Open AccessHybrid fuzzy social mobility model
Author(s) -
Ahmad Alkhodre
Publication year - 2016
Publication title -
karbala international journal of modern science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.345
H-Index - 17
eISSN - 2405-6103
pISSN - 2405-609X
DOI - 10.1016/j.kijoms.2015.12.004
Subject(s) - computer science , node (physics) , process (computing) , mobility model , flexibility (engineering) , mobile ad hoc network , fuzzy logic , movement (music) , social network (sociolinguistics) , distributed computing , operations research , artificial intelligence , wireless , engineering , telecommunications , philosophy , statistics , mathematics , structural engineering , aesthetics , world wide web , social media , operating system
Wireless ad hoc network is one of the best types of networks because of the flexibility where there is no need of additional infrastructure to be installed. For the development of such type of networks, the simulation process is one of the low-cost reliable tools. Network protocols validation is the most important factors that can be tested and developed through a simulation process. The simulation process and environment must be close to the reality as more as possible. In addition, the network's node is considered as moving objects, so it is necessary to introduce dedicated models reflect the movement of these nodes which emulates the movement in the real world. In literature, there are many models to simulate the random movement, others tried to emulate the node's movement in the real world, but most of them are incomplete. The realistic model must takes the considerations of human and social aspects from one hand and on the other hand, the geographical constraints of locations. It is very important to know that these considerations cannot be considered perfect because the mobility model represents general aspects and not a private movement case. Therefore, this information must be represented as inaccurate. The work presented in this research aims to provide a realistic mobility model for Manet networks. This model takes into account the human and social relationship on one hand, and geographical restrictions of location on other hand. It also addresses the problem of imprecision in social relationships and the location where we apply Fuzzy logic concept