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Internet of Things (IoT) has emerged as a transformative technology that
connects various devices and systems to enable seamless communication and
data exchange.
However, the rapid proliferation of IoT devices has led to significant
challenges in terms of energy consumption and connectivity, highlighting
the need for sustainable and energy-efficient solutions.
Considering the aforementioned facts, in this dissertation, we propose
different schemes to support seamless connectivity and minimize the energy
consumption of IoT networks. Connectivity plays a major role in enabling
efficient data exchange and communication among IoT devices.
Research in this area focuses on developing optimized routing protocols,
adaptive transmission schemes, and efficient spectrum utilization
techniques.
However, despite the aforementioned advancements, connectivity remains one
of the primary concerns for IoT networks.
Additionally, resource limitations prevent using all communication
protocols in IoT networks. Interruptions caused by interference and
mobility affect the seamless operation of IoT networks, necessitating the
development of schemes to reduce communication disruptions.
In this dissertation, we focus on the adaptability of IEEE 802.11
communication protocols for IoT networks considering their interoperability
and broad device compatibility.
Energy scarcity is a major concern for low-power and battery-operated IoT
devices. Resource constraints limit their ability to handle large-scale
data processing, and batteries need to be recharged to avoid connectivity
loss.
However, recharging batteries is challenging in hostile regions, leading
researchers to propose various energy harvesting methods for IoT
networks. Harvesting energy from renewable energy sources, such as solar,
wind, and ocean waves, is preferred over non-renewable ones due to the
reduction in global supply and large carbon footprint of non-renewable
energy sources.
The dependency of environmental energy sources on weather dynamics makes
them inefficient in supplying stable energy to IoT nodes.
Therefore, in addition to renewable and laser energy harvesting,
energy-efficient schemes need to be considered to avoid energy outages of IoT
devices.
In this dissertation, we propose schemes to – a) restore the energy balance
of resource constrained IoT networks, b) minimize the dissociation of IoT
devices from their associated access points, c) maintain connected
dominating set in energy harvesting-enabled IoT devices, d) managing energy
harvesting of access points in software-defined wireless local area
networks, and e) minimize the energy consumption and latency of allocating
IoT services to edge servers.
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Keywords:
IoT devices, IoT networks, Energy, Solar energy harvesting, Connectivity,
IEEE 802.11, Laser, Network interference, Mobility, Dissociation, Con-
nected dominating set, Software-defined wireless local area networks,
MetaHeuristic algorithms
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