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This paper presents TiNA, a scheme for minimizing energy consumption in sensor networks by exploiting end-user tolerance to temporal coherency. TiNA utilizes temporal coherency tolerances to both reduce the amount of information transmitted by individual nodes (communication cost dominates power usage in sensor networks), and to improve quality of data when(More)
In-network aggregation has been proposed as one method for reducing energy consumption in sensor networks. In this paper, we explore two ideas related to further reducing energy consumption in the context of in-network aggregation. The first is by influencing the construction of the routing trees for sensor networks with the goal of reducing the size of(More)
The wide spread of mobile computing devices is transforming the newly emerged e-business world into a mobile e-business one, a world in which hand-held computers are the user's front-ends to access enterprise data. For good mobile decision making, users need to count on up-to-date, business-critical data. Such data are typically in the form of summarized(More)
In highly interactive dynamic web database systems, user satisfaction determines their success. In such systems, user requested web pages are dynamically created by executing a number of database queries or web transactions. In this paper, we model the interrelated transactions generating a web page as workflows and quantify the user satisfaction by(More)
Minimizing energy consumption has been a major objective at all levels in sensor networks. In this paper, we present TiNA, an in-network aggregation scheme that maintains the user-specified quality of data requirement while significantly reducing the overall energy consumption. Specifically, since communication dominates power usage in sensor networks, TiNA(More)
With the increasing number of real-world events that are originated and discussed over social networks, event detection is becoming a compelling research issue. However, the traditional approaches to event detection on large text streams are not designed to deal with a large number of short and noisy messages. This paper proposes an approach for the early(More)
The proliferation of wireless technologies along with the large volume of data available online are forcing us to rethink existing data dissemination techniques for data over the Web, and in particular for aggregate data. In addition to scalability and response time, data delivery to mobile clients with wireless Web connectivity m ust also consider energy(More)
Nowadays Electronic Health Records (EHRs) is a preferred method to store patients' health records. The emergence of cloud computing services provides users with flexible access, large storage capability and low costs, which motivate EHR maintainers to consider migrating EHR data from their own storage to the cloud. However, securing EHRs in cloud is a major(More)
In-network aggregation has been proposed as one method for reducing energy consumption in networked sensors. In this paper, we explore the idea of influencing the construction of the routing trees for sensor networks with the goal of reducing the size of transmitted data for networks with in-network ag-gregation involving Group By queries. Toward this, we(More)
The emergence of monitoring applications has precipitated the need for Data Stream Management Systems (DSMSs), which constantly monitor incoming data feeds (through registered continuous queries), in order to detect events of interest. In this article, we examine the problem of how to schedule multiple Continuous Queries (CQs) in a DSMS to optimize(More)