Performance analysis of LT codes and BCH codes in RF and FSO Wireless Sensor Networks

Advances in Computing, Communications and Informatics(2014)

引用 7|浏览9
暂无评分
摘要
Free Space Optical (FSO) Wireless Sensor Networks (WSN) are immune to electromagnetic interference, license-free and are characterized by high bandwidth and ease of deployment. They face a major drawback in turbulent atmospheres. So, we consider hybrid FSO/RF energy-aware WSN with reliable data communication using ECC (Error Control Coding) methods. LT codes are a class of rateless codes used for recovering data from the transmitted symbols, which are prone to erasure. They are normally applied for packet recovery in high packet loss scenarios. In this paper, we implement LT codes for Forward Error Correction (FEC). We consider BPSK subcarrier intensity modulated FSO communication where a method of discarding weak symbols received, is employed with an optimal erasure zone as a pre-processing stage in LT decoder. We determine the optimal symbol-erasure zone and also impose an upper bound on BPSK threshold. The performances of LT codes and BCH codes are analysed for FSO and RF channel under different atmospheric conditions and link ranges. We consider energy consumption per bit as a performance metric for comparison. The proposed method for LT codes was observed to be more energy-efficient than BCH code in highly turbulent atmospheric conditions.
更多
查看译文
关键词
error correction codes,forward error correction,optical communication,phase shift keying,wireless sensor networks,BCH codes,BPSK subcarrier intensity modulated FSO communication,ECC,FEC,FSO wireless sensor networks,LT codes,RF wireless sensor networks,electromagnetic interference,error control coding method,forward error correction,free space optical wireless sensor networks,optimal erasure zone,turbulent atmospheres,Atmospheric turbulence,BPSK threshold,Energy efficiency,Erasure zone,Free Space Optics,Luby Transform codes,RF channel,Wireless sensor network
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要