Embedded power supply for low-power DSP
IEEE Transactions on Very Large Scale Integration (VLSI) Systems - Special issue on low power electronics and design
Energy efficient CMOS microprocessor design
HICSS '95 Proceedings of the 28th Hawaii International Conference on System Sciences
Power management for energy-aware communication systems
ACM Transactions on Embedded Computing Systems (TECS)
Proceedings of the 3rd ACM international workshop on Performance evaluation of wireless ad hoc, sensor and ubiquitous networks
Minimizing energy consumption of banked memories using data recomputation
Proceedings of the 2006 international symposium on Low power electronics and design
Wireless sensor network survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Increasing ZigBee network lifetime with X-MAC
Proceedings of the workshop on Real-world wireless sensor networks
End-to-End Energy Management in Networked Real-Time Embedded Systems
IEEE Transactions on Parallel and Distributed Systems
Performance analysis of GTS allocation in beacon enabled IEEE 802.15.4
SECON'09 Proceedings of the 6th Annual IEEE communications society conference on Sensor, Mesh and Ad Hoc Communications and Networks
Applications, challenges, and prospective in emerging body area networking technologies
IEEE Wireless Communications
Minimizing Energy Consumption in Body Sensor Networks via Convex Optimization
BSN '10 Proceedings of the 2010 International Conference on Body Sensor Networks
GTS allocation analysis in IEEE 802.15.4 for real-time wireless sensor networks
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
A Comprehensive Survey of Wireless Body Area Networks
Journal of Medical Systems
IEEE Transactions on Information Technology in Biomedicine
Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems
BodyNets '13 Proceedings of the 8th International Conference on Body Area Networks
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Wireless sensor networks (WNSs) are gradually evolving from a promising technology to a well-established reality in a large set of different domains. In order to fulfill the requirements of the specific scenario, a WSN must provide the right tradeoff between performance and lifetime, which is heavily determined by the network design. However, although the complexity of WSNs is increasing, the design space exploration is often carried out manually without the support of a general analytical methodology. In this paper, we advocate a model-based approach as an efficient and scalable way to explore the energy-performance tradeoffs during the design. In particular, we show that it is possible to define system-level models to describe wide classes of WSNs, providing a quick and accurate network evaluation. As a proof of concept, we propose a general model that describes the main characteristics of a class of WSNs for human health monitoring, and we apply it to a real case study. The results show that the energy-performance estimation error of the model never exceeds 1.74% compared to real data, while the evaluation time is reduced by up to 6 orders of magnitude with respect to an accurate network simulation.