Memorias de investigación
Communications at congresses:
Connectivity control in WSN based on Fuzzy Logic Control
Year:2014

Research Areas
  • Sensor networks

Information
Abstract
The connectivity of a wireless sensor network (WSN), specified as the percentage of nodes that are able to reach the base station (BS) that relays nodes data to other networks, has to be kept as high as possible, without either increasing significantly the energy consumption or worsening the WSN overall performance. Modelling accurately a WSN and designing a control system for accomplishing the desired network connectivity is an effortful task. In this paper, an approach based on fuzzy logic control is proposed, as it provides a better trade-off between accuracy, effort and time. The control system running in each node will manage both the communication range to guarantee a minimum number of neighbors called node degree, and the node degree itself, depending on the node?s battery level at each moment. The fuzzy controller running in a node will monitor the own node?s parameters, without flooding WSN with monitoring messages.
International
Si
Congress
ACM SIGBED Review - Special Issue on the 6th Workshop on Adaptive and Reconfigurable Embedded Systems
960
Place
Berlin, Germany
Reviewers
No
ISBN/ISSN
1551-3688
Start Date
14/04/2014
End Date
17/04/2014
From page
54
To page
57
Connectivity control in WSN based on Fuzzy Logic Control
Participants

Research Group, Departaments and Institutes related
  • Creador: Centro o Instituto I+D+i: Centro de Automática y Robótica (CAR). Centro Mixto UPM-CSIC