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—It is generally foreseen that the number of wirelessly connected networking devices will increase in the next decades, leading to a rise in the number of applications involving large-scale networks. A major building block for enabling self-* system properties in ad-hoc scenarios is the run-time discovery of neighboring devices and somewhat equivalently,(More)
—When a wireless sensor network is deployed indoors, sensor nodes often need to compete for channel usage with other, more powerful devices such as 802.11 access points. To mitigate the effects of such external interference we propose Chrysso, a protocol extension specifically designed for data collection applications that leverages the channel diversity of(More)
With the ever increasing scale of dynamic wireless networks (such as MANETs, WSNs, VANETs, etc.), there is a growing need for performing aggregate computations, such as online detection of network churn, via distributed, robust and scalable algorithms. In this paper we introduce the ChurnDetect algorithm, a novel solution to the distributed churn estimation(More)
—Ubiquitous and wirelessly connected devices are the present status quo in terms of networks around us. With the ever increase of scale, there comes also the problem of various transmission failures. They are usually caused by hardware, software, or any other medium access contention. For the case of mobile networks, path uncertainty comes also into picture(More)
—The high popularity of wireless sensor networks has led to novel applications with diverse, and sometimes demanding, data communication requirements, for example, streaming camera images in surveillance applications. In response bulk-data transfer protocols were proposed that provide low latency and high throughput communication over multiple hops.(More)
—Most applications involving large-scale wireless networks need to know the connectivity of the network topology. Conventional approaches largely ignore the temporal aspects of node-to-node connectivity, and perform an offline analysis. In this paper, we characterize the temporal connectivity in a mobile wireless network, in a decentralized manner. We(More)
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