作　　者： ;

机构地区： 广东科贸职业学院

出　　处： 《计算机科学》 2014年第S1期329-333,共5页

摘　　要： 无线传感器网络是由大量廉价、微小的传感器节点构成的,用于实时监测环境的无线自组织网络。由于无线传感器网络具有规模庞大、节点的计算和存储资源受限、网络拓扑动态不确定等特性,设计高性能的无线传感器网络常常会涉及传统的技术难以建模和求解的复杂优化问题。现代优化技术是一类新兴的具有较强全局搜索能力的启发式优化算法,是解决无线传感器网络中的复杂优化问题的有力工具。作者在研究现代优化技术在无线传感器网络中的主要应用领域,包括传感器节点的定位、网络节点的部署优化、网络覆盖优化、网络路由优化和数据融合问题的基础上,分析了现代优化技术在求解无线传感器网络中的复杂优化问题上的优缺点,并对该领域未来的发展趋势进行了展望。 The wireless sensor network is a wireless self-organizing network which is composed by a large number of cheap and tiny sensor nodes,for real-time monitoring of the environment.Due to the limitation of wireless sensor networks,such as the scale,the characteristics of the nodes of the computing and storage resource-constrained network topology dynamic uncertainty,the design of high-performance wireless sensor networks often involves difficulties in traditional techniques modeling and solving complex optimization problems.A modern optimization technique is an emerging powerful tool solving complex optimization problems in wireless sensor networks.It is a heuristic optimization algorithm containing strong global search capability.The main study area of the author is the application of modern optimization techniques in wireless sensor networks,which is the positioning of sensor nodes,the optimization of deployment of network nodes,the optimization of network coverage,network routing optimization and data integration.Base on the analysis of modern optimization techniques,the author concludes the advantages and disadvantages of solution of modern optimization techniques about complex optimization problems in wireless sensor networks,and also foresees the development trend of its future prospects.

关 键 词： 无线传感器 部署优化 覆盖优化 路由优化 数据融合

领　　域： [自动化与计算机技术] [自动化与计算机技术] [电子电信] [电子电信]