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Showing papers by "Emanuele Lattanzi published in 2013"


Journal ArticleDOI
TL;DR: An ultrasonic wake-up trigger for ultra-low-power wireless sensor nodes developed as a plug-in module for VirtualSense motes is presented and the additional degrees of freedom introduced by ultrasonic triggering in the power-state diagram of VirtualSense are discussed.
Abstract: Wireless sensor nodes spend most of the time waiting either for sensed data or for packets to be routed to the sink. While on board, sensors can raise hardware interrupts to trigger the wake-up of the processor, incoming packets require the radio module to be turned on in order to be properly received and processed; thus, reducing the effectiveness of dynamic power management and exposing the node to unintended packets cause energy waste. The capability of triggering the wake-up of a node over the air would makes it possible to keep the entire network asleep and to wake up the nodes along a path to the sink whenever there is a packet to transmit. This paper presents an ultrasonic wake-up trigger for ultra-low-power wireless sensor nodes developed as a plug-in module for VirtualSense motes. The module supports a simple out-of-band addressing scheme to enable the selective wake-up of a target node. In addition, it makes it possible to exploit the propagation speed of ultrasonic signals to perform distance measurements. The paper outlines the design choices, reports the results of extensive measurements, and discusses the additional degrees of freedom introduced by ultrasonic triggering in the power-state diagram of VirtualSense.

23 citations


Proceedings ArticleDOI
13 Nov 2013
TL;DR: The main issues which prevent WSNs to fully exploit the idleness are discussed and a general power state model capturing the energy efficiency of a mote is presented that can be applied to energy-neutral wireless sensor networks.
Abstract: 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.

15 citations


Proceedings ArticleDOI
11 Nov 2013
TL;DR: The possible use of VirtualSense ultrasonic wake-up modules as distance estimators is shown, which can be used to perform pairwise distance measurements that can be exploited for localization.
Abstract: Out-of-band signaling provides a valuable support to the management of wireless sensor networks. Among other signals, sound has a propagation speed in air which is fast enough to be neglected in typical sensor network applications, and slow enough to be measured by means of low-cost embedded systems. An ultrasonic triggering mechanism has been recently developed for VirtualSense, an ultra-low-power sensor node featuring a Java runtime environment. Ultrasonic triggers provide on-demand wakeup capabilities that can be exploited by routing nodes to be switched on whenever there is a packet to be routed towards the sink, while spending all the idle time in an ultra low power inactive state where even the radio module is turned off. In addition, the same hardware components can be used to perform pairwise distance measurements that can be exploited for localization. In this demonstration we show the possible use of VirtualSense ultrasonic wake-up modules as distance estimators.

1 citations


Proceedings ArticleDOI
09 Jun 2013
TL;DR: This paper exploits statistical geometry to derive robust estimators of the pairwise Euclidean distances from topological information typically available in any network.
Abstract: Algorithmic approaches to the estimation of pairwise distances between the nodes of a wireless sensor network are highly attractive to provide information for routing and localization without requiring specific hardware to be added to cost/resource-constrained nodes. This paper exploits statistical geometry to derive robust estimators of the pairwise Euclidean distances from topological information typically available in any network. Extensive Monte Carlo experiments conducted on synthetic benchmarks demonstrate the improved quality of the proposed estimators with respect to the state of the art.