Bluetooth RSSI Signal Chaining for Mesh Network Analysis

Brendan Black; Joseph Rafferty; Jose Santos; Andrew Ennis

doi:10.1109/SWC50871.2021.00042

Bluetooth RSSI Signal Chaining for Mesh Network Analysis

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Mesh Networking over time has gained increased traction within the Internet of Things. It enables mass collection of data while also establishing new signal transmission pathways to avoid unnecessary depletion factors such as Material Penetration or Environmental factors like Weather generated interference. However, Mesh Networks have a lower power consumption efficiency due to the transceiver nodes power division. This has a direct impact on the Received Signal Strength Indicator (RSSI) measurement. This power difference can, therefore, result in inaccuracies for applications which employ RSSI Based location algorithm for user tracking to occur as these are designed for Peer-to-Peer (P2P) communication. Additionally, through chaining the source RSSI to any given endpoint it also becomes possible to provide an estimated endpoint destination distance measurement which could be applied for user location services within Emergency Response situations. This study, therefore, investigates the offset generated by Mesh networking. An average loss of 5.75 dBm for reception and an average loss of 6.577 dBm for transmission was identified within the bridging node due to the power split. Additionally, when chaining the RSSI across 30.48 m, this offset was found to present an average decrease of power signal strength efficiency of 202% within the system setup when compared to that of the P2P setup.

Original language	English
Title of host publication	2021 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/IOP/SCI)
Publisher	IEEE
ISBN (Electronic)	978-1-6654-1236-0
ISBN (Print)	978-1-6654-2955-9
DOIs	https://doi.org/10.1109/SWC50871.2021.00042
Publication status	Published (in print/issue) - 18 Nov 2021
Event	the 21st IEEE International Conference on Scalable Computing and Communications - Atlanta, United States Duration: 18 Oct 2021 → 21 Dec 2021 http://ieeesmartworld.org/scalcom/

Conference

Conference	the 21st IEEE International Conference on Scalable Computing and Communications
Abbreviated title	ScalCom2021
Country/Territory	United States
City	Atlanta
Period	18/10/21 → 21/12/21
Internet address	http://ieeesmartworld.org/scalcom/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities

Access to Document

10.1109/SWC50871.2021.00042

Cite this

Black, B., Rafferty, J., Santos, J., & Ennis, A. (2021). Bluetooth RSSI Signal Chaining for Mesh Network Analysis. In 2021 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/IOP/SCI) IEEE. https://doi.org/10.1109/SWC50871.2021.00042

@inproceedings{664f70e1d89d4ac8ab97055f07dc8c93,

title = "Bluetooth RSSI Signal Chaining for Mesh Network Analysis",

abstract = "Mesh Networking over time has gained increased traction within the Internet of Things. It enables mass collection of data while also establishing new signal transmission pathways to avoid unnecessary depletion factors such as Material Penetration or Environmental factors like Weather generated interference. However, Mesh Networks have a lower power consumption efficiency due to the transceiver nodes power division. This has a direct impact on the Received Signal Strength Indicator (RSSI) measurement. This power difference can, therefore, result in inaccuracies for applications which employ RSSI Based location algorithm for user tracking to occur as these are designed for Peer-to-Peer (P2P) communication. Additionally, through chaining the source RSSI to any given endpoint it also becomes possible to provide an estimated endpoint destination distance measurement which could be applied for user location services within Emergency Response situations. This study, therefore, investigates the offset generated by Mesh networking. An average loss of 5.75 dBm for reception and an average loss of 6.577 dBm for transmission was identified within the bridging node due to the power split. Additionally, when chaining the RSSI across 30.48 m, this offset was found to present an average decrease of power signal strength efficiency of 202\% within the system setup when compared to that of the P2P setup.",

author = "Brendan Black and Joseph Rafferty and Jose Santos and Andrew Ennis",

year = "2021",

month = nov,

day = "18",

doi = "10.1109/SWC50871.2021.00042",

language = "English",

isbn = "978-1-6654-2955-9",

booktitle = "2021 IEEE SmartWorld, Ubiquitous Intelligence \& Computing, Advanced \& Trusted Computing, Scalable Computing \& Communications, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/IOP/SCI)",

publisher = "IEEE",

address = "United States",

note = "the 21st IEEE International Conference on Scalable Computing and Communications, ScalCom2021 ; Conference date: 18-10-2021 Through 21-12-2021",

url = "http://ieeesmartworld.org/scalcom/",

}

Black, B, Rafferty, J , Santos, J & Ennis, A 2021, Bluetooth RSSI Signal Chaining for Mesh Network Analysis. in 2021 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/IOP/SCI). IEEE, the 21st IEEE International Conference on Scalable Computing and Communications, Atlanta, United States, 18/10/21. https://doi.org/10.1109/SWC50871.2021.00042

Bluetooth RSSI Signal Chaining for Mesh Network Analysis. / Black, Brendan; Rafferty, Joseph ; Santos, Jose et al.
2021 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/IOP/SCI). IEEE, 2021.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Bluetooth RSSI Signal Chaining for Mesh Network Analysis

AU - Black, Brendan

AU - Rafferty, Joseph

AU - Santos, Jose

AU - Ennis, Andrew

PY - 2021/11/18

Y1 - 2021/11/18

N2 - Mesh Networking over time has gained increased traction within the Internet of Things. It enables mass collection of data while also establishing new signal transmission pathways to avoid unnecessary depletion factors such as Material Penetration or Environmental factors like Weather generated interference. However, Mesh Networks have a lower power consumption efficiency due to the transceiver nodes power division. This has a direct impact on the Received Signal Strength Indicator (RSSI) measurement. This power difference can, therefore, result in inaccuracies for applications which employ RSSI Based location algorithm for user tracking to occur as these are designed for Peer-to-Peer (P2P) communication. Additionally, through chaining the source RSSI to any given endpoint it also becomes possible to provide an estimated endpoint destination distance measurement which could be applied for user location services within Emergency Response situations. This study, therefore, investigates the offset generated by Mesh networking. An average loss of 5.75 dBm for reception and an average loss of 6.577 dBm for transmission was identified within the bridging node due to the power split. Additionally, when chaining the RSSI across 30.48 m, this offset was found to present an average decrease of power signal strength efficiency of 202% within the system setup when compared to that of the P2P setup.

AB - Mesh Networking over time has gained increased traction within the Internet of Things. It enables mass collection of data while also establishing new signal transmission pathways to avoid unnecessary depletion factors such as Material Penetration or Environmental factors like Weather generated interference. However, Mesh Networks have a lower power consumption efficiency due to the transceiver nodes power division. This has a direct impact on the Received Signal Strength Indicator (RSSI) measurement. This power difference can, therefore, result in inaccuracies for applications which employ RSSI Based location algorithm for user tracking to occur as these are designed for Peer-to-Peer (P2P) communication. Additionally, through chaining the source RSSI to any given endpoint it also becomes possible to provide an estimated endpoint destination distance measurement which could be applied for user location services within Emergency Response situations. This study, therefore, investigates the offset generated by Mesh networking. An average loss of 5.75 dBm for reception and an average loss of 6.577 dBm for transmission was identified within the bridging node due to the power split. Additionally, when chaining the RSSI across 30.48 m, this offset was found to present an average decrease of power signal strength efficiency of 202% within the system setup when compared to that of the P2P setup.

UR - http://ieeesmartworld.org/scalcom/

U2 - 10.1109/SWC50871.2021.00042

DO - 10.1109/SWC50871.2021.00042

M3 - Conference contribution

SN - 978-1-6654-2955-9

BT - 2021 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/IOP/SCI)

PB - IEEE

T2 - the 21st IEEE International Conference on Scalable Computing and Communications

Y2 - 18 October 2021 through 21 December 2021

ER -

Bluetooth RSSI Signal Chaining for Mesh Network Analysis

Abstract

Conference

UN SDGs

Access to Document

Other files and links

Fingerprint

Wireless communications in times of crisis: a systematic approach to enhancing disaster relief networks

Cite this

Bluetooth RSSI Signal Chaining for Mesh Network Analysis

Abstract

Conference

UN SDGs

Access to Document

Other files and links

Fingerprint

Student theses

Wireless communications in times of crisis: a systematic approach to enhancing disaster relief networks

Cite this