Mobility prediction in mobile ad hoc networks using extreme learning machines

L Ghouti, TR Sheltami, KS Alutaibi - Procedia Computer Science, 2013 - Elsevier
Recent advances in wireless technology and computing have paved the way to the
unprecedented rapid growth in de-mand and availability of mobile networking and services
coupled with diverse system/network applications. Such advances triggered the emergence
of future generation wireless networks and services to address the increasingly strin-gent
requirements of quality-of-service (QoS) at various levels. The expected growth in wireless
network activity and the number of wireless users will enable similar growth in bandwidth …

Mobility prediction in mobile ad hoc networks using neural learning machines

L Ghouti - Simulation Modelling Practice and Theory, 2016 - Elsevier
Recent advances in wireless and mobile computing have paved the way for an
unprecedented demand growth for mobile services and applications. These services and
applications communicate and exchange information using wireless local area networks
(WLANs) and mobile ad hoc networks (MANETs). However, new design challenges emerge
due to the error-proneness, self-organization and mobility nature of these networks. This
paper proposes a neural learning-based solution to the problems associated with the …
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