Wireless sensor network (WSN) is used to sense the environment, collect the data, and further transmit it to the base station (BS) for analysis. A synchronized tree-based approach is an efficient approach to aggregate data from various sensor nodes in a WSN environment. However, achieving energy efficiency in such a tree formation is challenging. In this research work, an algorithm named fuzzy attribute-based joint integrated scheduling and tree formation (FAJIT) technique for tree formation and parent node selection using fuzzy logic in a heterogeneous network is proposed. FAJIT mainly focuses on addressing the parent node selection problem in the heterogeneous network for aggregating different types of data packets to improve energy efficiency. The selection of parent nodes is performed based on the candidate nodes with the minimum number of dynamic neighbors. Fuzzy logic is applied in the case of an equal number of dynamic neighbors. In the proposed technique, fuzzy logic is first applied to WSN, and then min–max normalization is used to retrieve normalized weights (membership values) for the given edges of the graph. This membership value is used to denote the degree to which an element belongs to a set. Therefore, the node with the minimum sum of all weights is considered as the parent node. The result of FAJIT is compared with the distributed algorithm for Integrated tree Construction and data Aggregation (DICA) on various parameters: average schedule length, energy consumption data interval, the total number of transmission slots, control overhead, and energy consumption in the control phase. The results demonstrate that the proposed algorithm is better in terms of energy efficiency.

无线传感器网络（WSN）用于感测环境，收集数据并将其进一步传输到基站（BS）进行分析。基于同步树的方法是一种聚合WSN环境中来自各个传感器节点的数据的有效方法。然而，以这种树的形式实现能量效率是具有挑战性的。在这项研究工作中，提出了一种在异构网络中使用模糊逻辑进行树形成和父节点选择的基于模糊属性的联合集成调度和树形成（FAJIT）算法。FAJIT主要致力于解决异构网络中的父节点选择问题，以聚合不同类型的数据包以提高能源效率。基于具有最少动态邻居数量的候选节点来执行父节点的选择。在动态邻居数量相等的情况下应用模糊逻辑。在提出的技术中，首先将模糊逻辑应用于WSN，然后使用最小-最大归一化来检索图的给定边缘的归一化权重（成员值）。该隶属度值用于表示元素属于集合的程度。因此，将所有权重之和最小的节点视为父节点。将FAJIT的结果与分布式树结构和数据聚合（DICA）分布式算法在各种参数上进行比较：平均调度长度，能耗数据间隔，传输时隙总数，控制开销，和控制阶段的能耗。结果表明，该算法在能量效率方面更好。