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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)
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)
— 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 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)
Advances in sensor technology provide the opportunity for a wide range of applications not examined before. These advances come with the realization of many limitations, like energy constraints, communication limitations, or sensor node failures. To combat these limitations, several solutions have been proposed, most of which organize the sensor nodes into(More)