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Random Walk Based Location Prediction in Wireless Sensor Networks
- Source :
- International Journal of Distributed Sensor Networks, Vol 9 (2013)
- Publication Year :
- 2013
- Publisher :
- Wiley, 2013.
-
Abstract
- With the development of wireless sensor network (WSN) technologies, WSNs have been applied in many areas. In all WSN technologies, localization is a crucial problem. Traditional localization approaches in WSNs mainly focus on calculating the current location of sensor nodes or mobile objects. In this paper, we study the problem of future location prediction in WSNs. We assume the location histories of mobile objects as a rating matrix and then use a random walk based social recommender algorithm to predict the future locations of mobile objects. Experiments show that the proposed algorithm has better prediction accuracy and can solve the rating matrix sparsity problem more effectively than related works.
- Subjects :
- Electronic computers. Computer science
QA75.5-76.95
Subjects
Details
- Language :
- English
- ISSN :
- 15501477
- Volume :
- 9
- Database :
- Directory of Open Access Journals
- Journal :
- International Journal of Distributed Sensor Networks
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.5ca1bfab84254cc8b006bb7b1a21c558
- Document Type :
- article
- Full Text :
- https://doi.org/10.1155/2013/691042