对物联网中的关键节点进行智能无线充电路径优化 - - 集成可再生传感器网络
Nelofar Aslam1, Hongyu Wang1, Muhammad Farhan Aslam2
1School of Information and Communication Engineering, Dalian University of Technology, Dalian 116024, China.
Sensors (Basel, Switzerland)
|November 27, 2024
概括
无线传感器网络面临着电池的限制. 一种新的无线便携式充电设备群优化 (WPCD-ACO) 方法优化了充电路径,大大降低了能源消耗,并延长了网络寿命.
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) 对于物联网 (IoT) 是至关重要的,它可以实现广泛的数据采集.
- 在WSN节点中的有限电池寿命阻碍了长期的可扩展性和可持续性.
- 无线电力传输为充电节点提供了一种解决方案,但会产生具有关键能量水平的"瓶节点".
研究的目的:
- 通过优化无线便携式充电设备 (WPCD) 的充电路径来解决WSN中的瓶节点问题.
- 为了提高网络稳定性和最大限度地减少WSNs的能源消耗,利用无线电力传输.
主要方法:
- 使用殖民地优化 (WPCD-ACO) 为WPCD的旅行路径制定一个优化问题.
- 将由线性编程管理的时间变化的"z"阶段集成到目标函数中,以解决瓶节点.
- 通过网关节点对物联网云进行连续的能量水平监测和中继.
主要成果:
- WPCD-ACO实现了6092米的停机最佳距离,超过了最短路径 (7225米) 和Dijkstra的算法 (6142米).
- WPCD-ACO将能源消耗降至1.543 KJ,明显优于单跳 (4.8643 KJ),GR-Protocol (3.165 KJ),电网集群 (2.4839 KJ) 和C-SARSA (2.5869 KJ).
- 蒙特卡洛模拟证实了WPCD-ACO在网络寿命,稳定性,传感器节点存活率和能源效率方面的优势.
结论:
- 拟议的WPCD-ACO方法有效地解决了WSN中的瓶节点挑战.
- 与现有方法相比,WPCD-ACO在能源效率和网络寿命方面取得了显著的改善.
- 这种优化策略提高了支持物联网的WSN的整体性能和可持续性.
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