A Fuzzy Realistic Mobility Model For Ad hoc Networks

11/29/2011
by   Alireza Amirshahi, et al.
0

Realistic mobility models can demonstrate more precise evaluation results because their parameters are closer to the reality. In this paper a realistic Fuzzy Mobility Model has been proposed. This model has rules which is changeable depending on nodes and environment conditions. This model is more complete and precise than the other mobility models and this is the advantage of this model. After simulation, it was found out that not only considering nodes movement as being imprecise (fuzzy) has a positive effects on most of ad hoc network parameters, but also, more importantly as they are closer to the real world condition, they can have a more positive effect on the implementation of ad hoc network protocols.

READ FULL TEXT
research
05/28/2019

Data Load Balancing In Mobile Ad Hoc Network Using Fuzzy Logic (DBMF)

Volume and movement of data rapidly increasing in every type of data com...
research
09/04/2020

Clustering in VANET: Algorithms and Challenges

Clustering is an important concept in vehicular ad hoc network (VANET) w...
research
06/12/2019

Towards Geocoding Spatial Expressions

Imprecise composite location references formed using ad hoc spatial expr...
research
09/27/2021

A Tutorial on Trace-based Simulations of Mobile Ad-hoc Networks on the Example of Aeronautical Communications

The OMNeT++ simulator is well-suited for the simulation of randomized us...
research
05/07/2018

Monitoring Dynamic Mobile Ad-Hoc Networks: A Fully Distributed Hybrid Architecture

The mobile ad-hoc networks (MANETs) represent a broad area of study and ...
research
02/08/2018

Experimentation With Fuzzy Interest Forwarding in Named Data Networking

In the current Named Data Networking implementation, forwarding a data r...
research
02/01/2018

Mobility-aware, adaptive algorithms for wireless power transfer in ad hoc networks

In this work, we investigate the interesting impact of mobility on the p...

Please sign up or login with your details

Forgot password? Click here to reset