Maximum Allowable Transfer Interval Aware Scheduling for Wireless Remote Monitoring

In this paper, we tackle the problem of remote monitoring (e.g., remote factory) in which a number of sensor nodes are transmitting time sensitive measurements to a remote monitoring site. We assume that packets generated by different sensors have different sizes. Moreover, different sensors have different Maximum Allowable Transfer Intervals (MATIs). We consider minimizing a metric that maintains a trade-off between minimizing the average MATI violation of all sensors, and minimizing the probability that the MATI violation of each sensor exceeds a predefined threshold. We formulate the problem as a stochastic optimization problem with integer constraints. In order to solve this problem, we first relax the original intractable formulation to a tractable problem. Then, we use the Lyapunov stochastic optimization framework to solve the relaxed problem. Simulation results show that the proposed algorithm outperforms the considered baselines in terms of minimizing the probability of the MATI violation for all sensors.

Authors:
Krouka Mounssif, Elgabli Anis, Bennis Mehdi

Publication type:
A4 Article in conference proceedings

Place of publication:
2020 IEEE Wireless Communications and Networking Conference (WCNC)

Keywords:
5G, IoT, Stochastic Optimization, URLLC, Wireless Networked Control Systems

Published:

Full citation:
M. Krouka, A. Elgabli and M. Bennis, “Maximum Allowable Transfer Interval Aware Scheduling for Wireless Remote Monitoring,” 2020 IEEE Wireless Communications and Networking Conference (WCNC), Seoul, Korea (South), 2020, pp. 1-6, doi: 10.1109/WCNC45663.2020.9120636

DOI:
https://doi.org/10.1109/WCNC45663.2020.9120636

Read the publication here:
http://urn.fi/urn:nbn:fi-fe2020081248378