2013
DOI: 10.3233/jhs-130482
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Petri net based evaluation of energy consumption in wireless sensor nodes

Abstract: Wireless Sensor Networks have proven their capability to deal with problems where wide and hardly accessible areas need to be monitored. Among the other systems there are also sensor networks in which nodes can (voluntarily) modify their positions to better adapt to changes of monitored phenomenon. One of the major issues arising in these situations is the energy consumption: as all the movements affect the batteries lifetime, the life of a sensor can be extended by equipping the device with power generators t… Show more

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Cited by 10 publications
(2 citation statements)
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“…However, this model ignores the impact of movement conditions. In [19], a PN-based modeling framework was presented for the evaluation of sensing, communication, and movement factors that contribute to energy dissipation in mobile wireless sensor nodes. The model provided by this framework ignores the system functionality.…”
Section: Related Workmentioning
confidence: 99%
“…However, this model ignores the impact of movement conditions. In [19], a PN-based modeling framework was presented for the evaluation of sensing, communication, and movement factors that contribute to energy dissipation in mobile wireless sensor nodes. The model provided by this framework ignores the system functionality.…”
Section: Related Workmentioning
confidence: 99%
“…A first example of such setups may be provided by environmental monitoring systems, based on the deployment of heterogeneous sensors in very large wild areas, such as forests, sea zones, dangerous locations (e.g. contaminated areas), where positioning and replacing defective nodes is expensive or complex and battery usage must be maximized to keep the network as much efficient as possible (see [D'Arienzo et al, 2013]). Another example is provided by emergency management systems, in which the IoT network is meant to support operations and safety of operators and other subjects may depend on the lifetime of the network, that allows a real-time situation about the target locations or physical infrastructures where the emergency situation arises, such as the case of an extended fire to be managed in a large industrial complex or in a skyscraper.…”
Section: Application Contextmentioning
confidence: 99%