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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)
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)
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)
— Wireless sensor networks are expected to be an integral part of any pervasive computing environment. This implies an ever-increasing need for efficient energy and resource management of both the sensor nodes, as well as the overall sensor network, in order to meet the expected quality of data and service requirements. There have been numerous studies that(More)
A major problem in web database applications and on the Internet in general is the scalable delivery of data. One proposed solution for this problem is a hybrid system that uses multicast push to scalably deliver the most popular data, and reserves traditional unicast pull for delivery of less popular data. However, such a hybrid scheme introduces a variety(More)
A major problem on the Internet is the scalable dissemination of information. This problem is particularly acute exactly at the time when the scalability of data delivery is most important, e.g., election results on the night of the 2000 United States presidential election, and news during 9/11/2001. The current unicast pull framework simply does not scale(More)
One of the major problems in the Internet today is the scalable delivery of data. With more and more people joining the Internet community, web servers and services are being forced to deal with workloads beyond their original data dissemination design capacity. One solution that has arisen to address scalability is to use multicasting, or push-based data(More)
A major problem in mobile web applications as well as the wireless Internet is the scalable delivery of data. The most popular solution for this problem is a hybrid system that uses broadcast push to scalably deliver the most popular data, and reserves broadcast pull for delivery of less popular data. Such a hybrid scheme introduces a variety of data(More)