Title
Framework for optimizing cluster selection using geo-assisted movement prediction
Abstract
Due to the availability of satellite- and radio-based location systems in most new devices, it is possible to use geographical location of a node for network management and communication protocol optimization. It is a common belief that usage of location information can bring performance benefits. However, inaccuracy and delay in obtaining such information, together with an associated overhead, can have a negative impact. In this paper we have considered a particular case of usage of location information, namely for cluster selection in mobile networks and have analyzed the impact of inaccurate movement prediction and inaccurate location estimation on its performance. The proposed algorithm is compared with two reference algorithms: when a considered node associates with either the first discovered cluster or the nearest cluster. Evaluation shows significant performance benefits in terms of average connectivity time to a cluster head and reduced overhead in case of exact future trajectory prediction. Under more realistic scenarios where location estimation or movement prediction are not perfect, performance benefits are reduced. This emphasizes the need for good movement prediction module if location-based schemes should be implemented in products.
Year
DOI
Venue
2012
10.1109/ISCCSP.2012.6217845
ISCCSP
Keywords
Field
DocType
mobile satellite communication,mobility management (mobile radio),optimisation,protocols,cluster head,cluster selection optimization,communication protocol optimization,geo-assisted movement prediction,location estimation,location information,location-based schemes,mobile networks,network management,radio-based location systems,satelite-based location systems,clustering algorithms,mobile computing,estimation,mobile network,mobile communication,communication protocol,mobile computer,mathematical model,prediction algorithms,trajectory
Mobile computing,Location,Computer science,Real-time computing,Network management,Cluster analysis,Trajectory,Location systems,Mobile telephony,Communications protocol
Conference
ISBN
Citations 
PageRank 
978-1-4673-0274-6
0
0.34
References 
Authors
3
6