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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 :
- SAGE Publishing, 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 :
- Article Subject
Computer Networks and Communications
Computer science
Real-time computing
General Engineering
computer.software_genre
Random walk
lcsh:QA75.5-76.95
Key distribution in wireless sensor networks
Location prediction
ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS
Data mining
lcsh:Electronic computers. Computer science
Focus (optics)
computer
Wireless sensor network
Subjects
Details
- Language :
- English
- ISSN :
- 15501477
- Volume :
- 9
- Database :
- OpenAIRE
- Journal :
- International Journal of Distributed Sensor Networks
- Accession number :
- edsair.doi.dedup.....b0723df8eda4fa91414807749f2568da