DocumentCode :
2743097
Title :
Multimode WSN: Improving Robustness, Fault Tolerance and Performance of Randomly Deployed Wireless Sensor Network
Author :
Pileggi, Salvatore F. ; Palau, Carlos E. ; Esteve, Manuel
Author_Institution :
Commun. Dept., Polytech. Univ. of Valencia, Valencia, Spain
fYear :
2010
fDate :
28-30 July 2010
Firstpage :
112
Lastpage :
117
Abstract :
This paper proposes an advanced, robust and flexible solution that applies the (revised) concept of Always Best Connected (ABC) Network, typical of multimode modern mobile devices, to Wireless Sensor Network. Hostile environments and unpredictable conditions (e.g. interferences) can negatively affect communication range, potentially increasing the number of unconnected nodes in random deployments. Multimode Wireless Sensor Network (MM-WSN) is provided with an adaptive mechanism for environmental condition evaluation and with the ability of self-configuring itself for optimal networking independence of detected conditions. Proposed solution is based on advanced smart nodes provided with multiple resource in terms of computation, storage, communication and sensing that, with the support of proposed framework, allows complex mechanisms for fault detecting/tolerance and for the increasing of network robustness and performance. Several research issues are addressed by the paper.
Keywords :
fault tolerance; mobile communication; performance evaluation; wireless sensor networks; ABC network; MM-WSN; advanced smart nodes; always best connected network; environmental condition evaluation; fault detecting; fault tolerance; multimode WSN; multimode modern mobile devices; network performance; network robustness; randomly deployed wireless sensor network; Ad hoc networks; Base stations; Protocols; Robustness; Sensors; Wireless communication; Wireless sensor networks; Always Connected/Always Best Connected Network; Computational Intelligence; Fault tolerance; Network Protocols; Wireless Sensor Network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence, Communication Systems and Networks (CICSyN), 2010 Second International Conference on
Conference_Location :
Liverpool
Print_ISBN :
978-1-4244-7837-8
Electronic_ISBN :
978-0-7695-4158-7
Type :
conf
DOI :
10.1109/CICSyN.2010.12
Filename :
5614754
Link To Document :
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