基于运筹学的无线传感器网络技术

A. Mahlous, M. Tounsi
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引用次数: 3

摘要

近年来,人们对无线传感器网络(WSNs)的开发和设计越来越感兴趣。无线传感器网络由大量节点组成,具有无线通信和计算能力,可用于各种领域。它已用于与监测和收集数据直接接触的领域,仅举几例,如卫生监测、军事监测、地质监测(地震、火山、海啸)、农业控制等。然而,由于传感器节点的功率限制、部署和定位、数据路由和数据聚合、数据安全、有限的带宽、存储容量和网络管理,wsn的设计和实现面临许多挑战。众所周知,运筹学(OR)已广泛应用于不同领域的优化问题;例如提高网络性能和最大化系统寿命。在本研究中,我们介绍了最新的基于OR的技术,用于解决不同的无线传感器网络问题:节点调度问题,能量管理问题,节点分配问题和其他与无线传感器网络相关的复杂问题。不同的运筹学技术在这里提出并详细讨论,包括基于图论的技术,线性规划和混合整数规划相关的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Operation Research Based Techniques in Wireless Sensors Networks
In recent years, we have seen an increasing interest in developing and designing Wireless Sensor Networks (WSNs). WSNs consist of large number of nodes, with wireless communications and computation abilities that can be used in variety of domains. It has been used in areas that have direct contact with monitoring and gathering data, to name few, health monitoring, military surveillance, geological monitoring (Earthquakes, Volcanoes, Tsunami), agriculture control and many more. However, the design and implementation of WSNs face many challenges, due to the power limitation of sensor nodes, deployment and localization, data routing and data aggregation, data security, limited bandwidth, storage capacity and network management. It is known that Operation Research (OR) has been widely used in different areas to solve optimization problems; such as improving network performance and maximizing lifetime of system. In this survey, we present the most recent OR based techniques applied to solve different WSNs problems: the node scheduling problem, energy management problems, nodes allocating issues and other WSNs related complex problems. Different Operational Research techniques are presented and discussed in details here, including graph theory based techniques, linear programing and mixed integer programming related approaches.
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