Rajasekhar Sappidi

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Many applications require the sink to compute a function of the data collected by the sensors. Instead of sending all the data to the sink, the intermediate nodes could process the data they receive to significantly reduce the volume of traffic transmitted: this is known as in-network computation. Instead of focusing on asymptotic results for large networks(More)
—For applications in which a node is interested in a function of the data generated at different sources, in-network computation is a promising approach to improve the network performance. In this paper, we study the problem of computing the first M moments of the data using in-network computation in an arbitrary wired communication network. We are(More)
—The support of delay-sensitive applications like VoIP, video conferencing, video streaming, etc. on scheduled mesh networks requires careful configuration of routing and scheduling. We formulate a delay-optimal joint routing and scheduling optimization problem that minimizes the maximum average delay perceived by any flow under the physical interference(More)
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