Mobility Prediction in Wireless Ad Hoc Networks using Neural Networks

Computer Science – Neural and Evolutionary Computing

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Heni Kaaniche and Farouk Kamoun, "Mobility Prediction in Wireless Ad Hoc Networks using Neural Networks", Journal of Telecommu

Scientific paper

Mobility prediction allows estimating the stability of paths in a mobile wireless Ad Hoc networks. Identifying stable paths helps to improve routing by reducing the overhead and the number of connection interruptions. In this paper, we introduce a neural network based method for mobility prediction in Ad Hoc networks. This method consists of a multi-layer and recurrent neural network using back propagation through time algorithm for training.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Mobility Prediction in Wireless Ad Hoc Networks using Neural Networks does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Mobility Prediction in Wireless Ad Hoc Networks using Neural Networks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Mobility Prediction in Wireless Ad Hoc Networks using Neural Networks will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-32951

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.