Distributed Node Location in Clustered Multi-hop Wireless Networks

Abstract

Abstract:Ad hoc routing protocols proposed in the MANET working group are all flat routing protocols and are thus not suitable for large scale or very dense networks because of bandwidth and processing overheads they generate. A common solution to this scalability problem is to gather terminals into clusters and then to apply a hierarchical routing, which means, in most of the literature, using a proactive routing protocol inside the clusters and a reactive one between the clusters. We previously introduced a cluster organization to allow a hierarchical routing and scalability, which have shown very good properties. Nevertheless, it provides a constant number of clusters when the intensity of nodes increases. Therefore we apply a reactive routing protocol inside the clusters and a proactive routing protocol between the clusters. In this way, each cluster has O(1) routes to maintain toward other ones. When applying such a routing policy, a node u also needs to locate its correspondent v in order to pro-actively route toward the cluster owning v. In this paper, we propose a localization scheme, based on Distributed Hashed Tables and Interval Routing

AnyBody: a self-organization protocol for body area networks

“…Clustering algorithms have been proposed to alleviate the aforementioned problems. Mitton et al [9] defines the density of a node as the ratio between the number of links within the node's 2-hop neighbors and the number of 2-hop neighbors. Nodes who have the local highest density are elected clusterhead.…”

Radio-Based Cooperation for Wireless Intrusion Detection

“…Features of mobile networks have allowed attackers to create new kinds of intrusions [1], [2]. These intrusions are more complex because they include all intrusions targeting wired networks, as well as attacks targeting the wireless environment.…”

Radio-based Cooperation Scheme for DDoS Detection

“…This is due to the specific features of wireless networks, which allow the attackers to create new kinds of intrusions and anomalies. Therefore, new solutions and approaches that are more appropriate for detecting wireless DDoS have to be developed [1][2]. Intrusion detection systems deployed for protecting wired communications, base their detection on pattern matching and statistical anomaly approaches.…”