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无线传感器网络中的协作 MIMO 通信:一种纠错码方法。

Cooperative MIMO communication at wireless sensor network: an error correcting code approach.

机构信息

Electrical and Electronic Engineering Department, Islamic University of Technology, Boardbazar, Gazipur 1704, Dhaka, Bangladesh.

出版信息

Sensors (Basel). 2011;11(10):9887-903. doi: 10.3390/s111009887. Epub 2011 Oct 20.

Abstract

Cooperative communication in wireless sensor network (WSN) explores the energy efficient wireless communication schemes between multiple sensors and data gathering node (DGN) by exploiting multiple input multiple output (MIMO) and multiple input single output (MISO) configurations. In this paper, an energy efficient cooperative MIMO (C-MIMO) technique is proposed where low density parity check (LDPC) code is used as an error correcting code. The rate of LDPC code is varied by varying the length of message and parity bits. Simulation results show that the cooperative communication scheme outperforms SISO scheme in the presence of LDPC code. LDPC codes with different code rates are compared using bit error rate (BER) analysis. BER is also analyzed under different Nakagami fading scenario. Energy efficiencies are compared for different targeted probability of bit error p(b). It is observed that C-MIMO performs more efficiently when the targeted p(b) is smaller. Also the lower encoding rate for LDPC code offers better error characteristics.

摘要

无线传感器网络 (WSN) 中的协作通信通过利用多输入多输出 (MIMO) 和多输入单输出 (MISO) 配置,探索了多个传感器和数据收集节点 (DGN) 之间的节能无线通信方案。在本文中,提出了一种节能协作 MIMO (C-MIMO) 技术,其中使用低密度奇偶校验 (LDPC) 码作为纠错码。通过改变消息和奇偶校验位的长度来改变 LDPC 码的速率。仿真结果表明,在存在 LDPC 码的情况下,协作通信方案优于 SISO 方案。使用误码率 (BER) 分析比较了具有不同码率的 LDPC 码。还在不同的 Nakagami 衰落场景下分析了 BER。针对不同的目标误比特概率 p(b) 比较了能量效率。当目标 p(b) 较小时,C-MIMO 表现出更高的效率。此外,LDPC 码的较低编码速率提供了更好的误差特性。

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