对于具有不同节点初始能量的无线传感器网络的数据聚合算法
Zhenpeng Liu1,2, Jialiang Zhang1, Yi Liu2
1School of Cyber Security and Computer, Hebei University, Baoding, Hebei, China.
PeerJ. Computer science
|April 25, 2024
概括
具有不同初始能量的数据聚合 (DADIE) 通过考虑不同传感器能量水平来优化传感器网络. 这种新的算法减少了能源消耗和节点死亡率,以实现更高效的数据收集.
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:
- 传感器网络对于数据收集至关重要,但现有的算法假定传感器初始能量均,这是不现实的.
- 在实际的传感器网络中,初始能量水平的变化会对数据聚合效率和网络寿命产生重大影响.
研究的目的:
- 为具有异质初始能量水平的传感器网络提出一种新的算法,即不同初始能量数据聚合 (DADIE).
- 为了提高节能,保护隐私的效率,并降低这些网络中的节点死亡率.
主要方法:
- DADIE考虑了网络拓形成的传输距离和初始能量水平,限制了子节点.
- 聚合树在每一轮重建,优先考虑具有更高初始能量和接近接收器的节点.
- 使用安全的传输通道和切割和混合技术来增强网络安全.
主要成果:
- DADIE有效地减少了5-20%的通信开支和能源消耗.
- 与现有算法相比,安全性提高了10-20%,节点死亡率减少了10-30%.
- 实验模拟证实了DADIE在解决异质传感器网络中的数据聚合挑战方面的有效性.
结论:
- DADIE提供了一个实用的解决方案,用于在不同初始能量水平的传感器网络中进行数据聚合.
- 该算法显著提高了网络效率,安全性和寿命.
- 在关键绩效指标上,DADIE在现有方法上表现优越.
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