Distributed version of hybrid swarm intelligence-Nelder Mead algorithm for DOA estimation in WSN

作者：

Highlights：

• Hybrid distributed SI - NM algorithms is investigated for DOA estimation in WSN.

• Distributed MEGWO-NM Algorithm reduces communication overhead and computation time.

• Combiner coefficients based on degree of sensor node is proposed.

• Distributed CRLB is derived to compare the performance of hybrid algorithms.

摘要

•Hybrid distributed SI - NM algorithms is investigated for DOA estimation in WSN.•Distributed MEGWO-NM Algorithm reduces communication overhead and computation time.•Combiner coefficients based on degree of sensor node is proposed.•Distributed CRLB is derived to compare the performance of hybrid algorithms.

论文关键词：Swarm intelligence,Grey wolf optimization,Nelder-Mead simplex search method,Distributed DOA estimation,Wireless sensor networks

论文评审过程：Received 10 January 2019, Revised 12 November 2019, Accepted 28 November 2019, Available online 5 December 2019, Version of Record 13 December 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.113112