Title :
Signal-centric predictive polling for medium access control in M2M communications networks
Author :
Rung-Hung Gau ; Chih-Huan Chen
Author_Institution :
Dept. of Electr. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Abstract :
In this paper, we propose signal-centric polling-based medium access control algorithms for machine-to-machine communications networks in which the total number of machines is much larger than the total number of channels. To minimize the total prediction error of signals collected at the base station in each time slot, we propose the signal-centric predictive polling algorithm. To mitigate the starvation problem, we propose the weighted signal-centric predictive polling algorithm that strikes a good balance between prediction error and fairness. Analytical and simulation results are included to justify the usage of the proposed algorithms.
Keywords :
error analysis; prediction theory; radiocommunication; M2M communications network; base station; machine-to-machine communication; medium access control algorithm; signal prediction error; signal-centric predictive polling; starvation problem mitigation; Algorithm design and analysis; Base stations; Indexes; Media Access Protocol; Prediction algorithms; Sensors; Stochastic processes; machine-to-machine communications; mean square estimation; polling-based medium access control; stochastic processes;
Conference_Titel :
Wireless Communications and Networking Conference (WCNC), 2015 IEEE
Conference_Location :
New Orleans, LA
DOI :
10.1109/WCNC.2015.7127624
