Dynamic clustering of multi-modal sensor networks in urban scenarios

Yicheng Wen, Doina Bein, Shashi Phoha

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

The paper addresses the issue of self-adaptation of a multi-modal sensor network with mobile sensors to better observe and track events of interest in a changing urban scenario by presenting a software module (middleware) called Event-driven Network Controller (ENC) that resides at every sensor node in the network and is independent of the sensor type. ENC translates the requirements of the application layer into messages that are diffused locally with the purpose of clustering multi-modal sensor nodes in the vicinity of an event and dynamically changing the local network topology, all to enhance the quality of the multi-modal data fusion. ENC is implemented in NS-2 to show its applicability for tracking a mobile target in an urban scenario using a network of pressure, video, and magnetic sensors.

Original languageEnglish (US)
Pages (from-to)130-140
Number of pages11
JournalInformation Fusion
Volume15
Issue number1
DOIs
StatePublished - Jan 1 2014

Fingerprint

Sensor networks
Sensor nodes
Controllers
Magnetic sensors
Sensors
Data fusion
Middleware
Topology

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Information Systems
  • Hardware and Architecture

Cite this

Wen, Yicheng ; Bein, Doina ; Phoha, Shashi. / Dynamic clustering of multi-modal sensor networks in urban scenarios. In: Information Fusion. 2014 ; Vol. 15, No. 1. pp. 130-140.
@article{a36374f2b35a489c8728ba5ac2aff276,
title = "Dynamic clustering of multi-modal sensor networks in urban scenarios",
abstract = "The paper addresses the issue of self-adaptation of a multi-modal sensor network with mobile sensors to better observe and track events of interest in a changing urban scenario by presenting a software module (middleware) called Event-driven Network Controller (ENC) that resides at every sensor node in the network and is independent of the sensor type. ENC translates the requirements of the application layer into messages that are diffused locally with the purpose of clustering multi-modal sensor nodes in the vicinity of an event and dynamically changing the local network topology, all to enhance the quality of the multi-modal data fusion. ENC is implemented in NS-2 to show its applicability for tracking a mobile target in an urban scenario using a network of pressure, video, and magnetic sensors.",
author = "Yicheng Wen and Doina Bein and Shashi Phoha",
year = "2014",
month = "1",
day = "1",
doi = "10.1016/j.inffus.2012.09.003",
language = "English (US)",
volume = "15",
pages = "130--140",
journal = "Information Fusion",
issn = "1566-2535",
publisher = "Elsevier",
number = "1",

}

Dynamic clustering of multi-modal sensor networks in urban scenarios. / Wen, Yicheng; Bein, Doina; Phoha, Shashi.

In: Information Fusion, Vol. 15, No. 1, 01.01.2014, p. 130-140.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Dynamic clustering of multi-modal sensor networks in urban scenarios

AU - Wen, Yicheng

AU - Bein, Doina

AU - Phoha, Shashi

PY - 2014/1/1

Y1 - 2014/1/1

N2 - The paper addresses the issue of self-adaptation of a multi-modal sensor network with mobile sensors to better observe and track events of interest in a changing urban scenario by presenting a software module (middleware) called Event-driven Network Controller (ENC) that resides at every sensor node in the network and is independent of the sensor type. ENC translates the requirements of the application layer into messages that are diffused locally with the purpose of clustering multi-modal sensor nodes in the vicinity of an event and dynamically changing the local network topology, all to enhance the quality of the multi-modal data fusion. ENC is implemented in NS-2 to show its applicability for tracking a mobile target in an urban scenario using a network of pressure, video, and magnetic sensors.

AB - The paper addresses the issue of self-adaptation of a multi-modal sensor network with mobile sensors to better observe and track events of interest in a changing urban scenario by presenting a software module (middleware) called Event-driven Network Controller (ENC) that resides at every sensor node in the network and is independent of the sensor type. ENC translates the requirements of the application layer into messages that are diffused locally with the purpose of clustering multi-modal sensor nodes in the vicinity of an event and dynamically changing the local network topology, all to enhance the quality of the multi-modal data fusion. ENC is implemented in NS-2 to show its applicability for tracking a mobile target in an urban scenario using a network of pressure, video, and magnetic sensors.

UR - http://www.scopus.com/inward/record.url?scp=84885948283&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84885948283&partnerID=8YFLogxK

U2 - 10.1016/j.inffus.2012.09.003

DO - 10.1016/j.inffus.2012.09.003

M3 - Article

VL - 15

SP - 130

EP - 140

JO - Information Fusion

JF - Information Fusion

SN - 1566-2535

IS - 1

ER -