Optimum Geometry Selection in Mobile Sensor Networks

In this paper, the optimum geometry selection of mobile sensor networks (MSN) based on receiving signal energy is derived. For illustration purpose, the performance of acoustic sensor network in the form of optimum geometry distribution is investigated and compared with that of random distributed sensor network. The simulation results show that the sensor network in the form of optimum geometry performs much better than in random distributed condition, and it is in good agreement with the theoretical results.

[1]  R.L. Moses,et al.  Locating the nodes: cooperative localization in wireless sensor networks , 2005, IEEE Signal Processing Magazine.

[2]  Yu Hen Hu,et al.  Energy based collaborative source localization using acoustic micro-sensor array , 2002, 2002 IEEE Workshop on Multimedia Signal Processing..

[3]  Yu Hen Hu,et al.  Energy-Based Collaborative Source Localization Using Acoustic Microsensor Array , 2003, EURASIP J. Adv. Signal Process..

[4]  Gee Wah Ng.  Application of fuzzy logic in multipassive acoustic tracking , 1999, Defense, Security, and Sensing.

[5]  Ivan Kadar.  Optimum geometry selection for sensor fusion , 1998, Defense, Security, and Sensing.

[6]  Sonia Martínez,et al.  Coverage control for mobile sensing networks , 2002, IEEE Transactions on Robotics and Automation.

[7]  F. Gustafsson,et al.  Mobile positioning using wireless networks: possibilities and fundamental limitations based on available wireless network measurements , 2005, IEEE Signal Processing Magazine.