Article

Heliomote: enabling long-lived sensor networks through solar energy harvesting

Authors:

Mani SrivastavaAuthors Info & Claims

SenSys '05: Proceedings of the 3rd international conference on Embedded networked sensor systems

Page 309

https://doi.org/10.1145/1098918.1098974

Published: 02 November 2005 Publication History

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Abstract

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Reference

[1]

V. Raghunathan, A. Kansal, J. Hsu, J. Friedman, and M. B. Srivastava. Design considerations for solar energy harvesting wireless embedded systems. In IEEE IPSN, pages 457--462, 2005.

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Chen JHawbani AXu XWang XZhao LLiu ZAlsamhi S(2024)A DRL-based Partial Charging Algorithm for Wireless Rechargeable Sensor NetworksACM Transactions on Sensor Networks10.1145/366199920:4(1-24)Online publication date: 8-Jul-2024
https://dl.acm.org/doi/10.1145/3661999
Budhathoki RPrakash Guragain D(2022)TT-Mote: An Architecture towards Perpetual Wireless Sensor Networks2022 4th International Conference on Sustainable Technologies for Industry 4.0 (STI)10.1109/STI56238.2022.10103263(1-5)Online publication date: 17-Dec-2022
https://doi.org/10.1109/STI56238.2022.10103263
Vidhya SMathi S(2022)Investigations on Power-Aware Solutions in Low Power Sensor NetworksInventive Communication and Computational Technologies10.1007/978-981-16-5529-6_69(911-925)Online publication date: 11-Jan-2022
https://doi.org/10.1007/978-981-16-5529-6_69
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Index Terms

Heliomote: enabling long-lived sensor networks through solar energy harvesting
1. Computer systems organization
  1. Embedded and cyber-physical systems
  2. Real-time systems

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Published In

SenSys '05: Proceedings of the 3rd international conference on Embedded networked sensor systems

November 2005

340 pages

ISBN:159593054X

DOI:10.1145/1098918

General Chair:
Jason Redi
BBN Technologies, USA
,
Program Chairs:
Hari Balakrishnan
University of Massachusetts, USA
,
Feng Zhao
Microsoft Research, USA

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 November 2005

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SenSys05

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SenSys05: ACM Conference on Embedded Network Sensor Systems

November 2 - 4, 2005

California, San Diego, USA

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Overall Acceptance Rate 174 of 867 submissions, 20%

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Chen JHawbani AXu XWang XZhao LLiu ZAlsamhi S(2024)A DRL-based Partial Charging Algorithm for Wireless Rechargeable Sensor NetworksACM Transactions on Sensor Networks10.1145/366199920:4(1-24)Online publication date: 8-Jul-2024
https://dl.acm.org/doi/10.1145/3661999
Budhathoki RPrakash Guragain D(2022)TT-Mote: An Architecture towards Perpetual Wireless Sensor Networks2022 4th International Conference on Sustainable Technologies for Industry 4.0 (STI)10.1109/STI56238.2022.10103263(1-5)Online publication date: 17-Dec-2022
https://doi.org/10.1109/STI56238.2022.10103263
Vidhya SMathi S(2022)Investigations on Power-Aware Solutions in Low Power Sensor NetworksInventive Communication and Computational Technologies10.1007/978-981-16-5529-6_69(911-925)Online publication date: 11-Jan-2022
https://doi.org/10.1007/978-981-16-5529-6_69
Ahmed S(2021)Realizing the Benefits of Energy Harvesting for IoTRole of IoT in Green Energy Systems10.4018/978-1-7998-6709-8.ch006(144-155)Online publication date: 2021
https://doi.org/10.4018/978-1-7998-6709-8.ch006
Rokonuzzaman MMishu MAmin NNadarajah MRoy RRahman KBuhari ABinzaid SShakeri MPasupuleti J(2021)Self-Sustained Autonomous Wireless Sensor Network with Integrated Solar Photovoltaic System for Internet of Smart Home-Building (IoSHB) ApplicationsMicromachines10.3390/mi1206065312:6(653)Online publication date: 2-Jun-2021
https://doi.org/10.3390/mi12060653
Im YKwak SPark JKim Y(2021)Intermittent FOCV Using an I-V Curve Tracer for Minimizing Energy LossApplied Sciences10.3390/app1119900611:19(9006)Online publication date: 27-Sep-2021
https://doi.org/10.3390/app11199006
Wang TGan YArena SChitkushev LZhang GRawassizadeh R(2021)Advances for Indoor Fitness Tracking, Coaching, and Motivation: A Review of Existing Technological AdvancesIEEE Systems, Man, and Cybernetics Magazine10.1109/MSMC.2020.30179367:1(4-14)Online publication date: Jan-2021
https://doi.org/10.1109/MSMC.2020.3017936
Sandhu MKhalifa SJurdak RPortmann M(2021)Task Scheduling for Energy-Harvesting-Based IoT: A Survey and Critical AnalysisIEEE Internet of Things Journal10.1109/JIOT.2021.30861868:18(13825-13848)Online publication date: 15-Sep-2021
https://doi.org/10.1109/JIOT.2021.3086186
Polyzoidis CRogdakis KKymakis E(2021)Indoor Perovskite Photovoltaics for the Internet of Things—Challenges and Opportunities toward Market UptakeAdvanced Energy Materials10.1002/aenm.20210185411:38Online publication date: 25-Aug-2021
https://doi.org/10.1002/aenm.202101854
Elahi HMunir KEugeni MAtek SGaudenzi P(2020)Energy Harvesting towards Self-Powered IoT DevicesEnergies10.3390/en1321552813:21(5528)Online publication date: 22-Oct-2020
https://doi.org/10.3390/en13215528
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