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
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