Abstract
Reducing energy consumption of wireless sensor nodes extends battery life and / or enables the use of energy harvesting and thus makes feasible many applications that might otherwise be impossible, too costly or require constant maintenance. However, theoretical approaches proposed to date that minimise WSN energy needs generally lead to less than expected savings in practice. We examine experiences of tuning the energy profile for two near-production wireless sensor systems and demonstrate the need for (a) microbenchmark-based energy consumption profiling, (b) examining start-up costs, and (c) monitoring the nodes during long-term deployments. The tuning exercise resulted in reductions in energy consumption of a) 93% for a multihop Telos-based system (average power 0.029 mW) b) 94.7% for a single hop Ti- 8051-based system during startup, and c) 39% for a Ti- 8051 system post start-up. The work reported shows that reducing the energy consumption of a node requires a whole system view, not just measurement of a “typical” sensing cycle. We give both generic lessons and specific application examples that provide guidance for practical WSN design and deployment.
Original language | English |
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Pages (from-to) | 6072-6080 |
Journal | IEEE Sensors Journal |
Volume | 16 |
Issue number | 15 |
Early online date | 18 May 2016 |
DOIs | |
Publication status | Published - 1 Aug 2016 |
Bibliographical note
The full text is also available from: http://dx.doi.org/10.1109/JSEN.2016.2570420© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords
- Current measurement
- Engines
- Monitoring
- Temperature sensors
- Wireless communication
- Wireless sensor networks
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James Brusey
- Research Centre for Computational Science and Mathematical Modelling - Professor of Computer Science, Centre Director
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