Resourceful association control in wireless mobile environment

Mondal, Tamal; Bag, Saikat; Bhattachrya, Indrajit

doi:10.1109/ciec.2016.7513794

Cited by 1 publication

(1 citation statement)

References 9 publications

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“…However, resource utilization and assignment in a traditional wireless network is typically not ideal. In problem A, most end devices used that an AP with better Received Signal Strength Indication (RSSI) has higher signal quality [5][6][7][8][9]. If many end devices choose an AP based on RSSI in this way, some APs are likely to become overloaded, causing some of the end devices to access APs in a highcontention situation.…”

Section: A Motivationmentioning

confidence: 99%

Towards Adaptive Network Resource Orchestration for Cognitive Radio Networks

Yi-Wei¹,

Yi-Wei²,

Chen³

et al. 2022

Journal of Internet Technology

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<p>This work proposes an adaptive resource orchestration system for a Wireless Local Area Network (WLAN) that is based on the operating principle of Cognitive Radio (CR) technology. By collecting environmental parameters, including the retransmission rate and the channel occupancy rate, the proposed system has “knowledge” of overall transmission behavior and can regulate transmission resources. An Adaptive Connection Assignment (ACA) mechanism is proposed for end devices; it find out target end devices with poor transmission performance, analyzes their alternative Access Point (AP) availability and causes them to change connections to improve transmission performance. An Adaptive Channel Utilization (ACU) mechanism is designed for APs to identify a target AP that is suffering from interference, to analyze its alternative channel availability and to require it to change its working channel to improve transmission efficiency. Results of simulations of various scenarios indicate that the throughput of end devices is increased by 15 to 24%, the throughput of APs is increased by 6 to 47% and the retransmission rate of APs is reduced by 0.4 to 5.3%.</p> <p> </p>

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