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Complex sensor network applications include multiple services such as collection, dissemination, time synchronization, and failure detection protocols. Many of these protocols require local state maintenance through periodic broadcasts which leads to high control overhead. Recent attempts to consolidate these broadcasts focus on piggybacking information into existing services but such tight coupling...
We demonstrate how the communication reliability in a sensor network (end-to-end delivery ratio and network stability) can be improved by exploiting transceiver diversity. A new sensor platform, Opal, which features a dual radio configuration working in the 900 MHz and 2.4 GHz band, but driven by a single micro-controller is the basis of the demonstration. A new dual radio collection tree protocol...
Deployment of wireless sensors in real world environments is often a frustrating experience. The quality of radio links is highly coupled to unpredictable physical environments, leading to intermittent connectivity and frequent outages. Because link qualities are not predictable prior to deployment, current deterministic solutions to unreliable links, such as increasing network density or transmission...
Design and development of wireless sensor network applications adds an additional layer of complexity to traditional computer systems. The developer needs to be an expert in resource constrained embedded devices as well as traditional desktop computers. We propose Tinylnventor, an open-source development environment that takes a holistic approach to implementing sensor network applications. Users...
We present a mobile wireless network evaluation tool (MOWINE) that can analyze mobility and wireless connectivity traces to quantify performance of different network protocols in a given application scenario. We model the highly dynamic connectivity of mobile networks using time-expanded graphs which allow us to study the best-case performance of network protocols. MOWINE also integrates with a network...
We present an algorithm for data delivery to mobile sinks in wireless sensor networks. Our algorithm is based on information potentials, which we extend to account for mobility. We show that for local movement along edges in the communication graph, the information potentials can be adapted using a simple iterative distributed computation. However, for non-local movement, the potential field might...
This paper presents an enhanced version of a novel radio interferometric positioning technique for node localization in wireless sensor networks that provides both high accuracy and long range simultaneously. The ranging method utilizes two transmitters emitting radio signals at almost the same frequencies. The relative location is estimated by measuring the relative phase offset of the generated...
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