The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Service discovery is one of the most fundamental building blocks of self-organization. While mature approaches exist in the realm of fixed networks, they are not directly applicable in the context of MANETs. We investigate and compare two different protocols as basis for service discovery, namely OLSR and WCPD. OLSR is a proactive routing protocol while WCPD is a path discovery protocol integrating...
HyTrace is a hybrid system providing stable paths between mobile ad hoc nodes. The ad hoc network thereby is organized in clusters where the cluster heads maintain uplinks to a backbone network. The backbone keeps track of available clusters and stable connection between them. The backbone also inter-links different network partitions thus increasing the reliability of the whole system. The underlying...
This work introduces a recommender system designed to augment the information discovery and dissemination in mobile networks. We use the system to optimize the podcast providing mechanism of the HyCast application. The presented recommender system is based on collaborative filtering and provides two different algorithms to determine similar network neighbors, which are used to incrementally build...
This paper introduces a clustering algorithm for applications running in backbone-assisted mobile ad hoc networks. The algorithm assigns weights both to the network nodes and to the communication links in order to elect local leaders, so called clusterheads.
In this paper, we introduce HyLearn, a cooperative learning system for mobile devices running on a hybrid wireless network. HyLearn deploys information to interested nodes through both fixed as well as mobile networks. Due to the mobility of nodes, an efficient approach for self-organization the ad hoc network is required. For that, we apply a multi-hop clustering technique that forms hierarchical...
The hierarchical subdivision strategy which decomposes a non-rigid matching problem into numerous local rigid transformations is a very common approach in image registration. While mutual information (MI) has proven to be a very robust and reliable similarity measure for intensity-based matching of multi-modal images, numerous problems have to be faced if it is applied to small-sized images, compromising...
Clustering techniques create hierarchal network structures, called clusters, on an otherwise flat network. In a dynamic environment-in terms of node mobility as well as in terms of steadily changing device parameters-the clusterhead election process has to be re-invoked according to a suitable update policy. Cluster re-organization causes additional message exchanges and computational complexity and...
Clustering techniques create hierarchal network structures, called clusters, on an otherwise flat network. Neighboring devices elect one appropriate device as clusterhead. Due to the dynamic environment, clusterhead selection becomes an important issue. We consider the problem of appropriate clusterhead selection in wireless ad-hoc networks and sensor networks. This work presents topological criteria...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.