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Power-Aware Neighbor Discovery for Energy Harvesting Things: Demo Abstract

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Gil ZussmanAuthors Info & Claims

SenSys '16: Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems CD-ROM

Pages 312 - 313

https://doi.org/10.1145/2994551.2996538

Published: 14 November 2016 Publication History

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Abstract

Object tracking applications are gaining popularity and will soon utilize energy harvesting low-power wireless nodes where power is mostly consumed for neighbor discovery. Such applications require the design and experimentation with low-power neighbor discovery protocols. We demonstrate the Panda protocol [4, 5] implementation using commercial off-the-shelf energy harvesting devices, based on the TI eZ430-RF2500-SEH prototype. The prototypes harvest indoor light energy to perform power-aware neighbor discovery, while maintaining a power budget. A custom-designed online monitoring system interactively demonstrates the network dynamics, including the energy storage levels of the devices, the neighbor discovery events, and aggregate discovery statistics.

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R. Margolies, G. Grebla, T. Chen, D. Rubenstein, and G. Zussman. Panda: Neighbor discovery on a power harvesting budget. In Proc. IEEE INFOCOM'16, 2016.

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R. Margolies, G. Grebla, T. Chen, D. Rubenstein, and G. Zussman. Panda: Neighbor discovery on a power harvesting budget. IEEE J. Sel. Areas Commun. (to appear), 2016.

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Chen TGhaderi JRubenstein DZussman G(2018)Maximizing Broadcast Throughput Under Ultra-Low-Power ConstraintsIEEE/ACM Transactions on Networking10.1109/TNET.2018.280518526:2(779-792)Online publication date: Apr-2018
https://doi.org/10.1109/TNET.2018.2805185
Chen TGhaderi JRubenstein DZussman GMarkopoulou AFaloutsos MSekar VKostic D(2016)Maximizing Broadcast Throughput Under Ultra-Low-Power ConstraintsProceedings of the 12th International on Conference on emerging Networking EXperiments and Technologies10.1145/2999572.2999608(457-471)Online publication date: 6-Dec-2016
https://dl.acm.org/doi/10.1145/2999572.2999608

Power-Aware Neighbor Discovery for Energy Harvesting Things: Demo Abstract
1. Networks
  1. Network types

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SenSys '16: Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems CD-ROM

November 2016

398 pages

ISBN:9781450342636

DOI:10.1145/2994551

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Published: 14 November 2016

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November 14 - 16, 2016

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Chen TGhaderi JRubenstein DZussman G(2018)Maximizing Broadcast Throughput Under Ultra-Low-Power ConstraintsIEEE/ACM Transactions on Networking10.1109/TNET.2018.280518526:2(779-792)Online publication date: Apr-2018
https://doi.org/10.1109/TNET.2018.2805185
Chen TGhaderi JRubenstein DZussman GMarkopoulou AFaloutsos MSekar VKostic D(2016)Maximizing Broadcast Throughput Under Ultra-Low-Power ConstraintsProceedings of the 12th International on Conference on emerging Networking EXperiments and Technologies10.1145/2999572.2999608(457-471)Online publication date: 6-Dec-2016
https://dl.acm.org/doi/10.1145/2999572.2999608

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Networking Low-Power Energy Harvesting Devices: Measurements and Algorithms

Energy harvesting aware topology control with power adaptation in wireless sensor networks

Prediction free energy neutral power management for energy harvesting wireless sensor nodes

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Networking Low-Power Energy Harvesting Devices: Measurements and Algorithms

Energy harvesting aware topology control with power adaptation in wireless sensor networks

Prediction free energy neutral power management for energy harvesting wireless sensor nodes

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