Olesia Mokrenko

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Technological advances have made wireless sensor nodes cheap and reliable enough to be brought into various application domains. These nodes are powered by battery, thus they have a limited lifespan which is a major drawback for their acceptance. This paper addresses a power consumption control problem of wireless nodes equipped with batteries. Dynamic(More)
Wireless sensor nodes are now cheap and reliable enough to be deployed in different environments. However, their limited energy capacity limits their lifespan. In this paper, a power management strategy at network-level for a set of nodes is proposed. The control strategy makes use of a Hybrid Dynamical System approach, where solutions may continuously flow(More)
Optimization of the energy consumption of sensor networks is traditionally performed either at the sensor node level or at the network level. However, more energy savings can be obtained if the application that makes use of the sensor nodes is considered. In order to achieve such extra energy gains, control theory can be applied. This paper summarizes(More)
Energy optimisation in Wireless Sensor Networks (WSNs) is traditionally done either at the sensor node level or at the network level. To obtain even more energy savings, the final application must be considered. Control theory offers promising solutions to tackle this challenge. This paper details an implementation of a control strategy to minimise energy(More)
Technological advances have made wireless sensor nodes cheap and reliable enough to be brought into various application domains. The limited energy capacity of sensor nodes is the key factor that restricts their lifespan. In this paper, a Predictive Control strategy for Dynamic Power Management of a set of wireless sensor nodes is proposed. The control(More)
Wireless sensor nodes are now cheap and reliable enough to be deployed in different environments. However, their limited energy capacity limits their lifespan. In this paper, a Management strategy at network-level of a set of nodes is implemented, taking into account an estimation of the remaining energy in each sensor node. The control formulation is based(More)
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