基于负载均衡的无线传感器网络数据采集算法

Guan Xin, L. Guan
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引用次数: 6

摘要

无线传感器网络具有集中数据采集、多跳通信和多对一业务模式的特点。这三种特性会导致严重的报文碰撞、网络拥塞和丢包,甚至产生能量消耗热点,从而导致传感器节点和整个网络的过早死亡。提出的负载均衡数据采集算法根据传感器节点到基站的距离将传感器节点划分为不同的级别。根据能量度量和通信成本,在传感器节点和接收器之间建立多条路径。除了最小能量路径外,该算法偶尔会使用次优路径。为了节约能源,还采用了数据聚合方案。分析和仿真结果表明,该算法使节点间的能量消耗更加均匀,延长了网络的生存期。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data Gathering Algorithm Based Load Balance for Wireless Sensor Networks
Wireless sensor networks are characterized by centralized data gathering, multi-hop communication and many to one traffic pattern. These three characteristics can lead to severe packet collision, network congestion and packet loss, and even result in hot-spots of energy consumption thus causing premature death of sensor nodes and entire network. The proposed load balance data gathering algorithm classifies sensor nodes into different levels according to their distance to base station. Multiple paths are established between sensor node and sink depending on the energy metric and communication cost. This algorithm uses sub-optimal paths occasionally besides the minimum energy path. In order to save energy, data aggregation scheme is adopted as well. Analysis and simulation results show that the proposed algorithm provides more uniform energy consumption among nodes and can prolong network lifetime.
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