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Sensing, Filter and Processing (SFP) Model for Robust Cooperative Position Identification in Mobile Ad-Hoc Networks
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 94 - Number 5 |
| Year of Publication: 2014 |
| Authors: Neha Raja Panwar, Nitika Vats Doohan, Shraddha Kumar |
10.5120/16340-5634
|
Neha Raja Panwar, Nitika Vats Doohan, Shraddha Kumar . Sensing, Filter and Processing (SFP) Model for Robust Cooperative Position Identification in Mobile Ad-Hoc Networks. International Journal of Computer Applications. 94, 5 ( May 2014), 24-29. DOI=10.5120/16340-5634
Abstract
In MANET is a short range infrastructure independent network with light weight protocols for most of its routing operations. In this radio waves based network the connectivity is taken as key component because in absence of that the transmission is affected. Thus location and mobility information have to be continuously maintained. To identify the position of movable nodes various relative position based approaches is suggested. Identification of accurate location of mobile nodes is a quite heavy task in terms of computation with real time results. Several approach is been suggested to improve the robust position accuracy but well suited in densely connected environment only and can work with a single of dual type of network. This work proposes a novel Sensing, Filter and Processing (SFP) model for robust position identification using different network parameters. At the initial level the approach is proving its efficiency in near optimal calculations and relative position detections.
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