Energy-Efficient Constant Gain Kalman Filter Based Tracking in Wireless Sensor Network

Table 1

Comparative study of target tracking algorithms in WSN.

Authors, year	Mechanism	Tracking accuracy	Energy consumption	Boundary node solution	Mobility of BS
Olule et al., 2007 [5]	Clustering	Less	Moderate	No	No
Dayana Pravin and Vijeyakumar, 2012 [6]	Clustering & prediction	Moderate	Low	No	No
Hosseini et al., 2013 [7]	Clustering & prediction	Moderate	High	No	No
Deldar and Yaghmaee, 2011 [8]	Clustering & prediction	Moderate	Moderate	No	No
Misra et al., 2015 [9]	Clustering & prediction	High	Moderate	No	No
Wang et al., 2010 [10]	Clustering	High	High	Yes	No
Hajiaghajani et al., 2012 [11]	Clustering	High	High	Yes	No
Hajiaghajani et al., 2013 [12]	Clustering	High	High	Yes	No
Akter et al., 2015 [13]	Clustering	High	High	Yes	No
Imran and Ko, 2017 [14]	Clustering & prediction	High	High	Yes	No
Vasuhi and Vaidehi, 2016 [15]	Prediction	High	High	No	No
Vázquez and Míguez, 2017 [16]	Prediction	High	Moderate	No	No
Jain et al., 2004 [17]	Prediction	Moderate	Moderate	No	No
Wang et al., 2012 [18]	Prediction	Moderate	Moderate	No	No
Shantaiya et al., 2015 [19]	Prediction	High	Moderate	No	No
Mahfouz et al., 2014 [20]	Prediction	High	Low	No	No
Karthika and Ramalakshmi, 2013 [21]	Clustering & prediction	Moderate	High	No	No