Logo image
Measuring and modeling the energy cost of reconfiguration in sensor networks
Journal article   Open access   Peer reviewed

Measuring and modeling the energy cost of reconfiguration in sensor networks

G.S. Ramachandran, W. Daniels, N. Matthys, C. Huygens, S. Michiels, W. Joosen, J. Meneghello, K. Lee, E. Canete, M.D. Rodriguez, …
IEEE Sensors Journal, Vol.15(6), pp.3381-3389
2015
pdf
07001631.pdfDownloadView
Author’s Version Open Access
url
Link to Published Version *Subscription may be requiredView

Abstract

As wireless sensor networks (WSNs) must operate for long periods on a limited power budget, estimating the energy cost of software operations is critical. Contemporary reconfiguration approaches for WSN allow for software evolution at various granularities; from reflashing of a complete software image, through replacement of complete applications, to the reconfiguration of individual software components. This paper contributes a generic model for measuring and modeling the energy cost of reconfiguration in WSN. We validate that this model is accurate in the face of different hardware platforms, software stacks, and software encapsulation approaches. We have embedded this model in the loosely coupled component infrastructure middleware, resulting in the first energy aware reconfigurable component model for sensor networks. We evaluate our approach using two real-world WSN applications and demonstrate that our model predicts the energy cost of reconfiguration with 93% accuracy. Using this model, we demonstrate that selecting the most appropriate software modularization approach is key to minimizing energy consumption.

Details

Metrics

114 File views/ downloads
38 Record Views

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types
Domestic collaboration
International collaboration
Citation topics
4 Electrical Engineering, Electronics & Computer Science
4.13 Telecommunications
4.13.43 Wireless Sensor Networks
Web Of Science research areas
Engineering, Electrical & Electronic
Instruments & Instrumentation
Physics, Applied
ESI research areas
Engineering
Logo image