scholarly journals Decision of mobile devices enabling high throughput and non-high throughput medium access control of 802.11n based on the consideration of energy efficiency

2012 ◽  
Vol 14 (10) ◽  
pp. 1007-1020 ◽  
Author(s):  
Kuo-Chang Ting ◽  
Hwang-Cheng Wang ◽  
Fang-Chang Kuo ◽  
Chih-Cheng Tseng
Keyword(s):  
Energy Efficiency ◽  
Access Control ◽  
Medium Access Control ◽  
Mobile Devices ◽  
High Throughput ◽  
Medium Access

A High Throughput Medium Access Control Implementation Based on IEEE 802.11e Standard

2010 ◽  
Vol E93-B (4) ◽  
pp. 948-960 ◽  
Author(s):  
Min Li HUANG ◽  
Jin LEE ◽  
Hendra SETIAWAN ◽  
Hiroshi OCHI ◽  
Sin-Chong PARK
Keyword(s):  
Access Control ◽  
Medium Access Control ◽  
High Throughput ◽  
Ieee 802.11E ◽  
Medium Access ◽  
Control Implementation

scholarly journals Reinforcement-Learning Based Dynamic Transmission Range Adjustment in Medium Access Control for Underwater Wireless Sensor Networks

Electronics ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 1727
Author(s):  
Dmitrii Dugaev ◽  
Zheng Peng ◽  
Yu Luo ◽  
Lina Pu
Keyword(s):  
Energy Efficiency ◽  
Reinforcement Learning ◽  
Access Control ◽  
Medium Access Control ◽  
Network Performance ◽  
Energy Savings ◽  
Learning Algorithm ◽  
Mac Protocol ◽  
Transmission Range ◽  
Medium Access

In this paper, we propose a reinforcement learning (RL) based Medium Access Control (MAC) protocol with dynamic transmission range control (TRC). This protocol provides an adaptive, multi-hop, energy-efficient solution for communication in underwater sensors networks. It features a contention-based TRC scheme with a reactive multi-hop transmission. The protocol has the ability to adjust to network conditions using RL-based learning algorithm. The combination of TRC and RL algorithms can hit a balance between the energy consumption and network performance. Moreover, the proposed adaptive mechanism for relay-selection provides better network utilization and energy-efficiency over time, comparing to existing solutions. Using a straightforward ALOHA-based channel access alongside “helper-relays” (intermediate nodes), the protocol is able to obtain a substantial amount of energy savings, achieving up to 90% of the theoretical “best possible” energy efficiency. In addition, the protocol shows a significant advantage in MAC layer performance, such as network throughput and end-to-end delay.

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