Wireless sensor networks suffer from limited resources, in particular finite energy supply. A common way to save energy is reducing radio transmissions by using in-network data aggregation, which is very sensitive to non-cooperative nodes, e.g., nodes that have been compromised by an attacker. Usually, security to such attacks can only be achieved by spending considerably more energy. In this p...

Overlaying a virtual infrastructure over a physical network is a time-honored strategy for conquering scale. There are, essentially, two approaches for building such an infrastructure. The first is to design the virtual infrastructure in support of a specific protocol, routing, for example. However, more often than not, the resulting infrastructure is not useful for other purposes. The alternat...

Wireless sensor networks promise a new paradigm for gathering data via collaboration among sensors spreading over a large geometrical region. Many real-time applications impose stringent delay requirements and ask for time-efficient schedules of data aggregations in which sensed data at sensors are combined at intermediate sensors along the way towards the data sink. The Minimum Data Aggregatio...

Data aggregation technology can effectively save network energy resource and storage resource so it is extensively applied in wireless sensor network. However, data aggregation technology also brings security problems and it demands that corresponding security schemes should be taken for precaution. Based on the requirement of the data aggregation security on WSN, combined with the features of ...

Decision makers have become accustomed to making decisions using summarized or aggregate data through the use of financial and accounting reports. The use of aggregate data minimizes the effects of information overload on a decision maker; however it may not provide a decision maker all the details he or she would like to have. The effects of aggregated versus detailed information presentation ...

In this paper, we propose a novel multidimensional privacy-preserving data aggregation scheme for improving security and saving energy consumption in wireless sensor networks (WSNs). The proposed scheme integrates the super-increasing sequence and perturbation techniques into compressed data aggregation, and has the ability to combine more than one aggregated data into one. Compared with the tr...

The energy consumption of High Performance Computing (HPC) systems, which are the key technology for many modern computation-intensive applications, is rapidly increasing in parallel with their performance improvements. This increase leads HPC data centers to focus on three major challenges: the reduction of overall environmental impacts, which is driven by policy makers; the reduction of opera...

This paper presents a performance-optimization technique in a structured wireless sensor network that has a circular form and consists of several rings with many clusters. Optimization is done by varying the number of rings and by applying aggregation on the data transferred across the network up to the destination node. The main reason for this study is that the energy-limited sensor nodes may...

Sink mobility creates new challenges for several sensor network applications. In mobile sink environments, each sink must propagate its current location continuously, through a sensor field, in order to keep all sensor nodes updated with the direction of data forwarding. This method consumes large amounts of energy. Although several protocols, such as DD, TTDD, and SEAD, have been proposed, in ...