1,720,978 research outputs found
An Adaptive, LLC-based and Hierarchical Power-aware Routing Algorithm
No full textIn a wireless sensor network (WSN), we can rarely assume the static network topology hypothesis. In fact, the topology may change due to unit and communication faults, energy availability, and environmental dynamics-situations that could prevent the acquired data to be successfully routed to the base station (BS). In recent years, many self-organizing routing algorithms that provide topology adaptation in an energy-aware context at the network level have been proposed. Among these, hierarchical algorithms are particularly adequate solutions for their scalability, power efficiency, extended network lifetime, and intrinsic adaptability abilities. This paper suggests a k-level hierarchical extension of the Low-energy Localized Clustering (LLC) algorithm that takes into account the estimate of the residual energy of nodes, the aggregation degree, and uniform coverage level of the monitoring area as well as extended lifetime for the network nodes. The effectiveness of the proposed solution has been validated with an ad hoc simulator and experimental investigations
A high-frequency sampling monitoring system for environmental and structural applications
No full textTowards autonomic pervasive systems: the PerLa context language
Get PDFThe property of context-awareness, inherent to a Pervasive
System, requires a clear definition of context and of how the
context parameter values must be extracted from the real
world. Since often the same variables are common to the
operational system and to the context it operates into, the
usage of the same language to manage both the application
and the context can lead to substantial savings in application
development time and costs. In this paper we propose a
context-management extension to the PerLa language and
middleware that allows for declarative gathering of context
data from the environment, feeding this data to the internal
context model and, once a context is active, acting on the
relevant resources of the pervasive system, according to the
chosen contextual policy
Managing and using context information within the PerLa language (extended abstract)
No full textSelf-adaptability in pervasive real-world applications can be
achieved by adopting a context-aware middleware. In this paper, we pro-
pose a context-management extension to the PerLa language and mid-
dleware, which allows for: (i) gathering of data from the environment,
(ii) feeding this data to the internal context model and, (iii) once a con-
text is active, acting on the relevant resources of the pervasive system,
according to the chosen contextual policy
Pushing context-awareness down to the core: moreflexibility for the PerLa language
Get PDFInformation technology is increasingly pervading our envi-
ronment, making real Mark Weiser’s vision of a “disappear-
ing technology”. The work described in this paper focuses
on using context to enable pervasive system personaliza-
tion, allowing context-aware sensor-data tailoring. Since
sensor networks, besides data collection, are also able to pro-
duce active behaviours, the tailoring capabilities are also ex-
tended to these, thus applying context-awareness to generic
system operations. Moreover, because the number of pos-
sible context can grow rapidly with the complexity of the
application, the design phase is also supported by the possi-
bility to speed-up and modularize the definition of the data
and operations associated with each specific context, pro-
ducing a support tool that eases the job of the designers of
modern context-aware pervasive systems
Lossless Compression Techniques in Wireless Sensor Networks: Monitoring Microacoustic Emissions
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