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Energy efficient decision fusion for differential space-time block codes in wireless sensor networks
Indian Journal of Pure & Applied Physics ( IF 0.7 ) Pub Date : 2020-03-20
M Kanthimathi, R Amutha, D Vaithiyanathan, S Somesh Sharma

The non-coherent techniques that do not require the channel state information have gained significant interest especially when multiple transmitter and receiver nodes are involved in communication. In this paper, we analyze the energy efficiency of differential and coherent cooperative Multiple-input Multiple-output (MIMO) method using space-time block codes (STBC). We exploit the benefits of the extension of the observation interval of differential STBC to three blocks in Wireless sensor networks (WSNs). We propose an energy efficient decision fusion (EEDF) algorithm in WSNs which utilizes the benefits of Multiple symbol differential detection (MSDD) decision fusion by optimally selecting the ring amplitude of the differential amplitude phase shift keying (DAPSK) constellation. The simulation results show that processing differential multiple symbols provides significant energy saving compared to the conventional two-symbol processing. Furthermore, significant performance gain is achieved for the proposed algorithm compared to 16 DPSK MSDD decision fusions.

中文翻译:

无线传感器网络中差分时空分组码的节能决策融合

不需要信道状态信息的非相干技术引起了极大的兴趣,特别是在通信中涉及多个发射机和接收机节点时。在本文中,我们分析了使用空时分组码(STBC)的差分和相干协作多输入多输出(MIMO)方法的能效。我们利用将差分STBC的观察间隔扩展到无线传感器网络(WSN)中的三个块的好处。我们提出了一种在无线传感器网络中的高效节能决策融合(EEDF)算法,该算法通过最佳选择差分幅度相移键控(DAPSK)星座图的环形幅度来利用多符号差分检测(MSDD)决策融合的优势。仿真结果表明,与常规的两个符号处理相比,处理差分多个符号可节省大量能源。此外,与16个DPSK MSDD决策融合相比,该算法可显着提高性能。
更新日期:2020-03-20
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