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Recent research has shown that the performance of opportunistic routing and network coding in wireless networks is greatly impacted by the correlation among the links. However, it is difficult to measure the correlation among the links, especially because of the time-varying behavior of the wireless links. Therefore, it is crucial to design a distributed algorithm that does not require the explicit...
This paper represents the design of Interference Resistant Multiple Access (IRMA), a novel cross layer protocol that can combat exposed terminals and exploit the concurrent transmissions in wireless networks, both helping in achieving higher throughput compared to the 802.11 standard and other recent protocols. By observing that nodes in current protocols waste transmission opportunities in two different...
The application of machine learning algorithms in wireless communications has attracted increasing attention due to the promising performance gains recently achieved. Static classification algorithms have been successfully applied to training protocols that adapt transmission parameters according to context information. However, in reality, there are many time-varying reasons for fading channel quality...
Correlated packet reception can be advantageous for sensor network broadcast protocols. By exploiting link correlation information, researchers have devised efficient single packet flooding protocols. In this work, we use testbed experiments to gain insight into the behavior of link correlation-aware broadcast protocols. We observe that, in the presence of varying link correlation, traditional link...
Although wireless sensor networks (WSNs) are powerful in monitoring physical events, the data collected from a WSN are almost always incomplete if the surveyed physical event spreads over a wide area. The reason for this incompleteness is twofold: i) insufficient network coverage and ii) data aggregation for energy saving. Whereas the existing recovery schemes only tackle the second aspect, we develop...
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