期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2015
卷号：78
期号：1
出版社：Journal of Theoretical and Applied
摘要：The mobile ad hoc networks are a special case of wireless networks, where we encounter some form of spontaneous communication, in which groups of different mobile nodes forming a network without the need of infrastructure, thus access to information is through the users� mobile equipment�s. One of the basic features of this kind of network is the famous principle of routing. However, the users� considerable need to have access to data in the best conditions involves some thinking to pro pose relevant solutions on the whole. In this purpose, our work applies in one particular case. El Hajj is a holy gathering place of millions of Muslim pilgrims from around the world. During this season, the organizers faced a lot of problems related to communication of pilgrims and their position in the area of El Hajj, hundreds of believers acknowledge that they may have difficulties each year at relaying communications and connections during these rituals, others who may have problems with serious situations, especially in large crowds. In this context, we are proposing an architecture that enables optimization of network and routing, depend on a smart mobility with a goal to represent the surrounding area of Mecca as a Smart city to offer a whole of advantages to improve a quality, to make their different services and infrastructure more flexible. It is based on the data compression technique, it depends on the compression of this data sector by implementing a clustering architecture. This solution, present a model for an area, and which can be duplicated for the full area of El hajj. It also facilitates the communication and localization, in real time. The evaluation of this approach leads us to anticipate simulations to do a great job of refinery. We made a choice to perform a number of simulations based on the AODV protocol and implementing the technique of clustering, ideal for identifying performance to consolidate our approach
