Contrary to using distant and centralized cloud data center resources, employing
decentralized resources at the edge of a network for processing data closer to user devices …

In this article we provide a comprehensive review of the existing literature on techniques and
protocols for in-network aggregation in wireless sensor networks. We first define suitable …

Previous approaches for computing duplicate-sensitive aggregates in wireless sensor
networks have used a tree topology, in order to conserve energy and to avoid double …

Wireless sensor networks (WSNs) are highly resource constrained in terms of power supply,
memory capacity, communication bandwidth, and processor performance. Compression of …

Wireless sensor networks (WSNs) are a collection of several small and inexpensive battery-
powered nodes, commonly used to monitor regions of interests and to collect data from the …

In-network aggregation is an essential primitive for performing queries on sensor network
data. However, most aggregation algorithms assume that all intermediate nodes are trusted …

Distributed data aggregation is an important task, allowing the decentralized determination
of meaningful global properties, which can then be used to direct the execution of other …

We describe here a general approach for rare itemset mining. While mining literature has
been almost exclusively focused on frequent itemsets, in many practical situations rare ones …

Many sensor applications are interested in computing a function over measurements (eg,
sum, average, max) as opposed to collecting all sensor data. Today, such data aggregation …

We study the mergeability of data summaries. Informally speaking, mergeability requires
that, given two summaries on two datasets, there is a way to merge the two summaries into a …