Wake-up radio-enabled intermittently-powered devices for mesh networking: A power analysis
Wake-up radio-enabled intermittently-powered devices for mesh networking: A power analysis
This paper analyzes the successful communication probability between two intermittently-powered nodes in a homogeneous energy harvesting (EH) mesh network. Powering devices using EH can enable networks to operate indefinitely; however, with limited energy storage and in scarce EH conditions, nodes may only be intermittently-powered. This reduces the effectiveness of conventional networking techniques, where listening modes of radios deplete the storage too quickly, rendering nodes useless. This is particularly problematic in the deployment of mesh networks, where there is no provision of a high-power coordinator. To counter this, wake-up receivers (WuRxs) provide extended listening time without the need for a high power conventional radio, but with a cost to sensitivity. Therefore, listening time must be balanced with transmission and wake-to-receive cost, where if all the harvested energy is spent listening none remains to transmit, and vice versa. From stochastic analysis and simulation of the energy usage in mesh nodes, we obtain the optimum transmission load to maximize goodput, which is the rate of successful communications. We include the cost of each wake-up based on the network size in our goodput analysis. Simulations for a fixed number of homogeneous nodes verify this. Furthermore, we model and evaluate the energy consumption trade-off between transmit power and WuRx sensitivity to enable the maximum goodput.
Longman, Edward
bc1a7721-90e6-4ceb-ba0e-08216ee75d35
Cetinkaya, Oktay
6cb457a5-77b8-415d-b524-9e8728c35f0a
El Hajjar, Mohammed
c366ebe3-0c14-4704-82bd-25b08fea72d8
Merrett, Geoff
89b3a696-41de-44c3-89aa-b0aa29f54020
9 January 2021
Longman, Edward
bc1a7721-90e6-4ceb-ba0e-08216ee75d35
Cetinkaya, Oktay
6cb457a5-77b8-415d-b524-9e8728c35f0a
El Hajjar, Mohammed
c366ebe3-0c14-4704-82bd-25b08fea72d8
Merrett, Geoff
89b3a696-41de-44c3-89aa-b0aa29f54020
Longman, Edward, Cetinkaya, Oktay, El Hajjar, Mohammed and Merrett, Geoff
(2021)
Wake-up radio-enabled intermittently-powered devices for mesh networking: A power analysis.
IEEE Consumer Communications and Networking Conference, , Virtual Conference.
09 - 12 Jan 2021.
Record type:
Conference or Workshop Item
(Paper)
Abstract
This paper analyzes the successful communication probability between two intermittently-powered nodes in a homogeneous energy harvesting (EH) mesh network. Powering devices using EH can enable networks to operate indefinitely; however, with limited energy storage and in scarce EH conditions, nodes may only be intermittently-powered. This reduces the effectiveness of conventional networking techniques, where listening modes of radios deplete the storage too quickly, rendering nodes useless. This is particularly problematic in the deployment of mesh networks, where there is no provision of a high-power coordinator. To counter this, wake-up receivers (WuRxs) provide extended listening time without the need for a high power conventional radio, but with a cost to sensitivity. Therefore, listening time must be balanced with transmission and wake-to-receive cost, where if all the harvested energy is spent listening none remains to transmit, and vice versa. From stochastic analysis and simulation of the energy usage in mesh nodes, we obtain the optimum transmission load to maximize goodput, which is the rate of successful communications. We include the cost of each wake-up based on the network size in our goodput analysis. Simulations for a fixed number of homogeneous nodes verify this. Furthermore, we model and evaluate the energy consumption trade-off between transmit power and WuRx sensitivity to enable the maximum goodput.
Text
WuRx-enabled IPDs for Mesh Networking - A Power Analysis
- Accepted Manuscript
More information
Accepted/In Press date: 16 October 2020
Published date: 9 January 2021
Venue - Dates:
IEEE Consumer Communications and Networking Conference, , Virtual Conference, 2021-01-09 - 2021-01-12
Identifiers
Local EPrints ID: 445609
URI: http://eprints.soton.ac.uk/id/eprint/445609
PURE UUID: 64b9c411-c3ed-45ca-b25a-4b9810756c08
Catalogue record
Date deposited: 18 Dec 2020 17:30
Last modified: 19 Mar 2021 05:01
Export record
Contributors
Author:
Edward Longman
Author:
Oktay Cetinkaya
Author:
Mohammed El Hajjar
Author:
Geoff Merrett
University divisions
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics