A service management approach for self-healing wireless sensor networks

Authors:
Helen P. Assunção;Linnyer B. Ruiz;Antônio A. Loureiro
Affiliations:
Electrical Engineering Department, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil;Electrical Engineering Department, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil;Electrical Engineering Department, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
Venue:
AN'06 Proceedings of the First IFIP TC6 international conference on Autonomic Networking
Year:
2006

Citing 4
Cited 0

The Vision of Autonomic Computing

Computer
ITIL as Common Practice Reference Model for IT Service Management: Formal Assessment and Implications for Practice

EEE '05 Proceedings of the 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'05) on e-Technology, e-Commerce and e-Service
Autonomic networks: engineering the self-healing property

Engineering Applications of Artificial Intelligence
On the design of a self-managed wireless sensor network

IEEE Communications Magazine

Quantified Score

Hi-index	0.00

Visualization

Abstract

Wireless Sensor Networks (WSNs) can provide three types of basic services: sensing, processing and disseminating. A shortcoming of any of these services can disturb the network goals. However, failures are not exceptions in WSNs, since problems as energy exhaustion, communication range loss or physical damages are usual incidents. Considering the need of managing WSNs in an efficient manner, improving information quality and availability, this work proposes the use of the IT Infrastructure Library (ITIL) and the autonomic computing paradigm in the design of self-healing WSNs. We also propose a service management approach for a self-managed network that dynamically adapts itself in order to maintain the service availability and promote the resources productivity. This approach aims to employ the self-healing service in WSNs, allowing them to discover, examine, diagnose and react to dysfunctions. Results show that service management applied to a self-healing WSN extend the longevity and availability of the network.