Networks - I: Predictive activation for localization using minimal data-fusion in MANETs
Abstract/Description
We propose a unique localization algorithm for MANETs: the mobile infrastructure-less networks with support of static underlying wireless sensor network nodes. The algorithm has been designed with two stages for localizing the MANET. The first stage is the naive activation stage which acts as the bootstrap for the prediction stage. The predictive minimal energy consumption algorithm incorporates the information from the measured TOA (Time Of Arrival) to locate the mobile nodes. The experimental results and comparative analysis show that our system provides accurate localization of linearly moving MANET's using low power consumption of the underlying wireless sensor networks.
Keywords
Mobile computing, Ad hoc networks, Mobile nodes, Wireless sensor networks, Prediction algorithms, Time measurement
Location
Room M1
Session Theme
Networks - I
Session Type
Other
Session Chair
Dr. Sayeed Ghani
Start Date
15-12-2013 11:30 AM
End Date
15-12-2013 12:00 PM
Recommended Citation
Saeed, T., Khan, S. A., Tariq, U., & Khan, Z. A. (2013). Networks - I: Predictive activation for localization using minimal data-fusion in MANETs. International Conference on Information and Communication Technologies. Retrieved from https://ir.iba.edu.pk/icict/2013/2013/28
COinS
Networks - I: Predictive activation for localization using minimal data-fusion in MANETs
Room M1
We propose a unique localization algorithm for MANETs: the mobile infrastructure-less networks with support of static underlying wireless sensor network nodes. The algorithm has been designed with two stages for localizing the MANET. The first stage is the naive activation stage which acts as the bootstrap for the prediction stage. The predictive minimal energy consumption algorithm incorporates the information from the measured TOA (Time Of Arrival) to locate the mobile nodes. The experimental results and comparative analysis show that our system provides accurate localization of linearly moving MANET's using low power consumption of the underlying wireless sensor networks.
