Energy-Based Sound Source Localization with Low Power Consumption in Wireless Sensor Networks

• Published in: IEEE transactions on industrial electronics (1982) Vol. 64; no. 6; pp. 4894 - 4902
• Main Authors: Deng, Fang, Guan, Shengpan, Yue, Xianghu, Gu, Xiaodan, Chen, Jie, Lv, Jianyao, Li, Jiahong
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.06.2017; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Acoustics; Attenuation; Background noise; Battlefields; Correlation; Energy-based algorithm; Localization; low power consumption; Microphones; Multiple signal classification; path loss exponent; Power consumption; Power demand; Remote sensors; Robots; sound energy attenuation model; Sound localization; sound source localization; Sound sources; Weight; Wireless sensor networks
• ISSN: 0278-0046; 1557-9948
• DOI: 10.1109/TIE.2017.2652394

In this study, we show that the energy-based method of sound source localization can be successfully exploited for sound source localization under low power consumption conditions. Sound source localization is widely applied in battlefield environments where low power consumption is especially crucial and necessary for extending the lifespan of sensor nodes. We propose several variables that may (possibly) affect the path loss exponent. We provide data that shows that energy-based methods of sound source localization can accurately determine the appropriate path loss exponent and can improve localization accuracy. The results of our study also demonstrate that energy-based methods of sound source localization can significantly reduce localization errors by adjusting sensors' weight coefficients when ambient (background) noise exists. Our test results indicate that our method of source localization using low power consumption is consistently accurate and is able to determine sound source localization multiple times over an extended period.