Wireless Sensor networks are dense networks of small, low-cost sensors, which collect and disseminate environmental data and thus facilitate monitoring and controlling of physical environment from remote locations with better accuracy. The major challenge is to achieve energy efficiency during the communication among the nodes. This paper aims at proposing a solution to schedule the node’s acti...

In the background of the offshore wind turbine monitoring applications, we analyzed the characteristics of the offshore wind turbine monitor and gave the architecture of the offshore wind turbine monitor system. We designed the system model of blade wear and vibration in offshore wind turbine, and combined with energy efficient data aggregation algorithm based on the specific application to mon...

The protection of critical infrastructures increasingly demands solutions across interdependent infrastructures all over Europe supporting incident detection and management. This necessitates cooperation of privately owned infrastructure operators and public bodies between sectors and across borders. The ECOSSIAN project, funded by the EU under the 7th framework program for research and develop...

Directed Diffusion (DD) uses data aggregation to suppress data overhead however there is no guarantee that paths from nearby sources join after a few hops. In this paper, an efficient data-gathering protocol (EDAP) is proposed to address this problem by using a Virtual Sink (VS) node nearby the sources, which plays the role of sink node and broadcasts local interest messages and routes gathered...

Software infrastructures and applications more and more must deal with data available in a variety of different storage engines, accessible through a multitude of protocols and interfaces; and it is common that the size of the data involved requires streaming-based processing. This article shows how XQuery can leverage the XML Data Model to abstract the data physical details and to offer optimi...

First, we demonstrate that not only does data compression help reduce the communication latency in a sensor network (as one would expect) but that it can also be used to gain energy efficiency since data compression reduces the energy spent transmitting data – which is one of the most energyhungry tasks in a sensor network. Through simulations we show that data compression can bring more energy...

With enormous use of sensor network, the sensor applications was enfeeble by large data movements across the network owing to the intrinsic characteristics of resource-constrained sensors. This paper emphasizes on two issues such as accuracy and communication overhead, data aggregation is an effective way to reduce communication issues at lower level, to take important decisions and accuracy at...

In this paper the performance of the proposed DLMT and CLMT algorithms are compared. These proposed algorithms tend to extend the node lifetime. Decentralized lifetime maximizing tree(DLMT) features in nodes with higher energy to be chosen as data aggregating parents while Centralized Lifetime Maximizing Tree(CLMT) features with the identification of the bottleneck node to collect data in a cen...

To enable data aggregation among the event sources in wireless sensor networks and to reduce the communication cost there is a need to establish a coveraged tree structure inside any given event region to allow data reports to be aggregated at a single processing point prior to transmission to the network. In this paper we propose a novel technique to create one such tree which maximizes the li...

Article history: Received 2 September 2014 Received in revised form 20 November 2014 Accepted 29 November 2014 Available online 12 December 2014 Communicated by D.-Z. Du