DocumentCode :
2452003
Title :
Energy efficient blind flooding in wireless sensors networks
Author :
Sausen, Paulo Sérgio ; Spohny, Marco Aurélio ; Perkusichy, Angelo
Author_Institution :
Regional Univ. of Northwestern Rio Grande do Sul, Rio Grande
fYear :
2008
fDate :
10-13 Nov. 2008
Firstpage :
1736
Lastpage :
1741
Abstract :
In a wireless sensor network (WSN), nodes are power constrained. As a consequence, protocols must be energy efficient to prolong the network lifetime while keeping some quality-of-service (QoS) requirements. In WSNs, most protocols resort to the broadcast of control messages like, for example, for the topology control (TC) of the network. On their turn, TC itself can be applied to improve the broadcast of data packets in the network, and because only a subset of nodes need to be active at any, it is possible to extend the network lifetime. We investigate some alternatives to improve broadcasting in WSN for an extended network lifetime. This is accomplished in two ways. First, we adapt the dynamic power management with scheduled switching modes (DPM-SSM) technique to a blind flooding protocol (i.e., FLOOD). To capture the battery capacity recovery effect as a result of applying DPM, we consider a more realistic battery model (i.e. Rakhmatov-Vrudhula battery model). Second, we implement a multi-coverage TC solution for computing an energy efficient broadcast backbone. Extensive simulation results using the NS2 network simulator show that it is possible to extend the network lifetime while keeping good broadcasting performance results.
Keywords :
protocols; quality of service; scheduling; telecommunication network management; telecommunication network reliability; telecommunication network topology; telecommunication switching; wireless sensor networks; Rakhmatov-Vrudhula battery model; dynamic power management; energy efficient blind flooding protocol; multicoverage topology control; quality-of-service requirement; scheduled switching mode; wireless sensor network lifetime; Batteries; Broadcasting; Computational modeling; Energy efficiency; Energy management; Floods; Network topology; Protocols; Quality of service; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics, 2008. IECON 2008. 34th Annual Conference of IEEE
Conference_Location :
Orlando, FL
ISSN :
1553-572X
Print_ISBN :
978-1-4244-1767-4
Electronic_ISBN :
1553-572X
Type :
conf
DOI :
10.1109/IECON.2008.4758216
Filename :
4758216
Link To Document :
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