Sensor network virtualization enables the possibility of sharing common physical resources to multiple stakeholder applications. This paper focuses on addressing the dynamic adaptation of already assigned virtual sensor network resources to respond to time varying application demands. We propose an optimization framework that dynamically allocate applications into sensor nodes while accounting for the characteristics and limitations of the wireless sensor environment. It takes also into account the additional energy consumption related to activating new nodes and/or moving already active applications. Different objective functions related to the available energy in the nodes are analyzed. The proposed framework is evaluated by simulation considering realistic parameters from actual sensor nodes and deployed applications to assess the efficiency of the proposals.

Energy-aware dynamic resource allocation in virtual sensor networks

Redondi, Alessandro;BOUSNINA, SONDA;Cesana, Matteo
2017

Abstract

Sensor network virtualization enables the possibility of sharing common physical resources to multiple stakeholder applications. This paper focuses on addressing the dynamic adaptation of already assigned virtual sensor network resources to respond to time varying application demands. We propose an optimization framework that dynamically allocate applications into sensor nodes while accounting for the characteristics and limitations of the wireless sensor environment. It takes also into account the additional energy consumption related to activating new nodes and/or moving already active applications. Different objective functions related to the available energy in the nodes are analyzed. The proposed framework is evaluated by simulation considering realistic parameters from actual sensor nodes and deployed applications to assess the efficiency of the proposals.
2017 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017
9781509061969
Computer Networks and Communications; Computer Science Applications1707 Computer Vision and Pattern Recognition; Hardware and Architecture; Communication
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/1057682
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