Chen, Dong and Khan, Jamil and Javed, Muhammad Awais and Brown, Jason 
ORCID: https://orcid.org/0000-0002-0698-5758
(2019)
Interference mitigation techniques for a dense
heterogeneous area network in machine-to-machine
communications.
Transactions on Emerging Telecommunications Technologies, 30 (12).
pp. 1-24.
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Text (Accepted Version)
Wiley ETT journal article 2019 final manuscript.pdf Download (1MB) | Preview |
Abstract
With the advent of Machine-to-Machine (M2M) communications, various networking consumer
industrial and autonomous systems exchange messages in the real world in order to achieve their
objectives. Parts of these systems are comprised of short-range wireless networks in the form of
clusters that collectively cover a large geographical area. In these clusters, the nodes that represent the
cluster heads need to deal with two types of communications: one is within the cluster and the other is
from the cluster to the sink node. As the number of clusters increases, it takes multiple hops for the
cluster head to forward data to the sink node, thus resulting in a low packet delivery rate and
throughput. To solve this problem, we propose a heterogeneous area network in which the cluster
head is equipped with two types of radios: the IEEE 802.15.4 and IEEE 802.11 radios. The former is
for the devices within the cluster to communicate, whereas the latter is for the cluster heads to
communicate to the sink node. Although the IEEE 802.11 links increase the link capacity, the IEEE
802.11 radio and the IEEE 802.15.4 radio might share the 2.4 GHz unlicensed band, thus giving rise
to the inter-network collisions or interference. To tackle this problem and to maintain decent Qualityof-
Service (QoS) for the network, we subsequently present two interference mitigation techniques, in
which a Blank Burst (BB) period is proposed so that the IEEE 802.15.4 radios can be suspended while
the IEEE 802.11 radios are active. Simulation results show the proposed two methods can effectively
mitigate the inter-network collisions and are superior to the existing technique, which uses an adaptive
aggregation technique to mitigate the inter-network collisions.
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