Divyasheel Sharma

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In this paper, we introduce a <i>rotating interrogation</i> technique for sensor networks called <i>Whirlpool</i>. <i>Whirlpool</i> provides opportunities to optimize data delivery in time-critical monitoring applications. We explore concurrency opportunities while delivering data using the whirlpool strategy and investigate several whirlpool algorithms. We(More)
In this paper we propose a query-driven approach for tuning the time/energy trade-off in sensor networks with mobile sensors. The tuning factors include re-positioning of mobile sensors and changing their transmission ranges. We propose an algebraic query optimization framework that explores these factors while utilizing collision-free concurrent data(More)
This paper describes a method for the recovering of software architectures from a set of similar (but unrelated) software products in binary form. One intention is to drive refactoring into software product lines and combine architecture recovery with run time binary analysis and existing clustering methods. Using our runtime binary analysis, we create(More)
Any opinions, findings, conclusions or recommendations expressed in this material are those of the author and do not necessarily reflect the views of the NSF or Carnegie Mellon University. All unidentified trademarks mentioned in the paper are properties of their respective owners. Abstract Efficient access to bulk data over the Internet has become a(More)
There are performance deficiencies that hamper the deployment of Wireless Sensor Networks (WSNs) in critical monitoring applications. Such applications are characterized by considerable network load generated as a result of sensing some characteristic(s) of the monitored system. Excessive packet collisions lead to packet losses and retransmissions,(More)
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