Node identification using clock skew

Ibrahim Ethem Bagci; Utz Roedig

doi:10.1007/978-3-319-03071-5_14

Node identification using clock skew

Ibrahim Ethem Bagci
, Utz Roedig

Lancaster University

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

Abstract

Clocks on wireless sensor nodes experience a natural drift. This clock skew is unique for each node as it depends on the clocks manufacturing characteristics. Clock skew can be used as unique node identifier which is, among other applications, useful for node authentication.We describe how clock skew of a node's clock can be measured directly on a node by utilising the available high precision radio transceiver clock. We detail an implementation of this proposed local clock skew tracking method for the Zolertia Z1 platform. We determine the required sampling effort to accurately determine clock skew. We also discuss how clock skew measurements can be aligned with existing transceiver operations in order to avoid an increase in energy consumption.

Original language	English
Title of host publication	Real-World Wireless Sensor Networks - Proceedings of the 5th International Workshop, REALWSN 2013
Publisher	Springer Verlag
Pages	111-123
Number of pages	13
ISBN (Print)	9783319030708
DOIs	https://doi.org/10.1007/978-3-319-03071-5_14
Publication status	Published - 2014
Externally published	Yes
Event	5th International Workshop on Real-World Wireless Sensor Networks, REALWSN 2013 - Como, Italy Duration: 19 Sep 2013 → 20 Sep 2013

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	281 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	5th International Workshop on Real-World Wireless Sensor Networks, REALWSN 2013
Country/Territory	Italy
City	Como
Period	19/09/13 → 20/09/13

UN SDGs

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

SDG 9 Industry, Innovation, and Infrastructure

Access to Document

10.1007/978-3-319-03071-5_14

Cite this

@inproceedings{d3afb3b572f1499eb3a268988bcd4fe3,

title = "Node identification using clock skew",

abstract = "Clocks on wireless sensor nodes experience a natural drift. This clock skew is unique for each node as it depends on the clocks manufacturing characteristics. Clock skew can be used as unique node identifier which is, among other applications, useful for node authentication.We describe how clock skew of a node's clock can be measured directly on a node by utilising the available high precision radio transceiver clock. We detail an implementation of this proposed local clock skew tracking method for the Zolertia Z1 platform. We determine the required sampling effort to accurately determine clock skew. We also discuss how clock skew measurements can be aligned with existing transceiver operations in order to avoid an increase in energy consumption.",

author = "Bagci, \{Ibrahim Ethem\} and Utz Roedig",

year = "2014",

doi = "10.1007/978-3-319-03071-5\_14",

language = "English",

isbn = "9783319030708",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Verlag",

pages = "111--123",

booktitle = "Real-World Wireless Sensor Networks - Proceedings of the 5th International Workshop, REALWSN 2013",

address = "Germany",

note = "5th International Workshop on Real-World Wireless Sensor Networks, REALWSN 2013 ; Conference date: 19-09-2013 Through 20-09-2013",

}

Bagci, IE & Roedig, U 2014, Node identification using clock skew. in Real-World Wireless Sensor Networks - Proceedings of the 5th International Workshop, REALWSN 2013. Lecture Notes in Electrical Engineering, vol. 281 LNEE, Springer Verlag, pp. 111-123, 5th International Workshop on Real-World Wireless Sensor Networks, REALWSN 2013, Como, Italy, 19/09/13. https://doi.org/10.1007/978-3-319-03071-5_14

TY - GEN

T1 - Node identification using clock skew

AU - Bagci, Ibrahim Ethem

AU - Roedig, Utz

PY - 2014

Y1 - 2014

N2 - Clocks on wireless sensor nodes experience a natural drift. This clock skew is unique for each node as it depends on the clocks manufacturing characteristics. Clock skew can be used as unique node identifier which is, among other applications, useful for node authentication.We describe how clock skew of a node's clock can be measured directly on a node by utilising the available high precision radio transceiver clock. We detail an implementation of this proposed local clock skew tracking method for the Zolertia Z1 platform. We determine the required sampling effort to accurately determine clock skew. We also discuss how clock skew measurements can be aligned with existing transceiver operations in order to avoid an increase in energy consumption.

AB - Clocks on wireless sensor nodes experience a natural drift. This clock skew is unique for each node as it depends on the clocks manufacturing characteristics. Clock skew can be used as unique node identifier which is, among other applications, useful for node authentication.We describe how clock skew of a node's clock can be measured directly on a node by utilising the available high precision radio transceiver clock. We detail an implementation of this proposed local clock skew tracking method for the Zolertia Z1 platform. We determine the required sampling effort to accurately determine clock skew. We also discuss how clock skew measurements can be aligned with existing transceiver operations in order to avoid an increase in energy consumption.

UR - https://www.scopus.com/pages/publications/84958521374

U2 - 10.1007/978-3-319-03071-5_14

DO - 10.1007/978-3-319-03071-5_14

M3 - Conference proceeding

AN - SCOPUS:84958521374

SN - 9783319030708

T3 - Lecture Notes in Electrical Engineering

SP - 111

EP - 123

BT - Real-World Wireless Sensor Networks - Proceedings of the 5th International Workshop, REALWSN 2013

PB - Springer Verlag

T2 - 5th International Workshop on Real-World Wireless Sensor Networks, REALWSN 2013

Y2 - 19 September 2013 through 20 September 2013

ER -

Node identification using clock skew

Abstract

Publication series

Conference

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this