在无线传感器网络中使用灰狼优化和增强的CSMA/CA进行节能集群.
Mohammed Kaddi1, Mohammed Omari2, Khouloud Salameh2
1LDDI Laboratory, Mathematics and Computer Science Department, University of Adrar, Adrar 01000, Algeria.
Sensors (Basel, Switzerland)
|August 29, 2024
概括
本研究介绍了使用灰狼优化 (GWO) 的无线传感器网络 (WSN) 的能源优化方法 (EOAMRCL). 它显著提高了网络寿命,并降低了能源消耗.
科学领域:
- 计算机科学 计算机科学
- 电气工程 电气工程
- 网络工程 网络工程
背景情况:
- 无线传感器网络 (WSN) 面临着影响生存能力的关键能源限制.
- 在满足应用目标的同时延长网络寿命对于WSN至关重要.
研究的目的:
- 为WSNs提供一种使用多目标灰狼优化 (EOAMRCL) 的能源优化方法.
- 通过最佳的职责周期调度,传输功率和路由路径来提高能源效率.
主要方法:
- 采用了一个集中的,分层的网络架构.
- 集成了灰狼优化 (GWO) 来确定最佳集群头 (CH).
- 使用了一个增强的CSMA/CA机制,具有休眠/激活模式和节点配对.
主要成果:
- 与现有协议相比,EOAMRCL在网络寿命和能源消耗方面表现优越.
- 这种方法有效地减少了碰撞,并提高了通道评估的准确性.
- 优化了工作周期调度和路由路径,从而大大节省了能源.
结论:
- 整合GWO和增强的CSMA/CA机制是优化WSN能源效率的有效途径.
- EOAMRCL显著延长了网络寿命,并降低了WSNs的能源消耗.
- 拟议的方法为能源受限制的WSN应用提供了强大的解决方案.
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