  During the initial years of its inception, the Internet was widely used for
transferring data packets between users and respective data sources by using IP
addresses. With the advancements in technology, the Internet has been used to
share data within several small and resource-constrained devices connected in
billions to create the framework for the so-called Internet of Things (IoT).
These systems were known for the presentation of a large quantum of data
emerging within these devices. On the flip side, these devices are known to
impose huge overheads on the IoT network. Therefore, it was essential to
develop solutions concerning different network-related problems as a part of
IoT networking. In this paper, we review these challenges emerge in routing,
congestion, energy conservation, scalability, heterogeneity, reliability,
security, and quality of service (QoS). This can be leverage to use the
available network optimally. As part of this research work, a detailed survey
is to be conducted on the network optimization process within IoT, as presented
in another research. Owing to the advances in wireless networking, relevant
Internet-of-Things (IoT) devices were equipped with several elements, including
multiple network access interfaces. The adoption of multipath TCP (MPTCP)
technology would improve the total throughput of data transmission. On the
other hand, leveraging traditional MPTCP path management algorithms lead to
other problems in data transport areas along with even buffer blockage. This
shall lead to massive issues in areas of reduction of transmission performance
across the entire IoT network. To this end, we develop a novel multipath
algorithm that would efficiently manage the data transport in an intelligently
scheduled and seamless manner using multiple wireless/wireline paths.
