Mobile Agent (MA) technology brings many benefits into Wireless Sensor Networks (WSNs), such as saving network bandwidth and enabling energy efficient mechanisms for collecting sensor data. Nowadays, itinerary planning for MAs is one of the most important features of the WSN. However, the way in which all dispatched MAs are routed inside the sensor networks must be intelligently planned to reduce energy consumption and improve information accuracy. There have been many research efforts designing itinerary planning algorithms to deploy multiple MAs in a given sensor network, where routes are generated so that MAs can follow different routes to collect data from sensor nodes efficiently and effectively. This paper proposes a new energy efficient Graph-based Static Mutli-Mobile Agent Itinerary Planning approach (GSMIP). GSMIP applies Directed Acyclic Graph (DAG) related techniques and divide sensor nodes into different groups based on the routes defined by MAs itineraries. MAs follow the predefined routes and only collect data from the groups they are responsible for. The experimental findings demonstrate the effectiveness and superiority of the proposed approach compared to the existing approaches in terms of energy consumption and task delay (time).

移动代理 (MA) 技术为无线传感器网络 (WSN) 带来了许多好处，例如节省网络带宽和启用用于收集传感器数据的节能机制。如今，MA 的行程规划是 WSN 最重要的功能之一。然而，所有调度的 MA 在传感器网络内的路由方式必须进行智能规划，以降低能耗并提高信息准确性。已经有许多研究工作设计了路线规划算法，以在给定的传感器网络中部署多个 MA，其中生成了路线，以便 MA 可以遵循不同的路线以高效和有效地从传感器节点收集数据。本文提出了一种新的高效节能的基于图形小号tatic中号utli，移动Agent我tinerary P兰宁办法（GSMIP）。GSMIP 应用有向无环图 (DAG) 相关技术，并根据 MA​​ 行程定义的路线将传感器节点划分为不同的组。MA 遵循预定义的路线，并且仅从它们负责的组中收集数据。实验结果证明了所提出的方法在能耗和任务延迟（时间）方面与现有方法相比的有效性和优越性。