摘要
高架立体冷库空间范围大、内部结构比较复杂,在使用传统无线组网技术对其进行温湿度监测时,通常存在组网方式复杂、功耗高的问题。以BLE Mesh组网方式为基础,通过构建节点能量模型,对传统LEACH算法进行针对性的优化,提出一种基于节点能量均衡的分簇组网算法(EBBM)。该算法主要对冷库温湿度监测网络中的节点功耗进行优化。Matlab仿真分析对比结果显示,该算法降低了网络中的数据包冗余程度,使节点存活率提高了17.8%,具有一定的应用价值。
Due to the large spatial range and complex internal structure of elevated stereoscopic cold storage,traditional wireless networking technologies often face challenges such as complex networking methods and high power consumption when monitoring temperature and humidity.Based on BLE Mesh networking,this paper proposes an energy-balanced clustering networking algorithm(EBBM),which is targetedly optimizing the traditional LEACH algorithm by constructing a node energy model.The algorithm mainly optimizes the node power consumption in the cold storage temperature and humidity monitoring network.The comparison results from Matlab simulation analysis demonstrate that this algorithm reduces the degree of data packet redundancy in the network and makes the node survival rate increased by 17.8%,indicating its practical application value.
作者
曹生灿
赵珂
王忠
CAO Sheng-can;ZHAO Ke;WANG Zhong(School of Information Engineering,Nanchang Hangkong University,Nanchang 330063,China)
出处
《南昌航空大学学报(自然科学版)》
CAS
2024年第2期104-109,共6页
Journal of Nanchang Hangkong University(Natural Sciences)
基金
国家自然科学基金(AA201204211)
南昌航空大学研究生创新专项(YC2022-s729)。
关键词
高架立体冷库
BLE
Mesh
温湿度监测
能量均衡
elevated stereoscopic cold storage
BLE Mesh
temperature and humidity monitoring
energy balance