Developing algorithms for sensor networks—and prov-ing their correctness and performance—, requires simpli-fying but still realistic models. This paper surveys various models in use today and puts them into perspective. In ad-dition, we propose interesting models which are not widely adopted by the community so far.
Recent advancement in sensor networks provides a platform for applications that requires in-network ...
One of the key features that distinguishes sensor networks from other networked applications is that...
technical reportWe propose Computational Sensor Networks as a methodology to exploit models of physi...
Developing algorithms for sensor networks—and proving their correctness and performance—, requires s...
Introduction. While there is considerable research activity on programming tools and environments fo...
114 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2006.Finally, we introduce a frame...
AbstractTwo problems in modelling sensor networks are: how to scale up specification and analysis te...
Many researchers from different backgrounds have found interesting research challenges that arise fr...
This paper presents a unified methodology for designing sensor networks that are analog computing sy...
Sensor networks have quickly risen in importance over the last several years to become an active fie...
In this thesis, a new stack architecture for sensor networks is proposed. The stack consists of the ...
In this article, we survey the sensor network calculus (SensorNC), a framework continuously develope...
Sensor networks are designed to detect events and their applicability is dependent on the likelihood...
Information processing in sensor networks, with many small processors, demands a theory of computati...
Sensor Networks are required to be properly designed in order to avoid resource waste and optimize t...
Recent advancement in sensor networks provides a platform for applications that requires in-network ...
One of the key features that distinguishes sensor networks from other networked applications is that...
technical reportWe propose Computational Sensor Networks as a methodology to exploit models of physi...
Developing algorithms for sensor networks—and proving their correctness and performance—, requires s...
Introduction. While there is considerable research activity on programming tools and environments fo...
114 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2006.Finally, we introduce a frame...
AbstractTwo problems in modelling sensor networks are: how to scale up specification and analysis te...
Many researchers from different backgrounds have found interesting research challenges that arise fr...
This paper presents a unified methodology for designing sensor networks that are analog computing sy...
Sensor networks have quickly risen in importance over the last several years to become an active fie...
In this thesis, a new stack architecture for sensor networks is proposed. The stack consists of the ...
In this article, we survey the sensor network calculus (SensorNC), a framework continuously develope...
Sensor networks are designed to detect events and their applicability is dependent on the likelihood...
Information processing in sensor networks, with many small processors, demands a theory of computati...
Sensor Networks are required to be properly designed in order to avoid resource waste and optimize t...
Recent advancement in sensor networks provides a platform for applications that requires in-network ...
One of the key features that distinguishes sensor networks from other networked applications is that...
technical reportWe propose Computational Sensor Networks as a methodology to exploit models of physi...