Wireless Sensor Networks (WSN) are self-configured and infrastructure-less wireless networks widely used in applications such as military surveillance, environmental monitoring, healthcare, smart transportation, and more. To maximize WSN performance, it is crucial to extend network lifetime. One effective way to achieve this is through optimal cluster head selection. To overcome issues such as node failures, traffic congestion, and reduced network lifetime, an efficient cluster head rotation mechanism based on residual energy is proposed.
In existing clustering technologies, devices with only homogeneous capabilities are considered, as most clustering schemes rely on homogeneous WSN regions.
Current methods lack information about sensor node positions. As node distance increases, energy consumption rises significantly, reducing efficiency.
Cluster heads consume large amounts of energy for data storage and transmission, leading to premature node energy exhaustion.
Additionally, many existing methods transmit data directly to the base station. This centralized approach can damage specific regions of the network, leading to isolation and reduced lifetime, which is undesirable in critical applications.
Experts at Star Technology provide comprehensive, end-to-end PhD paper writing and publication support. Call/WhatsApp +91 8870457435 for guaranteed journal publication in efficient cluster head rotation based on residual energy.
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https://www.mdpi.com/1424-8220/20/1/277/htm
http://ijirt.org/Article?manuscript=143640/
https://www.hindawi.com/journals/isrn/2013/909086/
http://www.jetir.org/view?paper=JETIR1502031
https://www.sciencedirect.com/science/article/pii/S2314717216301106
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