Mohamed B.

In this paper, we propose a novel routing protocol called the Cartography Enhanced OLSR (CE-OLSR) for multi hop mobile ad hoc networks (multi hop MANETs). CE-OLSR is based on an efficient cartography gathering scheme and a stability routing approach. The cartography gathering scheme is non intrusive and uses the exact OLSR reduced signaling traffic, but in a more elegant and efficient way to improve responsiveness to the network dynamics. This cartography is a much richer and accurate view than the mer

In the context of mobile multi-hop ad hoc networks (MANETs), the routing is still a serious problem. In this work, we utilize the network cartography in different ways in order to improve the efficiency of the routing function. Firstly, we conceive a novel cartography gathering scheme that improves the responsiveness of the routing function towards the ceaselessly evolving topology of the MANET. Secondly, we make use of the rich view about the network connectivity, which is gained from the network c

Inthispaper,weproposetheintegrationofa cartographygatheringschemetoenhancethecapacityofthe OptimizedLinkStateRoutingProtocol(OLSR)toproperlytrack nodemovementsindynamicnetworks.Weproposeanimproved versionofOLSRcalledtheCartographyEnhancedOptimized LinkStateRoutingProtocol(CE-OLSR),anovelroutingprotocol designedformobilemulti-hopadhocnetworks.Ourcontribution isthreefold.First,weproposeanefficientnetworkcartography collectionschemesolelybasedonOLSRsignalingtraffic.We showthatthiscartographyismuchricher

Purpose: This paper presents a new content-based retrieval approach dedicated to lung CT images. Methods: This approach uses an adapted abstract representation model for lung images based on an attributed tree whose nodes serve to index the regions of interest using basically textural low level features and optionally shape and localization features. It defines then a similarity measure function based on a tree-matching algorithm allowing retrieving in ranked manner the most similar images compared to a qu