2010 IEEE Wireless Communication and Networking Conference 2010
DOI: 10.1109/wcnc.2010.5506346
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Controlled Gossiping in Ad Hoc Networks

Abstract: Abstract-Gossiping, a probabilistic algorithm for networkwide broadcasting, can significantly reduce the number of transmissions in one-to-all message spread. Based on the Continuum Percolation Theory, we develop a novel analytical model of gossiping for wireless ad hoc networks. This model provides an intuitive way for setting the gossiping probability, so that a gossip achieves high degree of network coverage with limited number of transmissions. We also propose and study a distributed gossiping scheme, in w… Show more

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Cited by 9 publications
(25 citation statements)
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“…In Global GOSSIP [70], the authors demonstrated that if the nodes forward incoming packets with a probability p ¼ h À1 ðcÞ / in a network with average degree / > h À1 ðcÞ, the probability of a successful broadcast procedure is c. Where c is the target gossip coverage level (target reachability), / the average node degree, and h À1 ðcÞ is the minimum average degree so that the fraction of nodes in the largest connected component of a network with infinite size is at least c. The average node's degree / is defined as / ¼ kpr, k is the intensity of homogeneous Poisson process H k , which is used to distribute nodes in the network. Although this scheme is suitable from the theoretical point of view, it makes assumptions on the level of knowledge available at individual nodes, which would either incur huge cost or impossible to attain.…”
Section: Adaptive Non-counter-based Schemesmentioning
confidence: 99%
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“…In Global GOSSIP [70], the authors demonstrated that if the nodes forward incoming packets with a probability p ¼ h À1 ðcÞ / in a network with average degree / > h À1 ðcÞ, the probability of a successful broadcast procedure is c. Where c is the target gossip coverage level (target reachability), / the average node degree, and h À1 ðcÞ is the minimum average degree so that the fraction of nodes in the largest connected component of a network with infinite size is at least c. The average node's degree / is defined as / ¼ kpr, k is the intensity of homogeneous Poisson process H k , which is used to distribute nodes in the network. Although this scheme is suitable from the theoretical point of view, it makes assumptions on the level of knowledge available at individual nodes, which would either incur huge cost or impossible to attain.…”
Section: Adaptive Non-counter-based Schemesmentioning
confidence: 99%
“…Another issue is how nodes can know the value of h À1 ðcÞ in a real network. An improved version of Global GOSSIP is presented as Distributed GOSSIP in [70]. Nodes use the node's number of neighbors n b instead of using the average node degree / in the network.…”
Section: Adaptive Non-counter-based Schemesmentioning
confidence: 99%
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“…The formal description used in the literature to analyze the multi-hop dissemination of packets in an ad hoc network corresponds to the so called Geometric Graph on a random point configuration also called Random Geometric Graph (RGG) [1,2]. Such a description defines a graph, in an d-dimensional space, in terms of the transmission radius of nodes, r, as follows:…”
Section: Formal Descriptionmentioning
confidence: 99%
“…They compare the proposed scheme with the AODV protocol and a fixed probabilistic approach and it is shown that it the number of rebroadcasts is significantly reduced. [121], considering Continuum Percolation Theory, propose a gossip model where the broadcast probability is fixed and inversely proportional to the average node degree. Moreover, a distributed gossiping scheme is also proposed, in which the nodes set the gossiping probability according to the number of own neighbors.…”
Section: Cartigny and Simplotmentioning
confidence: 99%