Open AccessEfficient Cluster Head Selection in IEEE 802.11ahfor IoT Applications
Publication year - 2021
Publication title -
international journal of advanced trends in computer science and engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3091
DOI - 10.30534/ijatcse/2021/291012021
Subject(s) - computer science , computer network , initialization , service set , access control , ieee 802.11 , selection (genetic algorithm) , ieee 802.1x , ieee 802.11u , ieee 802 , throughput , wireless , wireless network , telecommunications , wi fi , quality of service , artificial intelligence , programming language
EEE 802.11ah is a wireless LAN standard in the sub-1-GHz license-exempt bands for cost-effective and long-range communication. The most challenging issue in IEEE 802.11ah is to ensure that thousands of stations associate efficiently with a single access point. When several thousand stations try to associate with the access point during network initialization, it causes channel contention and long association delay. IEEE 802.11ah has introduced an authentication control mechanism (ACM) that divides the stations into groups allowing fewest stations to access the medium. In this paper, we propose to automate the cluster head selection using LEACH. Simulation results reveal that our proposed method is efficient in terms of association delay.