TY  - JOUR
T1  - Object Movement Prediction Technique for Cluster-Based Location Monitoring Technique in Mobile Computing Environment
AU - Kalaimani, G. AU - Geetha, B.G. 
JO  - Asian Journal of Information Technology
VL  - 15
IS  - 8
SP  - 1349
EP  - 1358
PY  - 2016
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2016.1349.1358
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2016.1349.1358
KW  - mobile computing environment
KW  -monitoring technique
KW  -cluster-based location
KW  -Movement prediction technique
KW  -(LUT)
AB  - Most of the location updation technique often causes delay in order to update the information and hence, results in congestion in the network. As the objects are mobile in the mobile computing environment, answer to the spatial queries loses their significance if there is any delay in query processing or in communication. In order to overcome these issues we design an object movement prediction technique in order to predict object movement proactively and hence the delay for location updation can be reduced. For this, we implement a prediction algorithm along with the updating approach that precompute the movement of object in order to avoid any kind of delay for location updation. Once the query result is received from cell, it is evaluated in the query result computation phase in order to find whether the result is precomputed or it is to be calculated by scratch. A Location Update Table (LUT) is implemented that helps in determining all the possible movement of query and issue a location update only if, it may affects any query result and enables a smart server probing technique in order to avoid any kind of overhead in the network.
ER  - 