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Idleness as a resource in energy-neutral WSNs

Authors:

Alessandro Bogliolo,

Emanuele Lattanzi,

Valerio FreschiAuthors Info & Claims

ENSSys '13: Proceedings of the 1st International Workshop on Energy Neutral Sensing Systems

Article No.: 12, Pages 1 - 6

https://doi.org/10.1145/2534208.2534214

Published: 13 November 2013 Publication History

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.

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Cited By

Lattanzi ECalisti LCapellacci P(2023)Lightweight accurate trigger to reduce power consumption in sensor-based continuous human activity recognitionPervasive and Mobile Computing10.1016/j.pmcj.2023.10184896(101848)Online publication date: Dec-2023
https://doi.org/10.1016/j.pmcj.2023.101848
Chéour RJmal MKhriji SEl Houssaini DTrigona CAbid MKanoun O(2021)Towards Hybrid Energy-Efficient Power Management in Wireless Sensor NetworksSensors10.3390/s2201030122:1(301)Online publication date: 31-Dec-2021
https://doi.org/10.3390/s22010301
Freschi VLattanzi E(2019)On the Stability of a Hardware Compensation Mechanism for Embedded Energy Harvesting EmulatorsComputers10.3390/computers80400788:4(78)Online publication date: 31-Oct-2019
https://doi.org/10.3390/computers8040078
Show More Cited By

Index Terms

Idleness as a resource in energy-neutral WSNs
1. Networks
  1. Network types
    1. Mobile networks
    2. Wireless access networks

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Published In

cover image ACM Conferences

ENSSys '13: Proceedings of the 1st International Workshop on Energy Neutral Sensing Systems

November 2013

94 pages

ISBN:9781450324328

DOI:10.1145/2534208

General Chairs:
Geoff V Merrett
Uni. Southampton, UK
,
Davide Brunelli
Uni. Trento, Italy

Copyright © 2013 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 13 November 2013

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Research-article

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SenSys '13

Sponsor:

SenSys '13: The 11th ACM Conference on Embedded Network Sensor Systems

November 13, 2013

Italy, Rome

Acceptance Rates

ENSSys '13 Paper Acceptance Rate 12 of 20 submissions, 60%;

Overall Acceptance Rate 21 of 29 submissions, 72%

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Cited By

Lattanzi ECalisti LCapellacci P(2023)Lightweight accurate trigger to reduce power consumption in sensor-based continuous human activity recognitionPervasive and Mobile Computing10.1016/j.pmcj.2023.10184896(101848)Online publication date: Dec-2023
https://doi.org/10.1016/j.pmcj.2023.101848
Chéour RJmal MKhriji SEl Houssaini DTrigona CAbid MKanoun O(2021)Towards Hybrid Energy-Efficient Power Management in Wireless Sensor NetworksSensors10.3390/s2201030122:1(301)Online publication date: 31-Dec-2021
https://doi.org/10.3390/s22010301
Freschi VLattanzi E(2019)On the Stability of a Hardware Compensation Mechanism for Embedded Energy Harvesting EmulatorsComputers10.3390/computers80400788:4(78)Online publication date: 31-Oct-2019
https://doi.org/10.3390/computers8040078
Lattanzi EFreschi V(2019)A Hardware Compensation Mechanism for Embedded Energy Harvesting EmulationIEEE Embedded Systems Letters10.1109/LES.2018.284446911:1(25-28)Online publication date: 1-Mar-2019
https://dl.acm.org/doi/10.1109/LES.2018.2844469
Freschi VLattanzi E(2019)A Study on the Impact of Packet Length on Communication in Low Power Wireless Sensor Networks Under InterferenceIEEE Internet of Things Journal10.1109/JIOT.2019.28918416:2(3820-3830)Online publication date: Apr-2019
https://doi.org/10.1109/JIOT.2019.2891841
Lattanzi EFreschi V(2019)In-Band Controllable Radio Interference Generation for Wireless Sensor NetworksIEEE Access10.1109/ACCESS.2019.29183827(66955-66963)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2918382
Chéour RJmal MAbid M(2018)New combined method for low energy consumption in Wireless Sensor Network applicationsSimulation10.1177/003754971875943294:10(873-885)Online publication date: 1-Oct-2018
https://dl.acm.org/doi/10.1177/0037549718759432
Lattanzi EDromedari MFreschi VBogliolo A(2017)Tuning the Complexity of Photovoltaic Array Models to Meet Real-time Constraints of Embedded Energy EmulatorsEnergies10.3390/en1003027810:3(278)Online publication date: 27-Feb-2017
https://doi.org/10.3390/en10030278
Piromalis DArvanitis K(2016)SensoTube: A Scalable Hardware Design Architecture for Wireless Sensors and Actuators Networks Nodes in the Agricultural DomainSensors10.3390/s1608122716:8(1227)Online publication date: 4-Aug-2016
https://doi.org/10.3390/s16081227
Lattanzi EFreschi VDromedari MLorello LPeruzzini RBogliolo A(2016)A fast and accurate energy source emulator for wireless sensor networksEURASIP Journal on Embedded Systems10.1186/s13639-016-0055-52016:1Online publication date: 3-Oct-2016
https://doi.org/10.1186/s13639-016-0055-5
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