| dc.description.abstract |
The IEEE 802.11ah standard has been developed
to provide Internet access to a large number of devices in
the Internet of Things (IoT) and machine-to-machine (M2M)
networks. To handle contention from a large number of devices
and reduce the collision probability, IEEE 802.11ah partitions
nodes into groups by adopting a group-based MAC protocol.
The formed groups may consist of nodes with different traffic
patterns and hence, the data rate requirements of nodes in
a group (and consequently the groups themselves) may not
be uniform. To maximize the throughput while minimizing
unfairness across groups, this paper formulates fair scheduling
in IEEE 802.11ah networks as a multi-objective optimization
problem. To maintain fairness among the nodes in a group,
contention window size selection of nodes is formulated as an
integer programming problem. Since it is difficult to solve these
problems in real time, heuristic methods are also proposed.
Performance of the proposed methods is evaluated in a dense
IoT network and compared with the existing methods. As the
number of nodes and groups increase, the proposed method
consistently shows a superior performance in terms of fairness,
throughput, delay, and power consumption, compared to the
existing methods. |
en_US |