content discovery is one of the fundamental issues that determines the architecture and performance of content distribution networks based on peer-to-peer (p2p) networks. to administrate the costs and discoveries, peers of a p2p network communicate with each other by one or more overlay layers. the condition of node’s relations in overlay networks, have a great impact in efficiency of networks....

wheel numeric and different versions of mobility numbers are important models for predicting the rolling resistance. in this study, data related to the rolling resistance of cross ply and radial ply tires were compared with the resultant values from several models. also, the preciseness of models in rolling resistance prediction was evaluated. for this purpose f test and 1-1 line method (p≥ 0.0...

User mobility prediction can enable a mobile service provider to optimize the use of its network resources, e.g., through coordinated selection of base stations and intelligent content prefetching. In this paper, we study how to perform mobility prediction by leveraging the base station level location information readily available to a service provider. However, identifying real movements from ...

Rapid mobile networking growth and network applications diversity led to the need for future generation wireless networks to support a wide range of Quality-ofService (QoS). Next generation networks of 4G and beyond aim to ensure that seamless mobility across heterogeneous networks and support to real-time multimedia services. This needs intra and inter-domain handovers/service reconfiguration ...

Routing in ad hoc networks faces significant challenges due to node mobility and dynamic network topology. In this work we propose the use of mobility prediction to reduce the search space required for route discovery. A method of mobility prediction making use of a sectorized cluster structure is described with the proposal of the Prediction based Location Aided routing (P-LAR) protocol. Simul...

Mobility prediction algorithm is the significant aspect to improve QoS (Quality of Service) for heterogeneous wireless networks because it decreases handoff latency and preserves resources in arriving cells for users. Since existing mobility prediction algorithms based on GPS (Global Positioning System) often suffer from low prediction accuracy for complex and irregular trajectory, this paper c...

Mobility prediction based on an individual’s movement history has been reported as an effective means to decrease call-dropping probability and to shorten handover latency. Applying various basic prediction schemes to a realistic office environment, it is shown that mobility prediction using an individual’s movement history has limitations, and the statistical randomness of user motion can prev...

Efficient planning and improved quality of service (QoS) in wireless networks call for the use of mobility prediction schemes. Such schemes ensure accurate mobility prediction of wireless users and units which plays a major role in optimized planning and management of the available bandwidth and power resources. In this paper, fully-complex extreme learning machines (CELMs) model and predict th...