Architecture of a Power-Gated Wireless Sensor Node

Panić, Goran; Dietterle, Daniel; Stamenković, Zoran

doi:10.1109/dsd.2008.44

Cited by 7 publications

(3 citation statements)

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“…While this solution is only proposed and not realised, it is still by far more complex and power hungry than the solution described in this paper since the low‐end microprocessor still has to be powered. A similar architecture based on the use of an ad‐hoc controller is also discussed by Panic et al [38, 39].…”

Section: Related Workmentioning

confidence: 99%

Low‐cost power gating solution to increase energy efficiency optimising duty cycling in wireless sensor nodes with power‐hungry sensors

Pinzi

Pozzebon

2019

IET wirel. sens. syst.

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In this study, a solution focusing on energy efficiency of wireless sensor nodes is presented. Energy dissipation is a key factor affecting the usability of wireless sensor networks (WSNs) in that, in worst cases, in systems without electric mains, the life of a sensor node battery may last even only a few hours. The proposed solution is characterised by very low costs thanks to the use of a small number of electronic components: it allows the optimisation of duty cycling (i.e. the ratio between activity and inactivity periods of sensor nodes) by power gating the node (i.e. turning the whole circuitry off). In particular, this solution is useful for applications that use active power-hungry sensors that are sampled regularly 10 to 1000 times a day. The described power control logic system is able to optimise the duty cycling, notably reducing the power consumption during idle periods, thus increasing the battery life at best up to 100-200 times: this means that the autonomous operation time of a WSN can increase from a few days to several months or even to some years according to the required sampling rate.

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Section: Related Workmentioning

confidence: 99%

Low‐cost power gating solution to increase energy efficiency optimising duty cycling in wireless sensor nodes with power‐hungry sensors

Pinzi

Pozzebon

2019

IET wirel. sens. syst.

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“…Some of them deal with saving energy at MAC (Media Access Control) level [7], [8], [9], others at routing protocols [10], [11], [12], third with dissemination data aggregations or fusion [13], [14], fourth with involving novel architectures that utilize the optimized radio and digital parts [15], [16], [17], fifth employ on-chip power gating in order to reduce the static power loss [18], [19]. To address the problem of power saving within a SN, two promising approaches based on dynamic voltage scaling [20], [21] and power gating [22], [23] are used. The first represents a useful solution for high performance SNs, while the second is effective in SNs operating with low duty-cycle where the SNs alter between off and on states to minimize the energy consumption [22], [16], [17].…”

Section: Introductionmentioning

confidence: 99%

“…To address the problem of power saving within a SN, two promising approaches based on dynamic voltage scaling [20], [21] and power gating [22], [23] are used. The first represents a useful solution for high performance SNs, while the second is effective in SNs operating with low duty-cycle where the SNs alter between off and on states to minimize the energy consumption [22], [16], [17].…”

Section: Introductionmentioning

confidence: 99%

Wireless sensor node with low-power sensing

et al. 2014

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Wireless sensor network consists of a large number of simple sensor nodes that collect information from external environment with sensors, then process the information, and communicate with other neighboring nodes in the network. Usually, sensor nodes operate with exhaustible batteries unattended. Since manual replacement or recharging of the batteries is not an easy, desirable or always possible task, the power consumption becomes a very important issue in the development of these networks. The total power consumption of a node is a result of all steps of the operation: sensing, data processing and radio transmission. In most published papers in literature it is assumed that the sensing subsystem consumes significantly less energy than a radio block. However, this assumption does not apply in numerous applications, especially in the case when power consumption of the sensing activity is comparably bigger than that of a radio. In that context, in this work we focus on the impact of the sensing hardware on the total power consumption of a sensor node. Firstly, we describe the structure of the sensor node architecture, identify its key energy consumption sources, and introduce an energy model for the sensing subsystem as a building block of a node. Secondly, with the aim to reduce energy consumption we investigate joint effectiveness of two common power-saving techniques in a specific sensor node: duty-cycling and power-gating. Duty-cycling is effective at the system level. It is used for switching a node between active and sleep mode (with the dutycycle factor of 1%, the reduction of in dynamic energy consumption is achieved). Power-gating is used at the circuit level with the goal to decrease the power loss due to the leakage current (in our design, the reduction of dynamic and static energy consumption of off-chip sensor elements as constituents of sensing hardware within a node of is achieved). Compared to a sensor node architecture in which both energy saving techniques are omitted, the conducted MATLAB simulation results suggest that in total, thanks to involving duty-cycling and power-gating techniques, a three order of magnitude reduction for sensing activities in energy consumption can be achieved.

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