Abstract

In wireless sensor networks (WSNs), mobile agent (MA) is a new paradigm that has gained more attention lately. In this paradigm, MA migrates among sensor nodes (SNs) for data fusion. However, in comparison to traditional client/server paradigm; where each SN in the network sends its collected data to the sink, MA presents a good alternative in terms of energy consumption, response time and network lifetime. In this paradigm, the most critical properties of MA is the itinerary planning, it has always been an issue and a NP-hard problem. In this paper, we present a survey of the proposed itinerary planning approaches for MAs in WSNs. MA itinerary planning techniques can be classified into three categories: static itinerary planning, dynamic itinerary planning and hybrid itinerary planing. The benefits and shortcomings of different MA itinerary planning approaches are presented. Furthermore, we implement, simulate and compare the most prominent itinerary planning algorithms upon a common parameter space, making realistic network-level assumptions.

中文翻译：

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无线传感器网络中信息融合的移动Agent行程规划研究

摘要

在无线传感器网络（WSN）中，移动代理（MA）是一种新的范例，近来受到越来越多的关注。在此范例中，MA在传感器节点（SN）之间迁移以进行数据融合。但是，与传统的客户端/服务器范例相比；在网络中每个SN将其收集的数据发送到接收器的情况下，MA在能耗，响应时间和网络寿命方面提供了一个很好的选择。在这种范式中，MA的最关键特性是行程计划，这一直是一个问题，也是一个NP难题。在本文中，我们对WSN中MA的拟议行程规划方法进行了调查。MA的行程计划技术可以分为三类：静态行程计划，动态行程计划和混合行程计划。介绍了不同的MA行程计划方法的优点和缺点。此外，我们在公共参数空间上实现，模拟和比较最杰出的行程计划算法，并做出了现实的网络级假设。