DocumentCode :
605271
Title :
Energy Management in Wireless Sensor Network
Author :
Shelke, R. ; Kulkarni, Gaurav ; Sutar, R. ; Bhore, P. ; Nilesh, Dudhatra ; Belsare, S.
Author_Institution :
Marathwada Mitra Mandal´s Polytech., Pune, India
fYear :
2013
fDate :
10-12 April 2013
Firstpage :
668
Lastpage :
671
Abstract :
In recent years, the number of wireless sensor network deployments for real life applications has rapidly increased. Still, the energy problem remains one of the major barriers somehow preventing the complete exploitation of this technology. Sensor nodes are typically powered by batteries with a limited lifetime and, even when additional energy can be harvested from the external environment (e.g., through solar cells or piezo-electric mechanisms), it remains a limited resource to be consumed judiciously. Efficient energy management is thus a key requirement for a credible design of a wireless sensor network. Wireless sensor networks find great applications in radiation levels control, noise pollution control, atmospheric pollution control, structural health monitoring and smart vehicle parking. All sensors present in wireless sensor network are battery operated devices which have limited battery power. After the deployment of sensor devices it is impossible to replace each and every battery present in the network. So energy conservation must be taken. In this paper we proposed an energy efficient dynamic power management technique which can reduce power consumed by each sensor node by shutting down some components of sensors according to our algorithm which yields better savings and enhanced life time.
Keywords :
energy conservation; energy management systems; wireless sensor networks; atmospheric pollution control; dynamic power management technique; energy conservation; energy management; external environment; noise pollution control; piezo-electric mechanisms; radiation levels control; smart vehicle parking; solar cells; structural health monitoring; wireless sensor network deployments; Batteries; Energy management; Monitoring; Reliability; Sensors; Wireless communication; Wireless sensor networks; Node; Power; Sensor; WSN;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Modelling and Simulation (UKSim), 2013 UKSim 15th International Conference on
Conference_Location :
Cambridge
Print_ISBN :
978-1-4673-6421-8
Type :
conf
DOI :
10.1109/UKSim.2013.139
Filename :
6527498
Link To Document :
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