Title
Adaptive Anomaly Control For Alleviating The Exclusive Channel Occupation In Wireless Networks
Abstract
In wireless local area networks, interframe space is determined according to the type of transmission frame in order to perform effective transmission and collision avoidance using carrier sense multiple access/collision avoidance (CSMA/CA) mechanism and to attempt transmission after backoff time. In carrier sense multiple access/collision avoidance mechanism, however, each node individually determines the interframe space according to the transmission frames and randomly selects the backoff time; thus, the nodes can be selfish, which reduces the interframe space or backoff time in order to increase the channel occupation rate. This increase leads to an increase in bandwidth in channels dominated by such selfish nodes and a decrease in bandwidth of other nodes. After all, to prevent exclusive channel occupation and to guarantee fair channel access, it is necessary to establish detection and control schemes for selfish nodes. We propose misbehavior detection and control scheme for use in media access control layers, which involves comparison of the channel occupation rates of all nodes and a selective control scheme using a network allocation vector clearing method. We also validate the misbehavior detection and control scheme through extensive simulation. Copyright (c) 2012 John Wiley & Sons, Ltd.
Year
DOI
Venue
2013
10.1002/dac.2357
INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS
Keywords
Field
DocType
CSMA, CA mechanism, selfish node detection, exclusive channel occupation, misbehavior detection
Network allocation vector,Exponential backoff,Wireless network,Media access control,Wireless,Computer science,Computer network,Communication channel,Real-time computing,Bandwidth (signal processing),Carrier sense multiple access with collision avoidance
Journal
Volume
Issue
ISSN
26
6
1074-5351
Citations 
PageRank 
References 
1
0.38
17
Authors
4
Name
Order
Citations
PageRank
Hyunhee Park18919.92
Taeshik Shon246755.83
Seunghyun Park3669.29
Eui-Jik Kim413618.67