡眠节点的数据丢失方面遇到了挑战。另一方面,能量和流量感知睡眠唤醒算法(ETASA)则在监听问题上苦苦挣扎,限制了其在不同环境中的效率。通过综合比较分析,ASHNP 在数据传输效率方面表现出更高的性能,克服了 EESAA 和 ETASA 的缺点。此外,通过对各种参数(包括能耗和死节点数量)的比较,ASHNP 在提高网络可靠性和资源利用率方面的有效性也得到了凸显。这些发现强调了 ASHNP 作为优化 WSN(尤其是异构环境中的 WSN)数据传输的一种有前途的解决方案的重要性。分析表明,ASHNP 在保持节点能量方面可靠地优于 EESAA,在不同轮次中的差异从 1.5% 到 10% 不等。具体来说,ASHNP 的数据传输速率比 EESAA 高 5.23%,比 ETASA 高 21.73%。这些发现强调了 ASHNP 在维持节点活动水平方面的优势,展示了它在维护网络完整性和确保多轮高效数据传输方面的优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pairing algorithm for varying data in cluster based heterogeneous wireless sensor networks
In wireless sensor networks (WSNs), clustering is employed to extend the network’s lifespan. Each cluster has a designated cluster head. Pairing is another technique used within clustering to enhance network longevity. In this technique, nodes are grouped into pairs, with one node in an active state and the other in a sleep state to conserve energy. However, this pairing can lead to communication issues with the cluster head, as nodes in sleep mode cannot transmit data, potentially causing data loss. To address this issue, this study introduces an innovative approach called the “Awake Sleep Heterogeneous Nodes’ Pairing” (ASHNP) algorithm. This algorithm aims to improve transmission efficiency in WSNs operating in heterogeneous environments. In contrast, Energy Efficient Sleep Awake Aware (EESAA) algorithm are customized for homogeneous environments (EESAA), while suitable for homogeneous settings, encounters challenges in handling data loss from sleep nodes. On the other hand, Energy and Traffic Aware Sleep Awake (ETASA) struggles with listening problems, limiting its efficiency in diverse environments. Through comprehensive comparative analysis, ASHNP demonstrates higher performance in data transmission efficiency, overcoming the shortcomings of EESAA and ETASA. Additionally, comparisons across various parameters, including energy consumption and the number of dead nodes, highlight ASHNP’s effectiveness in enhancing network reliability and resource utilization. These findings underscore the significance of ASHNP as a promising solution for optimizing data transmission in WSNs, particularly in heterogeneous environments. The analysis discloses that ASHNP reliably outperforms EESAA in maintaining node energy, with differences ranging from 1.5% to 10% across various rounds. Specifically, ASHNP achieves a data transmission rate 5.23% higher than EESAA and 21.73% higher than ETASA. These findings underscore the strength of ASHNP in sustaining node activity levels, showcasing its superiority in preserving network integrity and ensuring efficient data transmission across multiple rounds.
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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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