Epidemic protocols have demonstrated remarkable scalability and robustness in disseminating information on internet-scale, dynamic P2P systems. However, popular instances of such protocols suffer from a number of significant drawbacks, such as increased message overhead in push-based systems, or low dissemination speed in pull-based ones. In this paper we study push-based epidemic dissemination...

The aim of this paper is to design Energy Efficient Multi-Hop Multipath Sub Clustering Routing Protocol for Wireless Sensor Networks. This presented a routing protocol heterogenous WSN the selection cluster head based on highest remaining residual energy in node by using optimal probabilistic equation. technique contains multi-hoping inter clustering communication and connectivity sensor nodes ...

HySpirit is a retrieval engine for hypermedia retrieval integrating concepts from information retrieval (IR) and deductive databases. The logical view on IR models retrieval as uncertain inference, for which we use probabilistic reasoning. Since the expressiveness of classical IR models is not suucient for hypermedia retrieval, HySpirit is based on a probabilistic version of Datalog. In hyperme...

Reliable group communication is important for large-scale distributed applications such as information dissemination systems. The challenging issue in this context remains scalability. The computation time and amount of data dedicated to the reliability mechanism should remain manageable as the number of nodes in a system grows, and no bottleneck should emerge. Probabilistic algorithms has prov...

Statistical NLP models usually only consider coarse information and very restricted context to make the estimation of parameters feasible. To reduce the modeling error introduced by a simplified probabilistic model, the Classitication and Regression Tree (CART) method was adopted in this paper to select more discriminative features for automatic model refinement. Because the features are adopte...

The continuity running of the sensor network on limited energy resources constitutes a real challenge for researchers. In fact, many schemes have been proposed to economize the wasted energy of this latter. However, most of them are proposed for static network. In this article we propose threshold formula and we present two probabilistic methods to reduce the energy consumption and at the same ...

In this paper we consider a probabilistic approach to the problem of localization in wireless sensor networks and propose a distributed algorithm that helps unknown nodes to determine confident position estimates. The proposed algorithm is RF based, robust to range measurement inaccuracies and can be tailored to varying environmental conditions. The proposed position estimation algorithm consid...

This paper discusses the relationship between incidence cal culus and the ATMS It shows that managing labels for statements in an ATMS is similar to producing the incidence sets of these statements in incidence calculus We will prove that a probabilistic ATMS can be im plemented using incidence calculus In this way we can not only produce labels for all nodes in the system automatically but als...

Security is an indispensable concern in Wireless Sensor Network (WSN) due to the presence of potential adversaries. For secure communication in infrastructureless sensor nodes various key predistribution have been proposed. In this paper we have evaluated various existing deterministic, probabilistic and hybrid type of key pre-distribution and dynamic key generation algorithms for distributing ...

A new application of neurocomputing for data approximation and classification is introduced to process data in a wireless sensor network. For this purpose, a simplified dynamic sliding backpropagation algorithm is implemented on a wireless sensor network for transportation applications. It is able to approximate temperature and humidity in sensor nodes. In addition, two architectures of "radial...