In recent years, the need to deploy Wireless Sensor Networks increases in different applications. Several studies have been proposed to demonstrate the importance to use Mobile Data Collectors (MDC) in Wireless sensor Networks. The main goal of this paper is to reduce the energy consumption of sensor nodes and to extend the network lifetime. In this paper, we propose to construct a Minimum Spanning tree, we design a fuzzy Cluster Head election system to elect the best sensor nodes as Cluster Heads, considering two input parameters, namely the weight of Sensor Nodes (WoSN) and the State of Sensor Node Locations (SoSNLoc). To extend the network lifetime, a subset of MDCs travels the area to gather the sensed data from nodes instead of sending them directly to the Base Station (BS) in a single hop or multi-hop manner. The BS is located at the center of the area which will be divided into sub-regions, one for each MDC. According to their positions, each CH will belong to a specific region, and then will be visited by the corresponding MDC. Simulation results show the effectiveness of our proposed algorithm in terms of energy consumption and network lifetime in comparison with other ones.

近年来，在不同的应用程序中部署无线传感器网络的需求不断增加。已经提出了一些研究来证明在无线传感器网络中使用移动数据收集器（MDC）的重要性。本文的主要目的是减少传感器节点的能耗并延长网络寿命。在本文中，我们建议构造一个最小生成树，设计一个模糊的簇头选举系统，以选择最佳传感器节点作为簇头，同时考虑两个输入参数，即传感器节点的权重（WoSN）和传感器的状态节点位置（SoSNLoc）。为了延长网络寿命，MDC的子集会经过该区域以从节点收集感测到的数据，而不是以单跳或多跳的方式将其直接发送到基站（BS）。BS位于该区域的中心，该区域将分为多个子区域，每个MDC区域一个。根据它们的位置，每个CH将属于一个特定区域，然后由相应的MDC进行访问。仿真结果表明，与其他算法相比，本文提出的算法在能耗和网络寿命方面是有效的。