Optimality Analysis of Sensor-Source Geometries in Heterogeneous Sensor Networks

作者：Meng, Wei^*; Xie, Lihua; Xiao, Wendong

来源：IEEE Transactions on Wireless Communications, 2013, 12(4): 1958-1967.

DOI：10.1109/TWC.2013.021213.121269

• Cramer-Rao bound (CRB)
• Fisher information matrix (FIM)
• heterogeneous sensor network (HSN)
• wireless sensor network (WSN)
• source localization
• sensor placement

Source localization is an important application of wireless sensor networks (WSNs). Many types of sensors can be used for source localization, e. g., range sensors, bearing sensors and time-difference-of-arrival (TDOA) based sensors, etc. It is well known that relative sensor-source geometry can significantly affect the performance of any particular localization algorithm. Existing works in the literature mainly deal with geometry analysis for homogeneous sensors. However, in real applications, different types of sensors may be utilized for source localization. Hence, in this paper, we consider the optimal sensor placement problem in heterogeneous sensor networks (HSNs), where two types of sensors are deployed for source localization. Relative optimal sensor-source configurations with the minimum number of sensors for source localization are identified under the D-optimality criterion with potential extensions to the general case. Explicit characterizations of optimal sensor-source geometries are given for hybrid range and bearing sensors, hybrid bearing and TDOA based sensors as well as co-located hybrid range and bearing sensors, respectively. The results of this work can be applied to the sensor path planning problem for optimal source localization.

• 出版日期2013-4
• 单位南阳理工学院