Node placement optimization for distributed sensor network using adaptive genetic algorithm

Sensor placement is an important issue for distributed sensor network design, especially when it is used for collaborative tasks (e.g., source localization and tracking). In this paper, the averaged Cramer-Rao Lower Bound (CRLB) of TDOA-based sensor network localization system is derived at first in...

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Bibliographic Details

Published in:	2016 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) pp. 1 - 4
Main Authors:	Yan Qingli, Chen Jianfeng
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.08.2016
Subjects:	adaptive genetic algorithm Convergence CRLB Genetic algorithms Optimization sensor placement Signal processing Simulation Sociology source localization Statistics Time of Arrival
Online Access:	Get full text
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