为异质网络模型建模新型自优化狼优化器,用于能源和节点生命周期分析.
1School of Computing, Sathyabama Institute of Science and Technology, Deemed to be University; narla.mahendra@gmail.com.
Journal of visualized experiments : JoVE
|January 19, 2026
概括
这项研究使用修改后的自优化狼优化器 (SOWO) 路由协议来增强无线传感器网络 (WSN). 新方法提高了网络稳定性和剩余能量,延长了关键数据传输的运行寿命.
科学领域:
- 计算机科学 计算机科学
- 网络工程 网络工程
- 人工智能的人工智能
背景情况:
- 无线传感器网络 (WSN) 对于从危险环境传输数据至关重要.
- 在WSN中,均质路由协议面临着诸如高能耗和随着时间的推移而降低可靠性等挑战.
- 现有的协议在能源漏洞问题和平衡负载的持续网络运行方面扎.
研究的目的:
- 为WSNs开发一个节能的路由协议.
- 克服WSN中同质路由协议的局限性.
- 提高网络寿命和数据传输可靠性.
主要方法:
- 使用了一个修改后的自我优化狼优化器 (SOWO) 算法.
- 纳入了异质节点,根据剩余的能量选择集群头.
- 为了优化路由,实施了消除能量洞的战略.
主要成果:
- 拟议的路由方案显示出优越的网络稳定性和剩余能量.
- 与现有算法相比,网络稳定性得到了3.4%的改善,剩余能量得到了32.22%的改善.
- 该方法有效地平衡负载并延长网络寿命.
结论:
- 修改后的SOWO路由协议显著提高了WSN的性能.
- 能量洞消除方法和异质节点策略对于改善网络寿命是有效的.
- 这项研究为最大限度地提高WSN寿命和在能源限制下数据传输提供了强大的解决方案.
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