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Energy-aware Dynamic Resource Allocation in Virtual Sensor Networks

Carmen Delgado, María Canales, Jorge Ortín, José Ramón Gállego, Alessandro Redondi, Sonda Bousnina, Matteo Cesana

TL;DR

An optimization framework that dynamically allocate applications into sensor nodes while accounting for the characteristics and limitations of the wireless sensor environment is proposed.

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.

Energy-aware Dynamic Resource Allocation in Virtual Sensor Networks

TL;DR

An optimization framework that dynamically allocate applications into sensor nodes while accounting for the characteristics and limitations of the wireless sensor environment is proposed.

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.
Paper Structure (4 sections, 7 equations, 2 figures)

This paper contains 4 sections, 7 equations, 2 figures.

Table of Contents

  1. Introduction
  2. System model and optimization framework
  3. Performance evaluation
  4. Conclusion

Figures (2)

  • Figure 1: Impact of moving cost $\delta$. a) Deployed applications. b) Number of movements c) Number of activations. $\varphi$ = 10 J.
  • Figure 2: Impact of activation cost $\varphi$. a) Deployed applications. b) Number of movements c) Number of activations. $\delta$ = 10 J.