Title

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.

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

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Dec 15th, 11:30 AM Dec 15th, 12:00 PM

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.