Development and Coverage Evaluation of ZigBee-Based Wireless Network Applications

Table 1

Fusion algorithms comparison.

Classification		Title	Remarks
Classical fusion algorithm	Statistical method	Bias algorithm	Need a priori knowledge and need to meet more set conditions
		D-S theory
	Estimation method	Maximum likelihood estimation	The integrity of the data protection is good and applicable for high robustness applications
		Kalman filter
		Least squares
		Data fusion
New fusion algorithm	Information theory	Cluster analysis	No need for a priori conditions, but the computation is large and the energy consumption is high
	Artificial intelligence	Fuzzy estimation
		Neural network