Maté: a tiny virtual machine for sensor networks
Proceedings of the 10th international conference on Architectural support for programming languages and operating systems
Contiki - A Lightweight and Flexible Operating System for Tiny Networked Sensors
LCN '04 Proceedings of the 29th Annual IEEE International Conference on Local Computer Networks
A virtual machine for sensor networks
Proceedings of the 2nd ACM SIGOPS/EuroSys European Conference on Computer Systems 2007
Darjeeling, a feature-rich VM for the resource poor
Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
Analytic comparison of wake-up receivers for WSNs and benefits over the wake-on radio scheme
Proceedings of the 7th ACM workshop on Performance monitoring and measurement of heterogeneous wireless and wired networks
Energy-efficient low power listening for wireless sensor networks in noisy environments
Proceedings of the 12th international conference on Information processing in sensor networks
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In spite of the availability of ultra-low-power microcontrollers and radio transceivers, the power consumption of an active sensor node is much higher than the power provided by state-of-the-art harvesters of suitable size and cost. Hence, the feasibility of energy-neutral wireless sensor networks mainly depends on the capability of the nodes to exploit idle periods to recover the energy spent to perform the tasks assigned to them. This paper discusses the main issues which prevent WSNs to fully exploit the idleness and presents a general power state model capturing the energy efficiency of a mote. VirtualSense motes are used as case study to characterize the proposed power state model and to illustrate its application.