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通过建立无线传感器网络环境中的能耗模型,研究了高效能耗以及由路径损耗模型不同带来的数据干扰问题.采用二维网格分簇机制,其中簇头选举算法基于节点的剩余能量和随机退避时间,以一种高效且分散的方式使簇头在所有传感器节点中均匀轮换.节点除了在传输和接收数据过程中消耗能量,在干扰重传时也需要消耗额外的能量.根据平面几何学,通过分析和数学推导,得出网络的总能耗与分簇机制中的网格结构直接相关的结论,其中簇的大小决定传输范围,节点距离决定路径损耗指数,网络结构决定同时传输数据的节点产生的干扰总数.通过分析和仿真实验,提出了在无线传感器网络中优化的网格结构和对应的网格大小,从而在最大化降低能耗和最小化总体冲突之间达成平衡.
The energy consumption model in wireless sensor network environment is established to study the problem of high efficiency energy consumption and data interference caused by different path loss models.Using two-dimensional grid clustering mechanism, the cluster head election algorithm is based on the residual energy of nodes and Random back-off time, in an efficient and decentralized way to make cluster heads rotate evenly among all sensor nodes.Nodes not only consume energy in transmitting and receiving data, but also consume extra energy in interference retransmission.According to plane geometry Through analysis and mathematical derivation, the conclusion is drawn that the total energy consumption of the network is directly related to the grid structure in the clustering mechanism. The size of the cluster determines the transmission range, the node distance determines the path loss index, and the network structure decides to transmit data at the same time The total number of interference generated by the nodes.According to the analysis and simulation experiments, the optimal grid structure and corresponding grid size in wireless sensor networks are proposed, so as to strike a balance between minimizing energy consumption and minimizing the overall conflict.