In order to mitigate the problem of data congestion, increased latency, and high energy consumption in Wireless Sensor Networks (WSNs), Mobile Agent (MA) has been proven to be a viable alternative to the traditional client-server data gathering model. MA has the ability to migrate among network nodes based on an assigned itinerary, which can be formed via Single Itinerary Planning (SIP) or Multiple Itinerary Planning (MIP). MIP-based data gathering approach solves problems associated with SIP in terms of task duration, energy consumption, and reliability. However, the majority of existing MIP approaches focus only on reducing energy consumption and task duration, while the Event-to-sink throughput has not been considered. In this paper, a Clone Mobile-agent Itinerary Planning approach (CMIP) is proposed to reduce task duration while improving the Event-to-sink throughput in real-time applications, especially when the MA is assigned to visit a large number of source nodes. Simulation results show that the CMIP approach outperforms both Central Location-based MIP (CL-MIP) and Greatest Information in Greatest Memory-based MIP (GIGM-MIP) in terms of reducing task duration by about 56% and 16%, respectively. Furthermore, CMIP improves the Event-to-sink throughput by about 93% and 22% as compared to both CL-MIP and GIGM-MIP approaches, respectively.

中文翻译：

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CMIP：用于增强无线传感器网络中事件到接收吞吐量的克隆移动代理行程计划方法

为了减轻无线传感器网络（WSN）中的数据拥塞，增加的延迟和高能耗的问题，移动代理（MA）已被证明是传统客户端-服务器数据收集模型的可行替代方案。MA能够基于分配的路线在网络节点之间迁移，该路线可以通过单路线计划（SIP）或多路线计划（MIP）形成。基于MIP的数据收集方法从任务持续时间，能耗和可靠性方面解决了与SIP相关的问题。但是，大多数现有的MIP方法仅专注于降低能耗和任务持续时间，而未考虑事件到接收器的吞吐量。在本文中，提出了一种克隆移动代理行程计划方法（CMIP），以减少任务持续时间，同时提高实时应用程序中的事件到接收吞吐量，尤其是当MA被分配访问大量源节点时。仿真结果表明，在将任务持续时间分别减少约56％和16％方面，CMIP方法优于基于中央位置的MIP（CL-MIP）和基于最大内存的MIP中的最大信息（GIGM-MIP）。此外，与CL-MIP和GIGM-MIP方法相比，CMIP分别将事件到接收的吞吐量提高了约93％和22％。仿真结果表明，在将任务持续时间分别减少约56％和16％方面，CMIP方法优于基于中央位置的MIP（CL-MIP）和基于最大内存的MIP中的最大信息（GIGM-MIP）。此外，与CL-MIP和GIGM-MIP方法相比，CMIP分别将事件到接收的吞吐量提高了约93％和22％。仿真结果表明，在将任务持续时间分别减少约56％和16％方面，CMIP方法优于基于中央位置的MIP（CL-MIP）和基于最大内存的MIP中的最大信息（GIGM-MIP）。此外，与CL-MIP和GIGM-MIP方法相比，CMIP分别将事件到接收的吞吐量提高了约93％和22％。