Movement-based Group Awareness with Wireless Sensor Networks

Raluca Marin Perianu, Mihai Marin Perianu, Paul J.M. Havinga, Johan Scholten

Research output: Book/ReportReportProfessional

28 Citations (Scopus)
67 Downloads (Pure)

Abstract

We propose a method through which dynamic sensor nodes determine that they move together, by communicating and correlating their movement information. We describe two possible solutions, one using inexpensive tilt switches, and another one using low-cost MEMS accelerometers. We implement a fast, incremental correlation algorithm, with an execution time of 6ms, which can run on resource constrained devices. The tests with the implementation on real sensor nodes show that the method is reliable and distinguishes between joint and separate movements. In addition, we analyze the scalability from four different perspectives: communication, energy, memory and execution speed. The solution using tilt switches proves to be simpler, cheaper and more energy efficient, while the accelerometer-based solution is more reliable, more robust to sensor alignment problems and, potentially, more accurate by using extended features, such as speed and distance.
Original languageUndefined
Place of PublicationEnschede
PublisherCentre for Telematics and Information Technology (CTIT)
Number of pages19
Publication statusPublished - 30 Jan 2007

Publication series

NameCTIT Technical Report Series
PublisherCentre for Telematics and Information Technology, University of Twente
No.TR-CTIT-07-06
ISSN (Print)1381-3625

Keywords

  • CAES-PS: Pervasive Systems
  • IR-66944
  • EWI-9261
  • METIS-242155

Cite this

Marin Perianu, R., Marin Perianu, M., Havinga, P. J. M., & Scholten, J. (2007). Movement-based Group Awareness with Wireless Sensor Networks. (CTIT Technical Report Series; No. TR-CTIT-07-06). Enschede: Centre for Telematics and Information Technology (CTIT).
Marin Perianu, Raluca ; Marin Perianu, Mihai ; Havinga, Paul J.M. ; Scholten, Johan. / Movement-based Group Awareness with Wireless Sensor Networks. Enschede : Centre for Telematics and Information Technology (CTIT), 2007. 19 p. (CTIT Technical Report Series; TR-CTIT-07-06).
@book{8cc4081b08d44d9fa53b9972ac5043b0,
title = "Movement-based Group Awareness with Wireless Sensor Networks",
abstract = "We propose a method through which dynamic sensor nodes determine that they move together, by communicating and correlating their movement information. We describe two possible solutions, one using inexpensive tilt switches, and another one using low-cost MEMS accelerometers. We implement a fast, incremental correlation algorithm, with an execution time of 6ms, which can run on resource constrained devices. The tests with the implementation on real sensor nodes show that the method is reliable and distinguishes between joint and separate movements. In addition, we analyze the scalability from four different perspectives: communication, energy, memory and execution speed. The solution using tilt switches proves to be simpler, cheaper and more energy efficient, while the accelerometer-based solution is more reliable, more robust to sensor alignment problems and, potentially, more accurate by using extended features, such as speed and distance.",
keywords = "CAES-PS: Pervasive Systems, IR-66944, EWI-9261, METIS-242155",
author = "{Marin Perianu}, Raluca and {Marin Perianu}, Mihai and Havinga, {Paul J.M.} and Johan Scholten",
year = "2007",
month = "1",
day = "30",
language = "Undefined",
series = "CTIT Technical Report Series",
publisher = "Centre for Telematics and Information Technology (CTIT)",
number = "TR-CTIT-07-06",
address = "Netherlands",

}

Marin Perianu, R, Marin Perianu, M, Havinga, PJM & Scholten, J 2007, Movement-based Group Awareness with Wireless Sensor Networks. CTIT Technical Report Series, no. TR-CTIT-07-06, Centre for Telematics and Information Technology (CTIT), Enschede.

Movement-based Group Awareness with Wireless Sensor Networks. / Marin Perianu, Raluca; Marin Perianu, Mihai; Havinga, Paul J.M.; Scholten, Johan.

Enschede : Centre for Telematics and Information Technology (CTIT), 2007. 19 p. (CTIT Technical Report Series; No. TR-CTIT-07-06).

Research output: Book/ReportReportProfessional

TY - BOOK

T1 - Movement-based Group Awareness with Wireless Sensor Networks

AU - Marin Perianu, Raluca

AU - Marin Perianu, Mihai

AU - Havinga, Paul J.M.

AU - Scholten, Johan

PY - 2007/1/30

Y1 - 2007/1/30

N2 - We propose a method through which dynamic sensor nodes determine that they move together, by communicating and correlating their movement information. We describe two possible solutions, one using inexpensive tilt switches, and another one using low-cost MEMS accelerometers. We implement a fast, incremental correlation algorithm, with an execution time of 6ms, which can run on resource constrained devices. The tests with the implementation on real sensor nodes show that the method is reliable and distinguishes between joint and separate movements. In addition, we analyze the scalability from four different perspectives: communication, energy, memory and execution speed. The solution using tilt switches proves to be simpler, cheaper and more energy efficient, while the accelerometer-based solution is more reliable, more robust to sensor alignment problems and, potentially, more accurate by using extended features, such as speed and distance.

AB - We propose a method through which dynamic sensor nodes determine that they move together, by communicating and correlating their movement information. We describe two possible solutions, one using inexpensive tilt switches, and another one using low-cost MEMS accelerometers. We implement a fast, incremental correlation algorithm, with an execution time of 6ms, which can run on resource constrained devices. The tests with the implementation on real sensor nodes show that the method is reliable and distinguishes between joint and separate movements. In addition, we analyze the scalability from four different perspectives: communication, energy, memory and execution speed. The solution using tilt switches proves to be simpler, cheaper and more energy efficient, while the accelerometer-based solution is more reliable, more robust to sensor alignment problems and, potentially, more accurate by using extended features, such as speed and distance.

KW - CAES-PS: Pervasive Systems

KW - IR-66944

KW - EWI-9261

KW - METIS-242155

M3 - Report

T3 - CTIT Technical Report Series

BT - Movement-based Group Awareness with Wireless Sensor Networks

PB - Centre for Telematics and Information Technology (CTIT)

CY - Enschede

ER -

Marin Perianu R, Marin Perianu M, Havinga PJM, Scholten J. Movement-based Group Awareness with Wireless Sensor Networks. Enschede: Centre for Telematics and Information Technology (CTIT), 2007. 19 p. (CTIT Technical Report Series; TR-CTIT-07-06).