DocumentCode :
2757176
Title :
PEAN: A Probabilistic Energy Aware Neighbor Monitoring Protocol for Mobile Ad Hoc Networks
Author :
Hsu, Hung-Yuan ; Hurson, Ali R.
Author_Institution :
Dept. of Comput. Sci. & Eng., Pennsylvania State Univ., University Park, PA
Volume :
2
fYear :
2007
fDate :
21-23 May 2007
Firstpage :
201
Lastpage :
206
Abstract :
This paper presents a novel application of the wake-up based power management protocol. MAC layer power management protocols have been studied for years. The power management mechanism which exploits the IEEE 802.11 power saving mode to save energy by turning on/off the network interface card is called the wake-up based power management. The previous proposals for the wake-up based power management focus on the network operations and neighbor discovery. In this paper, we apply the wake-up based power management to neighbor monitoring in securing mobile ad hoc networks (MANETs). We propose a probabilistic wake-up based power management protocol for neighbor monitoring which aims to reduce energy consumption while preserving the effectiveness of misbehaving node detection. We show by analysis and simulation the relation between the wake-up probability and the misbehavior detection rate.
Keywords :
access protocols; ad hoc networks; mobile radio; probability; telecommunication network management; telecommunication security; IEEE 802.11 power saving mode; MAC layer power management protocol; energy consumption reduction; mobile ad hoc network security; neighbor discovery; network interface card; node misbehavior detection rate; probabilistic energy aware neighbor monitoring protocol; probabilistic wake-up based power management protocol; Analytical models; Computer network management; Energy consumption; Energy management; Mobile ad hoc networks; Monitoring; Protocols; Scheduling; Switches; Watches;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Information Networking and Applications Workshops, 2007, AINAW '07. 21st International Conference on
Conference_Location :
Niagara Falls, Ont.
Print_ISBN :
978-0-7695-2847-2
Type :
conf
DOI :
10.1109/AINAW.2007.282
Filename :
4224105
Link To Document :
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