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 …

The conventional method of centralizing information fusion is commonly employed for
sorting radar signals in reconnaissance receivers. However, challenges arise when the …

In the realm of large-scale Internet-of-Things applications, aggregating data using count-
based windows is a formidable challenge. Current methods, either centralized and slow or …

Wireless sensor networks (WSN) show enormous potential for collection and analysis of
physical data in real-time. Many papers have proposed methods for improving the network …

Wireless Sensor Networks are composed of inexpensive, low powered micro-sensor nodes
capable of sensing, processing, and communicating with limited computational resources …

In-network data aggregation is an effective technique to reduce communication cost in
wireless sensor networks. Recent studies have focused on two issues respectively: dynamic …

The wireless sensor network (WSN) contains sensor nodes for understanding,
communicating, and storing battery capacity data. Data collection can be defined as the …

We present a systematic approach to selecting cluster heads (CHs) in networked sensing
systems for data aggregation based on the idea of dominating sets of a graph. A set of …

Due to its pervasiveness and communication capabilities, Bluetooth can be used as an
infrastructure for several situated interaction and massive sensing scenarios. This paper …

The distributed aggregation of simple aggregates such as minima/maxima, counts, sums
and averages have been studied in the past and are important tools for distributed …