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HGRP: Optimal Neighborhood Discovery in IOT Applications

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Abstract

The information sensed from varied set of heterogeneous sensor nodes tends to get traversed all through other intermediary nodes as a means of attaining a proximal base station through a multi-hop scenario. The concept of interoperability interrupts with big bang among heterogeneous sensors to get compatible and comply with each other. A neighbouring node gets opted the all working sequence. The spawning a mechanism adapts with bandwidth of information along with a disseminating pattern deprived of any sort of lag involved. Hamiltonian Graph based Routing Protocol for plotting a feasible path among all those heterogeneous nodes to reach the sink node ultimately. NP-Complete problem of excavating a feasible pancyclic paths gets uncovered by eliminating all sorts of faulty cyclic paths accompanied with initialized primary networking parameters in prior to the neighbourhood selection in every layer. Finally, feasible path accompanied with an optimal channel bandwidth gets opted for information dissemination.

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I Am T.Venkatesh Hereby State That The Manuscript Title Entitled “HGRP: Optimal Neighborhood Discovery In IOT Applications” Submitted To The “Wireless Personal Communications”, I and my Co-author Dr. Rekha Chakravarthi confirm that this work is original and has not been published elsewhere, nor is it currently under consideration for publication elsewhere. And I am research scholar in the department of electronics & communication engineering at Sathyabama Institute of Science and Technology, Chennai, and Tamil Nadu, India.

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Correspondence to T. Venkatesh.

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Venkatesh, T., Chakravarthi, R. HGRP: Optimal Neighborhood Discovery in IOT Applications. Wireless Pers Commun 123, 2129–2149 (2022). https://doi.org/10.1007/s11277-021-09231-3

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