Autonomous Monitoring of Critical Infrastructures

Sajid Nazir; Hassan  Hamdoun; Fabio Verdicchio; Godred Fairhurst

doi:10.1109/ICCNEEE.2015.7381369

Autonomous Monitoring of Critical Infrastructures

Sajid Nazir, Hassan Hamdoun, Fabio Verdicchio, Godred Fairhurst

Research output: Contribution to conference › Unpublished paper › peer-review

3 Citations (Scopus)

27 Downloads (Pure)

Abstract

Availability of low-cost imaging devices for embedded applications has enabled wireless multimedia sensor networks that can process and transmit image and video data in addition to scalar data. Such networks can be effectively employed to autonomously monitor: (i) the surface conditions and structural health of bridges and transport infrastructures at various geographical locations; (ii) the operational and environmental conditions of water wells and other life-critical resources in isolated areas. This paper describes an autonomous monitoring system. The paper focus is on critical transport infrastructure and natural resources in remote locations. The system identifies and reports the onset of anomalous conditions enabling infrastructure managers, government and community organizations to reduce service disruption, reduce risks and potentially save lives. This is beneficial to infrastructure owners, users and the local community. Initial system trials on infrastructure monitoring are presented, with further discussion of natural resources monitoring and disaster response in developing countries around the world. These provide a case- study for wider stakeholder involvement from government and public sector organizations, and NGOs.

Original language	English
Number of pages	6
DOIs	https://doi.org/10.1109/ICCNEEE.2015.7381369
Publication status	Published - 7 Sept 2015
Event	IEEEE- The International Conference on Computing, Control, Networking, Electronics and Embedded Systems Engineering (ICCNEEE 2015) - Sudan, Khartoum, Sudan Duration: 7 Sept 2015 → 9 Sept 2015

Conference

Conference	IEEEE- The International Conference on Computing, Control, Networking, Electronics and Embedded Systems Engineering (ICCNEEE 2015)
Country/Territory	Sudan
City	Khartoum
Period	7/09/15 → 9/09/15

Bibliographical note

This paper won the best paper award in the Networking and Communications Track at the IEEE ICCNEEE2015 conference.

The research described here is supported by the award made
by the RCUK Digital Economy program to the dot.rural Digital Economy Hub, reference: EP/G066051/1. The authors would like to acknowledge Shadin Alfadil for providing Khartoum water level data, Osama Fadlalla for the Nafeer community group report and information about Nafeer’s operations and Rashid Yahya Mudall for the insightful discussion and data on water levels of wells in the West of Sudan.

previously availabe at https://erg.abdn.ac.uk/research.php

Keywords

Remote monitoring
Energy Harvesting
Embedded Systems
Critical Infrastructure

Access to Document

10.1109/ICCNEEE.2015.7381369

Cite this

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title = "Autonomous Monitoring of Critical Infrastructures",

abstract = "Availability of low-cost imaging devices for embedded applications has enabled wireless multimedia sensor networks that can process and transmit image and video data in addition to scalar data. Such networks can be effectively employed to autonomously monitor: (i) the surface conditions and structural health of bridges and transport infrastructures at various geographical locations; (ii) the operational and environmental conditions of water wells and other life-critical resources in isolated areas. This paper describes an autonomous monitoring system. The paper focus is on critical transport infrastructure and natural resources in remote locations. The system identifies and reports the onset of anomalous conditions enabling infrastructure managers, government and community organizations to reduce service disruption, reduce risks and potentially save lives. This is beneficial to infrastructure owners, users and the local community. Initial system trials on infrastructure monitoring are presented, with further discussion of natural resources monitoring and disaster response in developing countries around the world. These provide a case- study for wider stakeholder involvement from government and public sector organizations, and NGOs.",

keywords = "Remote monitoring, Energy Harvesting, Embedded Systems , Critical Infrastructure ",

author = "Sajid Nazir and Hassan Hamdoun and Fabio Verdicchio and Godred Fairhurst",

note = "This paper won the best paper award in the Networking and Communications Track at the IEEE ICCNEEE2015 conference. The research described here is supported by the award made by the RCUK Digital Economy program to the dot.rural Digital Economy Hub, reference: EP/G066051/1. The authors would like to acknowledge Shadin Alfadil for providing Khartoum water level data, Osama Fadlalla for the Nafeer community group report and information about Nafeer{\textquoteright}s operations and Rashid Yahya Mudall for the insightful discussion and data on water levels of wells in the West of Sudan. previously availabe at https://erg.abdn.ac.uk/research.php ; IEEEE- The International Conference on Computing, Control, Networking, Electronics and Embedded Systems Engineering (ICCNEEE 2015) ; Conference date: 07-09-2015 Through 09-09-2015",

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doi = "10.1109/ICCNEEE.2015.7381369",

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T1 - Autonomous Monitoring of Critical Infrastructures

AU - Nazir, Sajid

AU - Hamdoun, Hassan

AU - Verdicchio, Fabio

AU - Fairhurst, Godred

N1 - This paper won the best paper award in the Networking and Communications Track at the IEEE ICCNEEE2015 conference. The research described here is supported by the award made by the RCUK Digital Economy program to the dot.rural Digital Economy Hub, reference: EP/G066051/1. The authors would like to acknowledge Shadin Alfadil for providing Khartoum water level data, Osama Fadlalla for the Nafeer community group report and information about Nafeer’s operations and Rashid Yahya Mudall for the insightful discussion and data on water levels of wells in the West of Sudan. previously availabe at https://erg.abdn.ac.uk/research.php

PY - 2015/9/7

Y1 - 2015/9/7

N2 - Availability of low-cost imaging devices for embedded applications has enabled wireless multimedia sensor networks that can process and transmit image and video data in addition to scalar data. Such networks can be effectively employed to autonomously monitor: (i) the surface conditions and structural health of bridges and transport infrastructures at various geographical locations; (ii) the operational and environmental conditions of water wells and other life-critical resources in isolated areas. This paper describes an autonomous monitoring system. The paper focus is on critical transport infrastructure and natural resources in remote locations. The system identifies and reports the onset of anomalous conditions enabling infrastructure managers, government and community organizations to reduce service disruption, reduce risks and potentially save lives. This is beneficial to infrastructure owners, users and the local community. Initial system trials on infrastructure monitoring are presented, with further discussion of natural resources monitoring and disaster response in developing countries around the world. These provide a case- study for wider stakeholder involvement from government and public sector organizations, and NGOs.

AB - Availability of low-cost imaging devices for embedded applications has enabled wireless multimedia sensor networks that can process and transmit image and video data in addition to scalar data. Such networks can be effectively employed to autonomously monitor: (i) the surface conditions and structural health of bridges and transport infrastructures at various geographical locations; (ii) the operational and environmental conditions of water wells and other life-critical resources in isolated areas. This paper describes an autonomous monitoring system. The paper focus is on critical transport infrastructure and natural resources in remote locations. The system identifies and reports the onset of anomalous conditions enabling infrastructure managers, government and community organizations to reduce service disruption, reduce risks and potentially save lives. This is beneficial to infrastructure owners, users and the local community. Initial system trials on infrastructure monitoring are presented, with further discussion of natural resources monitoring and disaster response in developing countries around the world. These provide a case- study for wider stakeholder involvement from government and public sector organizations, and NGOs.

KW - Remote monitoring

KW - Energy Harvesting

KW - Embedded Systems

KW - Critical Infrastructure

U2 - 10.1109/ICCNEEE.2015.7381369

DO - 10.1109/ICCNEEE.2015.7381369

M3 - Unpublished paper

T2 - IEEEE- The International Conference on Computing, Control, Networking, Electronics and Embedded Systems Engineering (ICCNEEE 2015)

Y2 - 7 September 2015 through 9 September 2015

ER -

Autonomous Monitoring of Critical Infrastructures

Abstract

Conference

Bibliographical note

Keywords

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Cite this