计算机工程

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无线传感器网络中高效建立干扰模型的研究

向亦宏,朱燕民   

  1. (上海交通大学计算机科学与工程系,上海 200240)
  • 收稿日期:2013-09-11 出版日期:2014-08-15 发布日期:2014-08-15
  • 作者简介:向亦宏(1989-),男,硕士,主研方向: 无线传感器网络;朱燕民,副教授。
  • 基金项目:
    国家自然科学基金资助面上项目(61170238)。

Research on Efficient Building of Interference Modelsin Wireless Sensor Network

XIANG Yi-hong,ZHU Yan-min   

  1. (Department of Computer Science and Engineering,Shanghai Jiaotong University,Shanghai 200240,China)
  • Received:2013-09-11 Online:2014-08-15 Published:2014-08-15

摘要: 精准描述无线传感器网络(WSN)中受干扰节点的性能,对拥塞控制和速率分配等无线协议的有效运作具有重要意义。研究表明物理模型(PRR-SINR模型)在现有干扰模型中准确率较高,为此,分别提出集中式和分布式算法用于建立WSN节点的PRR-SINR模型。集中式算法通过一个中心节点控制节点收发测量包,使每个节点可以进行逐步建模;分布式算法则依赖每个节点自主控制收发包状况进行建模。在含有17个TelosB节点的WSN中对算法进行性能评估,结果表明,2种算法均能在保证高精确度的情况下,快速、低开销地对网络中的所有节点建立PRR-SINR模型。

关键词: 无线干扰, 干扰建模, 物理模型, 无线传感器网络, 集中式算法, 分布式算法

Abstract: Measuring the performance of those nodes in Wireless Sensor Network(WSN) suffering from interference is meaningful for protocols such as congestion control and link scheduling.Recent studies suggest that the physical model(PRR-SINR model) is significantly more accurate than existing interference models.This paper proposes a central algorithm and a distributed algorithm to build the PRR-SINR model for every node in a WSN respectively.The central algorithm uses a node to send commands to tell other nodes in the network when to receive/broadcast measurement packets.Thereby each node will build the PRR-SINR model according to the commands.In the distributed algorithm,however,each node builds the model all by itself.This paper evaluates the two algorithms in a network which is composed of 17 TelosB nodes.Experimental result shows that the models built by both of the proposed algorithms achieve high accuracy,while the overhead is significantly low.

Key words: wireless interference, interference modeling, physical model, Wireless Sensor Network(WSN), central algorithm;distributed algorithm 

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